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"2024-04-12T10:18:09.522250Z", - "iopub.status.idle": "2024-04-12T10:18:12.283715Z", - "shell.execute_reply": "2024-04-12T10:18:12.283173Z" + "iopub.execute_input": "2024-04-22T21:46:42.299574Z", + "iopub.status.busy": "2024-04-22T21:46:42.299093Z", + "iopub.status.idle": "2024-04-22T21:46:45.119929Z", + "shell.execute_reply": "2024-04-22T21:46:45.119370Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:12.286267Z", - "iopub.status.busy": "2024-04-12T10:18:12.285977Z", - "iopub.status.idle": "2024-04-12T10:18:12.289701Z", - "shell.execute_reply": "2024-04-12T10:18:12.289254Z" + "iopub.execute_input": "2024-04-22T21:46:45.122500Z", + "iopub.status.busy": "2024-04-22T21:46:45.122114Z", + "iopub.status.idle": "2024-04-22T21:46:45.125643Z", + "shell.execute_reply": "2024-04-22T21:46:45.125212Z" } }, "outputs": [], @@ -152,71 +152,45 @@ "execution_count": 3, "metadata": { "execution": { - 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0.230118\n", " \n", " \n", "\n", "" ], "text/plain": [ - " dark_score is_dark_issue\n", - "34848 0.203922 True\n", - "50270 0.204588 True\n", - "3936 0.213098 True\n", - "733 0.217686 True\n", - "8094 0.230118 True" + " is_dark_issue dark_score\n", + "34848 True 0.203922\n", + "50270 True 0.204588\n", + "3936 True 0.213098\n", + "733 True 0.217686\n", + "8094 True 0.230118" ] }, "execution_count": 26, @@ -2307,10 +2281,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:53.671574Z", - "iopub.status.busy": "2024-04-12T10:22:53.671403Z", - "iopub.status.idle": "2024-04-12T10:22:53.676121Z", - "shell.execute_reply": "2024-04-12T10:22:53.675434Z" + "iopub.execute_input": "2024-04-22T21:51:27.185290Z", + "iopub.status.busy": "2024-04-22T21:51:27.185089Z", + "iopub.status.idle": "2024-04-22T21:51:27.191494Z", + "shell.execute_reply": "2024-04-22T21:51:27.190972Z" }, "nbsphinx": "hidden" }, @@ -2347,10 +2321,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:53.678484Z", - "iopub.status.busy": "2024-04-12T10:22:53.678315Z", - "iopub.status.idle": "2024-04-12T10:22:53.853585Z", - "shell.execute_reply": "2024-04-12T10:22:53.853016Z" + "iopub.execute_input": "2024-04-22T21:51:27.193684Z", + "iopub.status.busy": "2024-04-22T21:51:27.193496Z", + "iopub.status.idle": "2024-04-22T21:51:27.393905Z", + "shell.execute_reply": "2024-04-22T21:51:27.393350Z" } }, "outputs": [ @@ -2392,10 +2366,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:53.855877Z", - "iopub.status.busy": "2024-04-12T10:22:53.855704Z", - "iopub.status.idle": "2024-04-12T10:22:53.863518Z", - "shell.execute_reply": "2024-04-12T10:22:53.862996Z" + "iopub.execute_input": "2024-04-22T21:51:27.396174Z", + "iopub.status.busy": "2024-04-22T21:51:27.395762Z", + "iopub.status.idle": "2024-04-22T21:51:27.403512Z", + "shell.execute_reply": "2024-04-22T21:51:27.403051Z" } }, "outputs": [ @@ -2420,47 +2394,47 @@ " \n", " \n", " \n", - " low_information_score\n", " is_low_information_issue\n", + " low_information_score\n", " \n", " \n", " \n", " \n", " 53050\n", - " 0.067975\n", " True\n", + " 0.067975\n", " \n", " \n", " 40875\n", - " 0.089929\n", " True\n", + " 0.089929\n", " \n", " \n", " 9594\n", - " 0.092601\n", " True\n", + " 0.092601\n", " \n", " \n", " 34825\n", - " 0.107744\n", " True\n", + " 0.107744\n", " \n", " \n", " 37530\n", - " 0.108516\n", " True\n", + " 0.108516\n", " \n", " \n", "\n", "" ], "text/plain": [ - " low_information_score is_low_information_issue\n", - "53050 0.067975 True\n", - "40875 0.089929 True\n", - "9594 0.092601 True\n", - "34825 0.107744 True\n", - "37530 0.108516 True" + " is_low_information_issue low_information_score\n", + "53050 True 0.067975\n", + "40875 True 0.089929\n", + "9594 True 0.092601\n", + "34825 True 0.107744\n", + "37530 True 0.108516" ] }, "execution_count": 29, @@ -2481,10 +2455,10 @@ 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"_model_module_version": "2.0.0", - "_model_name": "ProgressStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", + "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_0aa95b525dfb4cffa6738016ec0a929b", + "placeholder": "​", + "style": "IPY_MODEL_49ab7db09aec442f81b7b02f32f3c3e2", + "tabbable": null, + "tooltip": null, + "value": " 40/40 [00:00<00:00, 67.72it/s]" } }, - "fc05ff5a0ae54291a9426f5f20ad91ad": { + "fcc4b333e4d94b5fb6798ba6bd9e0c37": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb index 9c866d7b7..0bf0d6c51 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb @@ -73,10 +73,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:57.997731Z", - "iopub.status.busy": "2024-04-12T10:22:57.997255Z", - "iopub.status.idle": "2024-04-12T10:22:59.063748Z", - "shell.execute_reply": "2024-04-12T10:22:59.063201Z" + "iopub.execute_input": "2024-04-22T21:51:31.046338Z", + "iopub.status.busy": "2024-04-22T21:51:31.046160Z", + "iopub.status.idle": "2024-04-22T21:51:32.130120Z", + "shell.execute_reply": "2024-04-22T21:51:32.129498Z" }, "nbsphinx": "hidden" }, @@ -86,7 +86,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -111,10 +111,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.066325Z", - "iopub.status.busy": "2024-04-12T10:22:59.065884Z", - "iopub.status.idle": "2024-04-12T10:22:59.084279Z", - "shell.execute_reply": "2024-04-12T10:22:59.083825Z" + "iopub.execute_input": "2024-04-22T21:51:32.132811Z", + "iopub.status.busy": "2024-04-22T21:51:32.132533Z", + "iopub.status.idle": "2024-04-22T21:51:32.151021Z", + "shell.execute_reply": "2024-04-22T21:51:32.150519Z" } }, "outputs": [], @@ -154,10 +154,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.086527Z", - "iopub.status.busy": "2024-04-12T10:22:59.086125Z", - "iopub.status.idle": "2024-04-12T10:22:59.109905Z", - "shell.execute_reply": "2024-04-12T10:22:59.109363Z" + "iopub.execute_input": "2024-04-22T21:51:32.153300Z", + "iopub.status.busy": "2024-04-22T21:51:32.153042Z", + "iopub.status.idle": "2024-04-22T21:51:32.178642Z", + "shell.execute_reply": "2024-04-22T21:51:32.178074Z" } }, "outputs": [ @@ -264,10 +264,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.111903Z", - "iopub.status.busy": "2024-04-12T10:22:59.111608Z", - "iopub.status.idle": "2024-04-12T10:22:59.115087Z", - "shell.execute_reply": "2024-04-12T10:22:59.114529Z" + "iopub.execute_input": "2024-04-22T21:51:32.180911Z", + "iopub.status.busy": "2024-04-22T21:51:32.180515Z", + "iopub.status.idle": "2024-04-22T21:51:32.184022Z", + "shell.execute_reply": "2024-04-22T21:51:32.183494Z" } }, "outputs": [], @@ -288,10 +288,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.117041Z", - "iopub.status.busy": "2024-04-12T10:22:59.116751Z", - "iopub.status.idle": "2024-04-12T10:22:59.124293Z", - "shell.execute_reply": "2024-04-12T10:22:59.123848Z" + "iopub.execute_input": "2024-04-22T21:51:32.186104Z", + "iopub.status.busy": "2024-04-22T21:51:32.185700Z", + "iopub.status.idle": "2024-04-22T21:51:32.193161Z", + "shell.execute_reply": "2024-04-22T21:51:32.192748Z" } }, "outputs": [], @@ -336,10 +336,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.126270Z", - "iopub.status.busy": "2024-04-12T10:22:59.125985Z", - "iopub.status.idle": "2024-04-12T10:22:59.128442Z", - "shell.execute_reply": "2024-04-12T10:22:59.127995Z" + "iopub.execute_input": "2024-04-22T21:51:32.195312Z", + "iopub.status.busy": "2024-04-22T21:51:32.194999Z", + "iopub.status.idle": "2024-04-22T21:51:32.197529Z", + "shell.execute_reply": "2024-04-22T21:51:32.197023Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.130352Z", - "iopub.status.busy": "2024-04-12T10:22:59.130078Z", - "iopub.status.idle": "2024-04-12T10:23:02.059472Z", - "shell.execute_reply": "2024-04-12T10:23:02.058929Z" + "iopub.execute_input": "2024-04-22T21:51:32.199435Z", + "iopub.status.busy": "2024-04-22T21:51:32.199150Z", + "iopub.status.idle": "2024-04-22T21:51:35.084395Z", + "shell.execute_reply": "2024-04-22T21:51:35.083840Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:02.061993Z", - "iopub.status.busy": "2024-04-12T10:23:02.061809Z", - "iopub.status.idle": "2024-04-12T10:23:02.070821Z", - "shell.execute_reply": "2024-04-12T10:23:02.070396Z" + "iopub.execute_input": "2024-04-22T21:51:35.087388Z", + "iopub.status.busy": "2024-04-22T21:51:35.086784Z", + "iopub.status.idle": "2024-04-22T21:51:35.096592Z", + "shell.execute_reply": "2024-04-22T21:51:35.096028Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:02.072681Z", - "iopub.status.busy": "2024-04-12T10:23:02.072514Z", - "iopub.status.idle": "2024-04-12T10:23:03.803507Z", - "shell.execute_reply": "2024-04-12T10:23:03.802722Z" + "iopub.execute_input": "2024-04-22T21:51:35.098855Z", + "iopub.status.busy": "2024-04-22T21:51:35.098545Z", + "iopub.status.idle": "2024-04-22T21:51:36.951372Z", + "shell.execute_reply": "2024-04-22T21:51:36.950764Z" } }, "outputs": [ @@ -484,10 +484,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.807731Z", - "iopub.status.busy": "2024-04-12T10:23:03.806582Z", - "iopub.status.idle": "2024-04-12T10:23:03.831029Z", - "shell.execute_reply": "2024-04-12T10:23:03.830544Z" + "iopub.execute_input": "2024-04-22T21:51:36.954832Z", + "iopub.status.busy": "2024-04-22T21:51:36.953651Z", + "iopub.status.idle": "2024-04-22T21:51:36.978757Z", + "shell.execute_reply": "2024-04-22T21:51:36.978237Z" }, "scrolled": true }, @@ -612,10 +612,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.834532Z", - "iopub.status.busy": "2024-04-12T10:23:03.833614Z", - "iopub.status.idle": "2024-04-12T10:23:03.844635Z", - "shell.execute_reply": "2024-04-12T10:23:03.844136Z" + "iopub.execute_input": "2024-04-22T21:51:36.982500Z", + "iopub.status.busy": "2024-04-22T21:51:36.981541Z", + "iopub.status.idle": "2024-04-22T21:51:36.993046Z", + "shell.execute_reply": "2024-04-22T21:51:36.992546Z" } }, "outputs": [ @@ -719,10 +719,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.848084Z", - "iopub.status.busy": "2024-04-12T10:23:03.847167Z", - "iopub.status.idle": "2024-04-12T10:23:03.859666Z", - "shell.execute_reply": "2024-04-12T10:23:03.859174Z" + "iopub.execute_input": "2024-04-22T21:51:36.996643Z", + "iopub.status.busy": "2024-04-22T21:51:36.995720Z", + "iopub.status.idle": "2024-04-22T21:51:37.023004Z", + "shell.execute_reply": "2024-04-22T21:51:37.022451Z" } }, "outputs": [ @@ -851,10 +851,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.863155Z", - "iopub.status.busy": "2024-04-12T10:23:03.862233Z", - "iopub.status.idle": "2024-04-12T10:23:03.873268Z", - "shell.execute_reply": "2024-04-12T10:23:03.872780Z" + "iopub.execute_input": "2024-04-22T21:51:37.026730Z", + "iopub.status.busy": "2024-04-22T21:51:37.025808Z", + "iopub.status.idle": "2024-04-22T21:51:37.036398Z", + "shell.execute_reply": "2024-04-22T21:51:37.035969Z" } }, "outputs": [ @@ -968,10 +968,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.876729Z", - "iopub.status.busy": "2024-04-12T10:23:03.875798Z", - "iopub.status.idle": "2024-04-12T10:23:03.887403Z", - "shell.execute_reply": "2024-04-12T10:23:03.886965Z" + "iopub.execute_input": "2024-04-22T21:51:37.038786Z", + "iopub.status.busy": "2024-04-22T21:51:37.038383Z", + "iopub.status.idle": "2024-04-22T21:51:37.047559Z", + "shell.execute_reply": "2024-04-22T21:51:37.047025Z" } }, "outputs": [ @@ -1082,10 +1082,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.889683Z", - "iopub.status.busy": "2024-04-12T10:23:03.889167Z", - "iopub.status.idle": "2024-04-12T10:23:03.895719Z", - "shell.execute_reply": "2024-04-12T10:23:03.895310Z" + "iopub.execute_input": "2024-04-22T21:51:37.049653Z", + "iopub.status.busy": "2024-04-22T21:51:37.049474Z", + "iopub.status.idle": "2024-04-22T21:51:37.055941Z", + "shell.execute_reply": "2024-04-22T21:51:37.055355Z" } }, "outputs": [ @@ -1169,10 +1169,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.898036Z", - "iopub.status.busy": "2024-04-12T10:23:03.897526Z", - "iopub.status.idle": "2024-04-12T10:23:03.904252Z", - "shell.execute_reply": "2024-04-12T10:23:03.903696Z" + "iopub.execute_input": "2024-04-22T21:51:37.058225Z", + "iopub.status.busy": "2024-04-22T21:51:37.058039Z", + "iopub.status.idle": "2024-04-22T21:51:37.065083Z", + "shell.execute_reply": "2024-04-22T21:51:37.064535Z" } }, "outputs": [ @@ -1265,10 +1265,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.906352Z", - "iopub.status.busy": "2024-04-12T10:23:03.906014Z", - "iopub.status.idle": "2024-04-12T10:23:03.912600Z", - "shell.execute_reply": "2024-04-12T10:23:03.912048Z" + "iopub.execute_input": "2024-04-22T21:51:37.067163Z", + "iopub.status.busy": "2024-04-22T21:51:37.066986Z", + "iopub.status.idle": "2024-04-22T21:51:37.073953Z", + "shell.execute_reply": "2024-04-22T21:51:37.073376Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb index b55034951..84611b9e5 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb @@ -75,10 +75,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:06.427281Z", - "iopub.status.busy": "2024-04-12T10:23:06.426876Z", - "iopub.status.idle": "2024-04-12T10:23:09.029755Z", - "shell.execute_reply": "2024-04-12T10:23:09.029118Z" + "iopub.execute_input": "2024-04-22T21:51:40.356739Z", + "iopub.status.busy": "2024-04-22T21:51:40.356256Z", + "iopub.status.idle": "2024-04-22T21:51:43.003980Z", + "shell.execute_reply": "2024-04-22T21:51:43.003360Z" }, "nbsphinx": "hidden" }, @@ -96,7 +96,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -121,10 +121,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.032515Z", - "iopub.status.busy": "2024-04-12T10:23:09.032053Z", - "iopub.status.idle": "2024-04-12T10:23:09.035184Z", - "shell.execute_reply": "2024-04-12T10:23:09.034737Z" + "iopub.execute_input": "2024-04-22T21:51:43.006901Z", + "iopub.status.busy": "2024-04-22T21:51:43.006321Z", + "iopub.status.idle": "2024-04-22T21:51:43.009750Z", + "shell.execute_reply": "2024-04-22T21:51:43.009204Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.037235Z", - "iopub.status.busy": "2024-04-12T10:23:09.036820Z", - "iopub.status.idle": "2024-04-12T10:23:09.039983Z", - "shell.execute_reply": "2024-04-12T10:23:09.039423Z" + "iopub.execute_input": "2024-04-22T21:51:43.012098Z", + "iopub.status.busy": "2024-04-22T21:51:43.011690Z", + "iopub.status.idle": "2024-04-22T21:51:43.014667Z", + "shell.execute_reply": "2024-04-22T21:51:43.014245Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.042101Z", - "iopub.status.busy": "2024-04-12T10:23:09.041777Z", - "iopub.status.idle": "2024-04-12T10:23:09.064754Z", - "shell.execute_reply": "2024-04-12T10:23:09.064284Z" + "iopub.execute_input": "2024-04-22T21:51:43.016549Z", + "iopub.status.busy": "2024-04-22T21:51:43.016288Z", + "iopub.status.idle": "2024-04-22T21:51:43.164680Z", + "shell.execute_reply": "2024-04-22T21:51:43.164123Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.066706Z", - "iopub.status.busy": "2024-04-12T10:23:09.066381Z", - "iopub.status.idle": "2024-04-12T10:23:09.070154Z", - "shell.execute_reply": "2024-04-12T10:23:09.069708Z" + "iopub.execute_input": "2024-04-22T21:51:43.167167Z", + "iopub.status.busy": "2024-04-22T21:51:43.166656Z", + "iopub.status.idle": "2024-04-22T21:51:43.170586Z", + "shell.execute_reply": "2024-04-22T21:51:43.170050Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'getting_spare_card', 'cancel_transfer', 'card_about_to_expire', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'change_pin', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'apple_pay_or_google_pay'}\n" + "Classes: {'change_pin', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'getting_spare_card', 'visa_or_mastercard', 'card_about_to_expire', 'beneficiary_not_allowed', 'apple_pay_or_google_pay', 'supported_cards_and_currencies'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.072131Z", - "iopub.status.busy": "2024-04-12T10:23:09.071798Z", - "iopub.status.idle": "2024-04-12T10:23:09.075011Z", - "shell.execute_reply": "2024-04-12T10:23:09.074552Z" + "iopub.execute_input": "2024-04-22T21:51:43.172537Z", + "iopub.status.busy": "2024-04-22T21:51:43.172236Z", + "iopub.status.idle": "2024-04-22T21:51:43.175306Z", + "shell.execute_reply": "2024-04-22T21:51:43.174758Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.077022Z", - "iopub.status.busy": "2024-04-12T10:23:09.076701Z", - "iopub.status.idle": "2024-04-12T10:23:13.269837Z", - "shell.execute_reply": "2024-04-12T10:23:13.269288Z" + "iopub.execute_input": "2024-04-22T21:51:43.177262Z", + "iopub.status.busy": "2024-04-22T21:51:43.176962Z", + "iopub.status.idle": "2024-04-22T21:51:47.253572Z", + "shell.execute_reply": "2024-04-22T21:51:47.253008Z" } }, "outputs": [ @@ -424,10 +424,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:13.272512Z", - "iopub.status.busy": "2024-04-12T10:23:13.272302Z", - "iopub.status.idle": "2024-04-12T10:23:14.153647Z", - "shell.execute_reply": "2024-04-12T10:23:14.153063Z" + "iopub.execute_input": "2024-04-22T21:51:47.256521Z", + "iopub.status.busy": "2024-04-22T21:51:47.256105Z", + "iopub.status.idle": "2024-04-22T21:51:48.108153Z", + "shell.execute_reply": "2024-04-22T21:51:48.107582Z" }, "scrolled": true }, @@ -459,10 +459,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:14.156542Z", - "iopub.status.busy": "2024-04-12T10:23:14.156130Z", - "iopub.status.idle": "2024-04-12T10:23:14.159362Z", - "shell.execute_reply": "2024-04-12T10:23:14.158865Z" + "iopub.execute_input": "2024-04-22T21:51:48.111105Z", + "iopub.status.busy": "2024-04-22T21:51:48.110712Z", + "iopub.status.idle": "2024-04-22T21:51:48.113583Z", + "shell.execute_reply": "2024-04-22T21:51:48.113099Z" } }, "outputs": [], @@ -482,10 +482,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:14.162610Z", - "iopub.status.busy": "2024-04-12T10:23:14.161641Z", - "iopub.status.idle": "2024-04-12T10:23:15.689534Z", - "shell.execute_reply": "2024-04-12T10:23:15.687575Z" + "iopub.execute_input": "2024-04-22T21:51:48.116742Z", + "iopub.status.busy": "2024-04-22T21:51:48.115793Z", + "iopub.status.idle": "2024-04-22T21:51:49.663168Z", + "shell.execute_reply": "2024-04-22T21:51:49.662488Z" }, "scrolled": true }, @@ -538,10 +538,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.693551Z", - "iopub.status.busy": "2024-04-12T10:23:15.692383Z", - "iopub.status.idle": "2024-04-12T10:23:15.717902Z", - "shell.execute_reply": "2024-04-12T10:23:15.717395Z" + "iopub.execute_input": "2024-04-22T21:51:49.667351Z", + "iopub.status.busy": "2024-04-22T21:51:49.666183Z", + "iopub.status.idle": "2024-04-22T21:51:49.691256Z", + "shell.execute_reply": "2024-04-22T21:51:49.690748Z" }, "scrolled": true }, @@ -666,10 +666,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.721520Z", - "iopub.status.busy": "2024-04-12T10:23:15.720546Z", - "iopub.status.idle": "2024-04-12T10:23:15.732153Z", - "shell.execute_reply": "2024-04-12T10:23:15.731651Z" + "iopub.execute_input": "2024-04-22T21:51:49.694730Z", + "iopub.status.busy": "2024-04-22T21:51:49.693805Z", + "iopub.status.idle": "2024-04-22T21:51:49.705308Z", + "shell.execute_reply": "2024-04-22T21:51:49.704807Z" }, "scrolled": true }, @@ -779,10 +779,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.735681Z", - "iopub.status.busy": "2024-04-12T10:23:15.734758Z", - "iopub.status.idle": "2024-04-12T10:23:15.741347Z", - "shell.execute_reply": "2024-04-12T10:23:15.740783Z" + "iopub.execute_input": "2024-04-22T21:51:49.710635Z", + "iopub.status.busy": "2024-04-22T21:51:49.709458Z", + "iopub.status.idle": "2024-04-22T21:51:49.715631Z", + "shell.execute_reply": "2024-04-22T21:51:49.715222Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.743462Z", - "iopub.status.busy": "2024-04-12T10:23:15.743290Z", - "iopub.status.idle": "2024-04-12T10:23:15.750020Z", - "shell.execute_reply": "2024-04-12T10:23:15.749588Z" + "iopub.execute_input": "2024-04-22T21:51:49.718319Z", + "iopub.status.busy": "2024-04-22T21:51:49.717604Z", + "iopub.status.idle": "2024-04-22T21:51:49.724490Z", + "shell.execute_reply": "2024-04-22T21:51:49.724033Z" } }, "outputs": [ @@ -940,10 +940,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.751951Z", - "iopub.status.busy": "2024-04-12T10:23:15.751778Z", - "iopub.status.idle": "2024-04-12T10:23:15.759504Z", - "shell.execute_reply": "2024-04-12T10:23:15.758962Z" + "iopub.execute_input": "2024-04-22T21:51:49.726556Z", + "iopub.status.busy": "2024-04-22T21:51:49.726166Z", + "iopub.status.idle": "2024-04-22T21:51:49.733655Z", + "shell.execute_reply": "2024-04-22T21:51:49.733128Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.761525Z", - "iopub.status.busy": "2024-04-12T10:23:15.761228Z", - "iopub.status.idle": "2024-04-12T10:23:15.766791Z", - "shell.execute_reply": "2024-04-12T10:23:15.766345Z" + "iopub.execute_input": "2024-04-22T21:51:49.735666Z", + "iopub.status.busy": "2024-04-22T21:51:49.735340Z", + "iopub.status.idle": "2024-04-22T21:51:49.740979Z", + "shell.execute_reply": "2024-04-22T21:51:49.740540Z" } }, "outputs": [ @@ -1137,10 +1137,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.768741Z", - "iopub.status.busy": "2024-04-12T10:23:15.768567Z", - "iopub.status.idle": "2024-04-12T10:23:15.776936Z", - "shell.execute_reply": "2024-04-12T10:23:15.776363Z" + "iopub.execute_input": "2024-04-22T21:51:49.742755Z", + "iopub.status.busy": "2024-04-22T21:51:49.742591Z", + "iopub.status.idle": "2024-04-22T21:51:49.750544Z", + "shell.execute_reply": "2024-04-22T21:51:49.750120Z" } }, "outputs": [ @@ -1251,10 +1251,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.778954Z", - "iopub.status.busy": "2024-04-12T10:23:15.778634Z", - "iopub.status.idle": "2024-04-12T10:23:15.783810Z", - "shell.execute_reply": "2024-04-12T10:23:15.783326Z" + "iopub.execute_input": "2024-04-22T21:51:49.752328Z", + "iopub.status.busy": "2024-04-22T21:51:49.752159Z", + "iopub.status.idle": "2024-04-22T21:51:49.757501Z", + "shell.execute_reply": "2024-04-22T21:51:49.756971Z" } }, "outputs": [ @@ -1322,10 +1322,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.785946Z", - "iopub.status.busy": "2024-04-12T10:23:15.785523Z", - "iopub.status.idle": "2024-04-12T10:23:15.790899Z", - "shell.execute_reply": "2024-04-12T10:23:15.790347Z" + "iopub.execute_input": "2024-04-22T21:51:49.759333Z", + "iopub.status.busy": "2024-04-22T21:51:49.759164Z", + "iopub.status.idle": "2024-04-22T21:51:49.764568Z", + "shell.execute_reply": "2024-04-22T21:51:49.764142Z" } }, "outputs": [ @@ -1404,10 +1404,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.792909Z", - "iopub.status.busy": "2024-04-12T10:23:15.792605Z", - "iopub.status.idle": "2024-04-12T10:23:15.796003Z", - "shell.execute_reply": "2024-04-12T10:23:15.795537Z" + "iopub.execute_input": "2024-04-22T21:51:49.766407Z", + "iopub.status.busy": "2024-04-22T21:51:49.766239Z", + "iopub.status.idle": "2024-04-22T21:51:49.769764Z", + "shell.execute_reply": "2024-04-22T21:51:49.769227Z" } }, "outputs": [ @@ -1455,10 +1455,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.798137Z", - "iopub.status.busy": "2024-04-12T10:23:15.797742Z", - "iopub.status.idle": "2024-04-12T10:23:15.802907Z", - "shell.execute_reply": "2024-04-12T10:23:15.802434Z" + "iopub.execute_input": "2024-04-22T21:51:49.771840Z", + "iopub.status.busy": "2024-04-22T21:51:49.771518Z", + "iopub.status.idle": "2024-04-22T21:51:49.776457Z", + "shell.execute_reply": "2024-04-22T21:51:49.775959Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb index 9c7bad222..a9c040801 100644 --- a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb @@ -70,10 +70,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:18.919581Z", - "iopub.status.busy": "2024-04-12T10:23:18.919116Z", - "iopub.status.idle": "2024-04-12T10:23:19.982813Z", - "shell.execute_reply": "2024-04-12T10:23:19.982259Z" + "iopub.execute_input": "2024-04-22T21:51:52.984100Z", + "iopub.status.busy": "2024-04-22T21:51:52.983929Z", + "iopub.status.idle": "2024-04-22T21:51:54.076611Z", + "shell.execute_reply": "2024-04-22T21:51:54.075985Z" }, "nbsphinx": "hidden" }, @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -110,10 +110,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:19.985182Z", - "iopub.status.busy": "2024-04-12T10:23:19.984917Z", - "iopub.status.idle": "2024-04-12T10:23:19.987785Z", - "shell.execute_reply": "2024-04-12T10:23:19.987341Z" + "iopub.execute_input": "2024-04-22T21:51:54.079479Z", + "iopub.status.busy": "2024-04-22T21:51:54.079017Z", + "iopub.status.idle": "2024-04-22T21:51:54.082330Z", + "shell.execute_reply": "2024-04-22T21:51:54.081913Z" }, "id": "_UvI80l42iyi" }, @@ -203,10 +203,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:19.989851Z", - "iopub.status.busy": "2024-04-12T10:23:19.989685Z", - "iopub.status.idle": "2024-04-12T10:23:20.001529Z", - "shell.execute_reply": "2024-04-12T10:23:20.000980Z" + "iopub.execute_input": "2024-04-22T21:51:54.084483Z", + "iopub.status.busy": "2024-04-22T21:51:54.084311Z", + "iopub.status.idle": "2024-04-22T21:51:54.096267Z", + "shell.execute_reply": "2024-04-22T21:51:54.095730Z" }, "nbsphinx": "hidden" }, @@ -285,10 +285,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:20.003383Z", - "iopub.status.busy": "2024-04-12T10:23:20.003212Z", - "iopub.status.idle": "2024-04-12T10:23:26.272462Z", - "shell.execute_reply": "2024-04-12T10:23:26.271987Z" + "iopub.execute_input": "2024-04-22T21:51:54.098313Z", + "iopub.status.busy": "2024-04-22T21:51:54.098000Z", + "iopub.status.idle": "2024-04-22T21:51:58.808852Z", + "shell.execute_reply": "2024-04-22T21:51:58.808391Z" }, "id": "dhTHOg8Pyv5G" }, diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb index 565ea8e49..169c6130f 100644 --- a/master/.doctrees/nbsphinx/tutorials/faq.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:28.176499Z", - "iopub.status.busy": "2024-04-12T10:23:28.176334Z", - "iopub.status.idle": "2024-04-12T10:23:29.247412Z", - "shell.execute_reply": "2024-04-12T10:23:29.246865Z" + "iopub.execute_input": "2024-04-22T21:52:00.971289Z", + "iopub.status.busy": "2024-04-22T21:52:00.971117Z", + "iopub.status.idle": "2024-04-22T21:52:02.051392Z", + "shell.execute_reply": "2024-04-22T21:52:02.050807Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:29.250183Z", - "iopub.status.busy": "2024-04-12T10:23:29.249745Z", - "iopub.status.idle": "2024-04-12T10:23:29.253136Z", - "shell.execute_reply": "2024-04-12T10:23:29.252676Z" + "iopub.execute_input": "2024-04-22T21:52:02.054107Z", + "iopub.status.busy": "2024-04-22T21:52:02.053656Z", + "iopub.status.idle": "2024-04-22T21:52:02.056979Z", + "shell.execute_reply": "2024-04-22T21:52:02.056523Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:29.255179Z", - "iopub.status.busy": "2024-04-12T10:23:29.254869Z", - "iopub.status.idle": "2024-04-12T10:23:32.165763Z", - "shell.execute_reply": "2024-04-12T10:23:32.165053Z" + "iopub.execute_input": "2024-04-22T21:52:02.059458Z", + "iopub.status.busy": "2024-04-22T21:52:02.059133Z", + "iopub.status.idle": "2024-04-22T21:52:05.038204Z", + "shell.execute_reply": "2024-04-22T21:52:05.037490Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.169073Z", - "iopub.status.busy": "2024-04-12T10:23:32.168350Z", - "iopub.status.idle": "2024-04-12T10:23:32.199721Z", - "shell.execute_reply": "2024-04-12T10:23:32.199154Z" + "iopub.execute_input": "2024-04-22T21:52:05.041290Z", + "iopub.status.busy": "2024-04-22T21:52:05.040716Z", + "iopub.status.idle": "2024-04-22T21:52:05.073377Z", + "shell.execute_reply": "2024-04-22T21:52:05.072787Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.202215Z", - "iopub.status.busy": "2024-04-12T10:23:32.201908Z", - "iopub.status.idle": "2024-04-12T10:23:32.229886Z", - "shell.execute_reply": "2024-04-12T10:23:32.229319Z" + "iopub.execute_input": "2024-04-22T21:52:05.076249Z", + "iopub.status.busy": "2024-04-22T21:52:05.075864Z", + "iopub.status.idle": "2024-04-22T21:52:05.106541Z", + "shell.execute_reply": "2024-04-22T21:52:05.105942Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.232504Z", - "iopub.status.busy": "2024-04-12T10:23:32.232096Z", - "iopub.status.idle": "2024-04-12T10:23:32.235155Z", - "shell.execute_reply": "2024-04-12T10:23:32.234684Z" + "iopub.execute_input": "2024-04-22T21:52:05.109149Z", + "iopub.status.busy": "2024-04-22T21:52:05.108865Z", + "iopub.status.idle": "2024-04-22T21:52:05.112065Z", + "shell.execute_reply": "2024-04-22T21:52:05.111595Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.237101Z", - "iopub.status.busy": "2024-04-12T10:23:32.236919Z", - "iopub.status.idle": "2024-04-12T10:23:32.239601Z", - "shell.execute_reply": "2024-04-12T10:23:32.239154Z" + "iopub.execute_input": "2024-04-22T21:52:05.114140Z", + "iopub.status.busy": "2024-04-22T21:52:05.113763Z", + "iopub.status.idle": "2024-04-22T21:52:05.116341Z", + "shell.execute_reply": "2024-04-22T21:52:05.115903Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.241598Z", - "iopub.status.busy": "2024-04-12T10:23:32.241420Z", - "iopub.status.idle": "2024-04-12T10:23:32.264434Z", - "shell.execute_reply": "2024-04-12T10:23:32.263866Z" + "iopub.execute_input": "2024-04-22T21:52:05.118435Z", + "iopub.status.busy": "2024-04-22T21:52:05.118123Z", + "iopub.status.idle": "2024-04-22T21:52:05.141692Z", + "shell.execute_reply": "2024-04-22T21:52:05.141143Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8c260bc1ea9743258848135604c9cd07", + "model_id": "0d01affcfd654e91bc4b3c12c4753ece", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "28e7b0cb6a8747838aa5a5c29c2d207f", + "model_id": "ecfa98554fac42d4b9d44a61144d1967", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.271267Z", - "iopub.status.busy": "2024-04-12T10:23:32.270917Z", - "iopub.status.idle": "2024-04-12T10:23:32.277479Z", - "shell.execute_reply": "2024-04-12T10:23:32.277056Z" + "iopub.execute_input": "2024-04-22T21:52:05.148575Z", + "iopub.status.busy": "2024-04-22T21:52:05.148402Z", + "iopub.status.idle": "2024-04-22T21:52:05.155067Z", + "shell.execute_reply": "2024-04-22T21:52:05.154509Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.279542Z", - "iopub.status.busy": "2024-04-12T10:23:32.279203Z", - "iopub.status.idle": "2024-04-12T10:23:32.282672Z", - "shell.execute_reply": "2024-04-12T10:23:32.282212Z" + "iopub.execute_input": "2024-04-22T21:52:05.157280Z", + "iopub.status.busy": "2024-04-22T21:52:05.156882Z", + "iopub.status.idle": "2024-04-22T21:52:05.160426Z", + "shell.execute_reply": "2024-04-22T21:52:05.159903Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.284674Z", - "iopub.status.busy": "2024-04-12T10:23:32.284288Z", - "iopub.status.idle": "2024-04-12T10:23:32.290577Z", - "shell.execute_reply": "2024-04-12T10:23:32.290040Z" + "iopub.execute_input": "2024-04-22T21:52:05.162479Z", + "iopub.status.busy": "2024-04-22T21:52:05.162048Z", + "iopub.status.idle": "2024-04-22T21:52:05.168341Z", + "shell.execute_reply": "2024-04-22T21:52:05.167863Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.292646Z", - "iopub.status.busy": "2024-04-12T10:23:32.292223Z", - "iopub.status.idle": "2024-04-12T10:23:32.324821Z", - "shell.execute_reply": "2024-04-12T10:23:32.324229Z" + "iopub.execute_input": "2024-04-22T21:52:05.170357Z", + "iopub.status.busy": "2024-04-22T21:52:05.169970Z", + "iopub.status.idle": "2024-04-22T21:52:05.206396Z", + "shell.execute_reply": "2024-04-22T21:52:05.205710Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.327334Z", - "iopub.status.busy": "2024-04-12T10:23:32.327095Z", - "iopub.status.idle": "2024-04-12T10:23:32.356377Z", - "shell.execute_reply": "2024-04-12T10:23:32.355672Z" + "iopub.execute_input": "2024-04-22T21:52:05.209421Z", + "iopub.status.busy": "2024-04-22T21:52:05.209118Z", + "iopub.status.idle": "2024-04-22T21:52:05.246322Z", + "shell.execute_reply": "2024-04-22T21:52:05.245738Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.359293Z", - "iopub.status.busy": "2024-04-12T10:23:32.358854Z", - "iopub.status.idle": "2024-04-12T10:23:32.476300Z", - "shell.execute_reply": "2024-04-12T10:23:32.475620Z" + "iopub.execute_input": "2024-04-22T21:52:05.249675Z", + "iopub.status.busy": "2024-04-22T21:52:05.249165Z", + "iopub.status.idle": "2024-04-22T21:52:05.367206Z", + "shell.execute_reply": "2024-04-22T21:52:05.366597Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.479308Z", - "iopub.status.busy": "2024-04-12T10:23:32.478540Z", - "iopub.status.idle": "2024-04-12T10:23:35.512512Z", - "shell.execute_reply": "2024-04-12T10:23:35.511934Z" + "iopub.execute_input": "2024-04-22T21:52:05.370149Z", + "iopub.status.busy": "2024-04-22T21:52:05.369388Z", + "iopub.status.idle": "2024-04-22T21:52:08.425820Z", + "shell.execute_reply": "2024-04-22T21:52:08.425236Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.514767Z", - "iopub.status.busy": "2024-04-12T10:23:35.514559Z", - "iopub.status.idle": "2024-04-12T10:23:35.569433Z", - "shell.execute_reply": "2024-04-12T10:23:35.568850Z" + "iopub.execute_input": "2024-04-22T21:52:08.428334Z", + "iopub.status.busy": "2024-04-22T21:52:08.427969Z", + "iopub.status.idle": "2024-04-22T21:52:08.484464Z", + "shell.execute_reply": "2024-04-22T21:52:08.483898Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.571859Z", - "iopub.status.busy": "2024-04-12T10:23:35.571454Z", - "iopub.status.idle": "2024-04-12T10:23:35.609363Z", - "shell.execute_reply": "2024-04-12T10:23:35.608783Z" + "iopub.execute_input": "2024-04-22T21:52:08.486528Z", + "iopub.status.busy": "2024-04-22T21:52:08.486195Z", + "iopub.status.idle": "2024-04-22T21:52:08.524318Z", + "shell.execute_reply": "2024-04-22T21:52:08.523834Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "9b42ee36", + "id": "c8f17b20", "metadata": {}, "source": [ "### How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?" @@ -1327,7 +1327,7 @@ }, { "cell_type": "markdown", - "id": "3d4d1251", + "id": "14004008", "metadata": {}, "source": [ "When detecting underperforming groups in a dataset, Datalab provides the option for passing pre-computed\n", @@ -1340,13 +1340,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "87bb2a34", + "id": "8d2a1e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.611896Z", - "iopub.status.busy": "2024-04-12T10:23:35.611457Z", - "iopub.status.idle": "2024-04-12T10:23:35.711759Z", - "shell.execute_reply": "2024-04-12T10:23:35.711251Z" + "iopub.execute_input": "2024-04-22T21:52:08.526275Z", + "iopub.status.busy": "2024-04-22T21:52:08.526097Z", + "iopub.status.idle": "2024-04-22T21:52:08.639122Z", + "shell.execute_reply": "2024-04-22T21:52:08.638496Z" } }, "outputs": [ @@ -1354,7 +1354,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding underperforming_group issues ...\n", + "Finding underperforming_group issues ...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "Audit complete. 0 issues found in the dataset.\n" ] @@ -1387,7 +1393,7 @@ }, { "cell_type": "markdown", - "id": "3a4977d0", + "id": "a9e1ae90", "metadata": {}, "source": [ "For a tabular dataset, you can alternatively use a categorical column's values as cluster IDs:" @@ -1396,13 +1402,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "0e8e3e4a", + "id": "744edcb3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.714369Z", - "iopub.status.busy": "2024-04-12T10:23:35.714073Z", - "iopub.status.idle": "2024-04-12T10:23:35.790798Z", - "shell.execute_reply": "2024-04-12T10:23:35.790269Z" + "iopub.execute_input": "2024-04-22T21:52:08.641537Z", + "iopub.status.busy": "2024-04-22T21:52:08.641290Z", + "iopub.status.idle": "2024-04-22T21:52:08.710633Z", + "shell.execute_reply": "2024-04-22T21:52:08.710104Z" } }, "outputs": [ @@ -1410,13 +1416,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding underperforming_group issues ...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Finding underperforming_group issues ...\n", "\n", "Audit complete. 0 issues found in the dataset.\n" ] @@ -1444,7 +1444,7 @@ }, { "cell_type": "markdown", - "id": "12960534", + "id": "b66f3ef5", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1455,13 +1455,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "89353571", + "id": "201e836f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.793275Z", - "iopub.status.busy": "2024-04-12T10:23:35.792931Z", - "iopub.status.idle": "2024-04-12T10:23:35.800499Z", - "shell.execute_reply": "2024-04-12T10:23:35.799927Z" + "iopub.execute_input": "2024-04-22T21:52:08.712864Z", + "iopub.status.busy": "2024-04-22T21:52:08.712685Z", + "iopub.status.idle": "2024-04-22T21:52:08.720218Z", + "shell.execute_reply": "2024-04-22T21:52:08.719681Z" } }, "outputs": [], @@ -1563,7 +1563,7 @@ }, { "cell_type": "markdown", - "id": "59b8a427", + "id": "85fd0060", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1578,13 +1578,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "33839777", + "id": "b2725995", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.802402Z", - "iopub.status.busy": "2024-04-12T10:23:35.802236Z", - "iopub.status.idle": "2024-04-12T10:23:35.819623Z", - "shell.execute_reply": "2024-04-12T10:23:35.819070Z" + "iopub.execute_input": "2024-04-22T21:52:08.722126Z", + "iopub.status.busy": "2024-04-22T21:52:08.721960Z", + "iopub.status.idle": "2024-04-22T21:52:08.741958Z", + "shell.execute_reply": "2024-04-22T21:52:08.741363Z" } }, "outputs": [ @@ -1601,7 +1601,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7808/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + "/tmp/ipykernel_7754/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", " to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values\n" ] } @@ -1635,13 +1635,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "8798fb52", + "id": "76ef1b38", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.821505Z", - "iopub.status.busy": "2024-04-12T10:23:35.821336Z", - "iopub.status.idle": "2024-04-12T10:23:35.824669Z", - "shell.execute_reply": "2024-04-12T10:23:35.824191Z" + "iopub.execute_input": "2024-04-22T21:52:08.744017Z", + "iopub.status.busy": "2024-04-22T21:52:08.743671Z", + "iopub.status.idle": "2024-04-22T21:52:08.747029Z", + "shell.execute_reply": "2024-04-22T21:52:08.746472Z" } }, "outputs": [ @@ -1736,23 +1736,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0a7860f5b87a46e4819fea6653dd9061": { - "model_module": "@jupyter-widgets/controls", - 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"_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_2861e639a9be4f5595f57a3ee1d56a3c", + "max": 50.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_1a77cc19f1bb4cd48ffe9b0ccbe9e37c", + "tabbable": null, + "tooltip": null, + "value": 50.0 } }, - "ddb85543e31e4fcfafa7b15ad5422d3b": { + "b38d401f29ce450ca6857d1b7ef72d37": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2380,7 +2294,7 @@ "width": null } }, - "e8cbb81e49284b308740a345fbe93891": { + "b799590b527047acb2919c345b85074e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -2395,15 +2309,15 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_7b22deeb983f4425b4bbcd3fbb2862a4", + "layout": "IPY_MODEL_ab19415e02fe4fa38b47b69c987798f3", "placeholder": "​", - "style": "IPY_MODEL_2504522320e44c048af1ae4ab8898d64", + "style": "IPY_MODEL_e6cd35d0225f4dca9566f56280f4abd1", "tabbable": null, "tooltip": null, - "value": " 10000/? [00:00<00:00, 1539872.24it/s]" + "value": " 10000/? [00:00<00:00, 1555116.24it/s]" } }, - "efe1c309040647cdbe04b81dd7016fec": { + "c1141852bf9c4c0583555090a921c356": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2455,6 +2369,92 @@ "visibility": null, "width": null } + }, + "c7893fa914f5433bac6dad87821e0d8f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "e6cd35d0225f4dca9566f56280f4abd1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "ecfa98554fac42d4b9d44a61144d1967": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_6d38458374ea47cbbdc8c7448393bb68", + "IPY_MODEL_ff0836e3efe8493c95bceed8e5f03110", + "IPY_MODEL_b799590b527047acb2919c345b85074e" + ], + "layout": "IPY_MODEL_4a8db3753f104acf97c64c947eb6fe8c", + "tabbable": null, + "tooltip": null + } + }, + "ff0836e3efe8493c95bceed8e5f03110": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_b38d401f29ce450ca6857d1b7ef72d37", + "max": 50.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_45da024dc7e5474da2edd2b331e98641", + "tabbable": null, + "tooltip": null, + "value": 50.0 + } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb index 9825cccbd..ee9e0524b 100644 --- a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb @@ -53,10 +53,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:38.980369Z", - "iopub.status.busy": "2024-04-12T10:23:38.979963Z", - "iopub.status.idle": "2024-04-12T10:23:40.114205Z", - "shell.execute_reply": "2024-04-12T10:23:40.113605Z" + "iopub.execute_input": "2024-04-22T21:52:11.830493Z", + "iopub.status.busy": "2024-04-22T21:52:11.830091Z", + "iopub.status.idle": "2024-04-22T21:52:12.956551Z", + "shell.execute_reply": "2024-04-22T21:52:12.955935Z" }, "nbsphinx": "hidden" }, @@ -68,7 +68,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -95,10 +95,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.116704Z", - "iopub.status.busy": "2024-04-12T10:23:40.116446Z", - "iopub.status.idle": "2024-04-12T10:23:40.292321Z", - "shell.execute_reply": "2024-04-12T10:23:40.291818Z" + "iopub.execute_input": "2024-04-22T21:52:12.959088Z", + "iopub.status.busy": "2024-04-22T21:52:12.958772Z", + "iopub.status.idle": "2024-04-22T21:52:13.136515Z", + "shell.execute_reply": "2024-04-22T21:52:13.136003Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.294919Z", - "iopub.status.busy": "2024-04-12T10:23:40.294476Z", - "iopub.status.idle": "2024-04-12T10:23:40.306878Z", - "shell.execute_reply": "2024-04-12T10:23:40.306355Z" + "iopub.execute_input": "2024-04-22T21:52:13.139088Z", + "iopub.status.busy": "2024-04-22T21:52:13.138714Z", + "iopub.status.idle": "2024-04-22T21:52:13.150951Z", + "shell.execute_reply": "2024-04-22T21:52:13.150351Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.309026Z", - "iopub.status.busy": "2024-04-12T10:23:40.308721Z", - "iopub.status.idle": "2024-04-12T10:23:40.515012Z", - "shell.execute_reply": "2024-04-12T10:23:40.514466Z" + "iopub.execute_input": "2024-04-22T21:52:13.153342Z", + "iopub.status.busy": "2024-04-22T21:52:13.153000Z", + "iopub.status.idle": "2024-04-22T21:52:13.385524Z", + "shell.execute_reply": "2024-04-22T21:52:13.384918Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.517380Z", - "iopub.status.busy": "2024-04-12T10:23:40.517039Z", - "iopub.status.idle": "2024-04-12T10:23:40.543276Z", - "shell.execute_reply": "2024-04-12T10:23:40.542696Z" + "iopub.execute_input": "2024-04-22T21:52:13.388001Z", + "iopub.status.busy": "2024-04-22T21:52:13.387664Z", + "iopub.status.idle": "2024-04-22T21:52:13.413891Z", + "shell.execute_reply": "2024-04-22T21:52:13.413406Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.545521Z", - "iopub.status.busy": "2024-04-12T10:23:40.545217Z", - "iopub.status.idle": "2024-04-12T10:23:42.188216Z", - "shell.execute_reply": "2024-04-12T10:23:42.187564Z" + "iopub.execute_input": "2024-04-22T21:52:13.416344Z", + "iopub.status.busy": "2024-04-22T21:52:13.415900Z", + "iopub.status.idle": "2024-04-22T21:52:15.058789Z", + "shell.execute_reply": "2024-04-22T21:52:15.058131Z" } }, "outputs": [ @@ -483,10 +483,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:42.190670Z", - "iopub.status.busy": "2024-04-12T10:23:42.190275Z", - "iopub.status.idle": "2024-04-12T10:23:42.208368Z", - "shell.execute_reply": "2024-04-12T10:23:42.207906Z" + "iopub.execute_input": "2024-04-22T21:52:15.061515Z", + "iopub.status.busy": "2024-04-22T21:52:15.060989Z", + "iopub.status.idle": "2024-04-22T21:52:15.078595Z", + "shell.execute_reply": "2024-04-22T21:52:15.078151Z" }, "scrolled": true }, @@ -611,10 +611,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:42.210334Z", - "iopub.status.busy": "2024-04-12T10:23:42.210148Z", - "iopub.status.idle": "2024-04-12T10:23:43.587931Z", - "shell.execute_reply": "2024-04-12T10:23:43.587353Z" + "iopub.execute_input": "2024-04-22T21:52:15.080607Z", + "iopub.status.busy": "2024-04-22T21:52:15.080418Z", + "iopub.status.idle": "2024-04-22T21:52:16.466029Z", + "shell.execute_reply": "2024-04-22T21:52:16.465391Z" }, "id": "AaHC5MRKjruT" }, @@ -733,10 +733,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.590812Z", - "iopub.status.busy": "2024-04-12T10:23:43.590056Z", - "iopub.status.idle": "2024-04-12T10:23:43.603605Z", - "shell.execute_reply": "2024-04-12T10:23:43.603062Z" + "iopub.execute_input": "2024-04-22T21:52:16.469031Z", + "iopub.status.busy": "2024-04-22T21:52:16.468302Z", + "iopub.status.idle": "2024-04-22T21:52:16.482090Z", + "shell.execute_reply": "2024-04-22T21:52:16.481639Z" }, "id": "Wy27rvyhjruU" }, @@ -785,10 +785,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.605792Z", - "iopub.status.busy": "2024-04-12T10:23:43.605467Z", - "iopub.status.idle": "2024-04-12T10:23:43.677986Z", - "shell.execute_reply": "2024-04-12T10:23:43.677445Z" + "iopub.execute_input": "2024-04-22T21:52:16.484023Z", + "iopub.status.busy": "2024-04-22T21:52:16.483766Z", + "iopub.status.idle": "2024-04-22T21:52:16.552482Z", + "shell.execute_reply": "2024-04-22T21:52:16.551951Z" }, "id": "Db8YHnyVjruU" }, @@ -895,10 +895,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.680310Z", - "iopub.status.busy": "2024-04-12T10:23:43.679977Z", - "iopub.status.idle": "2024-04-12T10:23:43.891156Z", - "shell.execute_reply": "2024-04-12T10:23:43.890601Z" + "iopub.execute_input": "2024-04-22T21:52:16.554676Z", + "iopub.status.busy": "2024-04-22T21:52:16.554385Z", + "iopub.status.idle": "2024-04-22T21:52:16.762288Z", + "shell.execute_reply": "2024-04-22T21:52:16.761706Z" }, "id": "iJqAHuS2jruV" }, @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.893478Z", - "iopub.status.busy": "2024-04-12T10:23:43.893179Z", - "iopub.status.idle": "2024-04-12T10:23:43.909858Z", - "shell.execute_reply": "2024-04-12T10:23:43.909401Z" + "iopub.execute_input": "2024-04-22T21:52:16.764493Z", + "iopub.status.busy": "2024-04-22T21:52:16.764152Z", + "iopub.status.idle": "2024-04-22T21:52:16.780864Z", + "shell.execute_reply": "2024-04-22T21:52:16.780432Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1404,10 +1404,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.911908Z", - "iopub.status.busy": "2024-04-12T10:23:43.911646Z", - "iopub.status.idle": "2024-04-12T10:23:43.920955Z", - "shell.execute_reply": "2024-04-12T10:23:43.920504Z" + "iopub.execute_input": "2024-04-22T21:52:16.782917Z", + "iopub.status.busy": "2024-04-22T21:52:16.782584Z", + "iopub.status.idle": "2024-04-22T21:52:16.792037Z", + "shell.execute_reply": "2024-04-22T21:52:16.791625Z" }, "id": "0lonvOYvjruV" }, @@ -1554,10 +1554,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.922907Z", - "iopub.status.busy": "2024-04-12T10:23:43.922643Z", - "iopub.status.idle": "2024-04-12T10:23:44.006657Z", - "shell.execute_reply": "2024-04-12T10:23:44.006071Z" + "iopub.execute_input": "2024-04-22T21:52:16.794122Z", + "iopub.status.busy": "2024-04-22T21:52:16.793794Z", + "iopub.status.idle": "2024-04-22T21:52:16.874914Z", + "shell.execute_reply": "2024-04-22T21:52:16.874301Z" }, "id": "MfqTCa3kjruV" }, @@ -1638,10 +1638,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.009278Z", - "iopub.status.busy": "2024-04-12T10:23:44.008899Z", - "iopub.status.idle": "2024-04-12T10:23:44.127203Z", - "shell.execute_reply": "2024-04-12T10:23:44.126645Z" + "iopub.execute_input": "2024-04-22T21:52:16.877155Z", + "iopub.status.busy": "2024-04-22T21:52:16.876925Z", + "iopub.status.idle": "2024-04-22T21:52:16.992477Z", + "shell.execute_reply": "2024-04-22T21:52:16.991885Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1701,10 +1701,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.129686Z", - "iopub.status.busy": "2024-04-12T10:23:44.129298Z", - "iopub.status.idle": "2024-04-12T10:23:44.132944Z", - "shell.execute_reply": "2024-04-12T10:23:44.132412Z" + "iopub.execute_input": "2024-04-22T21:52:16.994722Z", + "iopub.status.busy": "2024-04-22T21:52:16.994500Z", + "iopub.status.idle": "2024-04-22T21:52:16.998468Z", + "shell.execute_reply": "2024-04-22T21:52:16.997916Z" }, "id": "0rXP3ZPWjruW" }, @@ -1742,10 +1742,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.135040Z", - "iopub.status.busy": "2024-04-12T10:23:44.134724Z", - "iopub.status.idle": "2024-04-12T10:23:44.138374Z", - "shell.execute_reply": "2024-04-12T10:23:44.137840Z" + "iopub.execute_input": "2024-04-22T21:52:17.000557Z", + "iopub.status.busy": "2024-04-22T21:52:17.000129Z", + "iopub.status.idle": "2024-04-22T21:52:17.003797Z", + "shell.execute_reply": "2024-04-22T21:52:17.003311Z" }, "id": "-iRPe8KXjruW" }, @@ -1800,10 +1800,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.140470Z", - "iopub.status.busy": "2024-04-12T10:23:44.140123Z", - "iopub.status.idle": "2024-04-12T10:23:44.177318Z", - "shell.execute_reply": "2024-04-12T10:23:44.176868Z" + "iopub.execute_input": "2024-04-22T21:52:17.005797Z", + "iopub.status.busy": "2024-04-22T21:52:17.005483Z", + "iopub.status.idle": "2024-04-22T21:52:17.042345Z", + "shell.execute_reply": "2024-04-22T21:52:17.041919Z" }, "id": "ZpipUliyjruW" }, @@ -1854,10 +1854,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.179387Z", - "iopub.status.busy": "2024-04-12T10:23:44.179056Z", - "iopub.status.idle": "2024-04-12T10:23:44.220995Z", - "shell.execute_reply": "2024-04-12T10:23:44.220521Z" + "iopub.execute_input": "2024-04-22T21:52:17.044348Z", + "iopub.status.busy": "2024-04-22T21:52:17.044024Z", + "iopub.status.idle": "2024-04-22T21:52:17.085292Z", + "shell.execute_reply": "2024-04-22T21:52:17.084825Z" }, "id": "SLq-3q4xjruX" }, @@ -1926,10 +1926,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.223026Z", - "iopub.status.busy": "2024-04-12T10:23:44.222634Z", - "iopub.status.idle": "2024-04-12T10:23:44.344379Z", - "shell.execute_reply": "2024-04-12T10:23:44.343810Z" + "iopub.execute_input": "2024-04-22T21:52:17.087291Z", + "iopub.status.busy": "2024-04-22T21:52:17.086967Z", + "iopub.status.idle": "2024-04-22T21:52:17.176249Z", + "shell.execute_reply": "2024-04-22T21:52:17.175547Z" }, "id": "g5LHhhuqFbXK" }, @@ -1961,10 +1961,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.346999Z", - "iopub.status.busy": "2024-04-12T10:23:44.346626Z", - "iopub.status.idle": "2024-04-12T10:23:44.430647Z", - "shell.execute_reply": "2024-04-12T10:23:44.430049Z" + "iopub.execute_input": "2024-04-22T21:52:17.178856Z", + "iopub.status.busy": "2024-04-22T21:52:17.178637Z", + "iopub.status.idle": "2024-04-22T21:52:17.262491Z", + "shell.execute_reply": "2024-04-22T21:52:17.261872Z" }, "id": "p7w8F8ezBcet" }, @@ -2021,10 +2021,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.432860Z", - "iopub.status.busy": "2024-04-12T10:23:44.432630Z", - "iopub.status.idle": "2024-04-12T10:23:44.644391Z", - "shell.execute_reply": "2024-04-12T10:23:44.643766Z" + "iopub.execute_input": "2024-04-22T21:52:17.264785Z", + "iopub.status.busy": "2024-04-22T21:52:17.264560Z", + "iopub.status.idle": "2024-04-22T21:52:17.475922Z", + "shell.execute_reply": "2024-04-22T21:52:17.475354Z" }, "id": "WETRL74tE_sU" }, @@ -2059,10 +2059,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.646431Z", - "iopub.status.busy": "2024-04-12T10:23:44.646241Z", - "iopub.status.idle": "2024-04-12T10:23:44.820382Z", - "shell.execute_reply": "2024-04-12T10:23:44.819803Z" + "iopub.execute_input": "2024-04-22T21:52:17.478110Z", + "iopub.status.busy": "2024-04-22T21:52:17.477794Z", + "iopub.status.idle": "2024-04-22T21:52:17.646943Z", + "shell.execute_reply": "2024-04-22T21:52:17.646312Z" }, "id": "kCfdx2gOLmXS" }, @@ -2224,10 +2224,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.822782Z", - "iopub.status.busy": "2024-04-12T10:23:44.822415Z", - "iopub.status.idle": "2024-04-12T10:23:44.828228Z", - "shell.execute_reply": "2024-04-12T10:23:44.827794Z" + "iopub.execute_input": "2024-04-22T21:52:17.649168Z", + "iopub.status.busy": "2024-04-22T21:52:17.648932Z", + "iopub.status.idle": "2024-04-22T21:52:17.654785Z", + "shell.execute_reply": "2024-04-22T21:52:17.654297Z" }, "id": "-uogYRWFYnuu" }, @@ -2281,10 +2281,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.830285Z", - "iopub.status.busy": "2024-04-12T10:23:44.829942Z", - "iopub.status.idle": "2024-04-12T10:23:45.040133Z", - "shell.execute_reply": "2024-04-12T10:23:45.039564Z" + "iopub.execute_input": "2024-04-22T21:52:17.656637Z", + "iopub.status.busy": "2024-04-22T21:52:17.656468Z", + "iopub.status.idle": "2024-04-22T21:52:17.870516Z", + "shell.execute_reply": "2024-04-22T21:52:17.869974Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2331,10 +2331,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:45.042281Z", - "iopub.status.busy": "2024-04-12T10:23:45.042094Z", - "iopub.status.idle": "2024-04-12T10:23:46.102368Z", - "shell.execute_reply": "2024-04-12T10:23:46.101824Z" + "iopub.execute_input": "2024-04-22T21:52:17.872858Z", + "iopub.status.busy": "2024-04-22T21:52:17.872517Z", + "iopub.status.idle": "2024-04-22T21:52:18.913739Z", + "shell.execute_reply": "2024-04-22T21:52:18.913203Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb index f7ea7efc2..edd8f20c7 100644 --- a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb @@ -88,10 +88,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:49.391078Z", - "iopub.status.busy": "2024-04-12T10:23:49.390898Z", - "iopub.status.idle": "2024-04-12T10:23:50.452554Z", - "shell.execute_reply": "2024-04-12T10:23:50.451899Z" + "iopub.execute_input": "2024-04-22T21:52:22.067981Z", + "iopub.status.busy": "2024-04-22T21:52:22.067499Z", + "iopub.status.idle": "2024-04-22T21:52:23.142423Z", + "shell.execute_reply": "2024-04-22T21:52:23.141935Z" }, "nbsphinx": "hidden" }, @@ -101,7 +101,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -135,10 +135,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.455137Z", - "iopub.status.busy": "2024-04-12T10:23:50.454867Z", - "iopub.status.idle": "2024-04-12T10:23:50.458040Z", - "shell.execute_reply": "2024-04-12T10:23:50.457590Z" + "iopub.execute_input": "2024-04-22T21:52:23.145178Z", + "iopub.status.busy": "2024-04-22T21:52:23.144708Z", + "iopub.status.idle": "2024-04-22T21:52:23.149596Z", + "shell.execute_reply": "2024-04-22T21:52:23.149011Z" } }, "outputs": [], @@ -263,10 +263,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.460013Z", - "iopub.status.busy": "2024-04-12T10:23:50.459842Z", - "iopub.status.idle": "2024-04-12T10:23:50.467796Z", - "shell.execute_reply": "2024-04-12T10:23:50.467373Z" + "iopub.execute_input": "2024-04-22T21:52:23.152027Z", + "iopub.status.busy": "2024-04-22T21:52:23.151691Z", + "iopub.status.idle": "2024-04-22T21:52:23.159217Z", + "shell.execute_reply": "2024-04-22T21:52:23.158758Z" }, "nbsphinx": "hidden" }, @@ -350,10 +350,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.469988Z", - "iopub.status.busy": "2024-04-12T10:23:50.469546Z", - "iopub.status.idle": "2024-04-12T10:23:50.515538Z", - "shell.execute_reply": "2024-04-12T10:23:50.515006Z" + "iopub.execute_input": "2024-04-22T21:52:23.161157Z", + "iopub.status.busy": "2024-04-22T21:52:23.160834Z", + "iopub.status.idle": "2024-04-22T21:52:23.208411Z", + "shell.execute_reply": "2024-04-22T21:52:23.207820Z" } }, "outputs": [], @@ -379,10 +379,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.518017Z", - "iopub.status.busy": "2024-04-12T10:23:50.517498Z", - "iopub.status.idle": "2024-04-12T10:23:50.534348Z", - "shell.execute_reply": "2024-04-12T10:23:50.533932Z" + "iopub.execute_input": "2024-04-22T21:52:23.210979Z", + "iopub.status.busy": "2024-04-22T21:52:23.210437Z", + "iopub.status.idle": "2024-04-22T21:52:23.228127Z", + "shell.execute_reply": "2024-04-22T21:52:23.227691Z" } }, "outputs": [ @@ -597,10 +597,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.536552Z", - "iopub.status.busy": "2024-04-12T10:23:50.536024Z", - "iopub.status.idle": "2024-04-12T10:23:50.539914Z", - "shell.execute_reply": "2024-04-12T10:23:50.539410Z" + "iopub.execute_input": "2024-04-22T21:52:23.230262Z", + "iopub.status.busy": "2024-04-22T21:52:23.229939Z", + "iopub.status.idle": "2024-04-22T21:52:23.233771Z", + "shell.execute_reply": "2024-04-22T21:52:23.233244Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.541990Z", - "iopub.status.busy": "2024-04-12T10:23:50.541690Z", - "iopub.status.idle": "2024-04-12T10:23:50.569850Z", - "shell.execute_reply": "2024-04-12T10:23:50.569413Z" + "iopub.execute_input": "2024-04-22T21:52:23.236101Z", + "iopub.status.busy": "2024-04-22T21:52:23.235790Z", + "iopub.status.idle": "2024-04-22T21:52:23.262480Z", + "shell.execute_reply": "2024-04-22T21:52:23.262054Z" } }, "outputs": [], @@ -698,10 +698,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.571828Z", - "iopub.status.busy": "2024-04-12T10:23:50.571565Z", - "iopub.status.idle": "2024-04-12T10:23:50.605713Z", - "shell.execute_reply": "2024-04-12T10:23:50.605219Z" + "iopub.execute_input": "2024-04-22T21:52:23.264611Z", + "iopub.status.busy": "2024-04-22T21:52:23.264271Z", + "iopub.status.idle": "2024-04-22T21:52:23.290370Z", + "shell.execute_reply": "2024-04-22T21:52:23.289938Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.607962Z", - "iopub.status.busy": "2024-04-12T10:23:50.607561Z", - "iopub.status.idle": "2024-04-12T10:23:52.306188Z", - "shell.execute_reply": "2024-04-12T10:23:52.305627Z" + "iopub.execute_input": "2024-04-22T21:52:23.292483Z", + "iopub.status.busy": "2024-04-22T21:52:23.292183Z", + "iopub.status.idle": "2024-04-22T21:52:24.991406Z", + "shell.execute_reply": "2024-04-22T21:52:24.990836Z" } }, "outputs": [], @@ -771,10 +771,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.308677Z", - "iopub.status.busy": "2024-04-12T10:23:52.308386Z", - "iopub.status.idle": "2024-04-12T10:23:52.315080Z", - "shell.execute_reply": "2024-04-12T10:23:52.314524Z" + "iopub.execute_input": "2024-04-22T21:52:24.994019Z", + "iopub.status.busy": "2024-04-22T21:52:24.993511Z", + "iopub.status.idle": "2024-04-22T21:52:25.000338Z", + "shell.execute_reply": "2024-04-22T21:52:24.999792Z" }, "scrolled": true }, @@ -885,10 +885,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.317228Z", - "iopub.status.busy": "2024-04-12T10:23:52.316897Z", - "iopub.status.idle": "2024-04-12T10:23:52.329370Z", - "shell.execute_reply": "2024-04-12T10:23:52.328859Z" + "iopub.execute_input": "2024-04-22T21:52:25.002483Z", + "iopub.status.busy": "2024-04-22T21:52:25.002156Z", + "iopub.status.idle": "2024-04-22T21:52:25.014567Z", + "shell.execute_reply": "2024-04-22T21:52:25.014009Z" } }, "outputs": [ @@ -1138,10 +1138,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.331436Z", - "iopub.status.busy": "2024-04-12T10:23:52.331116Z", - "iopub.status.idle": "2024-04-12T10:23:52.337220Z", - "shell.execute_reply": "2024-04-12T10:23:52.336798Z" + "iopub.execute_input": "2024-04-22T21:52:25.016679Z", + "iopub.status.busy": "2024-04-22T21:52:25.016371Z", + "iopub.status.idle": "2024-04-22T21:52:25.022682Z", + "shell.execute_reply": "2024-04-22T21:52:25.022244Z" }, "scrolled": true }, @@ -1315,10 +1315,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.339282Z", - "iopub.status.busy": "2024-04-12T10:23:52.338968Z", - "iopub.status.idle": "2024-04-12T10:23:52.341494Z", - "shell.execute_reply": "2024-04-12T10:23:52.341083Z" + "iopub.execute_input": "2024-04-22T21:52:25.024560Z", + "iopub.status.busy": "2024-04-22T21:52:25.024392Z", + "iopub.status.idle": "2024-04-22T21:52:25.027108Z", + "shell.execute_reply": "2024-04-22T21:52:25.026655Z" } }, "outputs": [], @@ -1340,10 +1340,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.343481Z", - "iopub.status.busy": "2024-04-12T10:23:52.343160Z", - "iopub.status.idle": "2024-04-12T10:23:52.346396Z", - "shell.execute_reply": "2024-04-12T10:23:52.345863Z" + "iopub.execute_input": "2024-04-22T21:52:25.029076Z", + "iopub.status.busy": "2024-04-22T21:52:25.028781Z", + "iopub.status.idle": "2024-04-22T21:52:25.032448Z", + "shell.execute_reply": "2024-04-22T21:52:25.031995Z" }, "scrolled": true }, @@ -1395,10 +1395,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.348429Z", - "iopub.status.busy": "2024-04-12T10:23:52.348077Z", - "iopub.status.idle": "2024-04-12T10:23:52.350624Z", - "shell.execute_reply": "2024-04-12T10:23:52.350198Z" + "iopub.execute_input": "2024-04-22T21:52:25.034438Z", + "iopub.status.busy": "2024-04-22T21:52:25.034120Z", + "iopub.status.idle": "2024-04-22T21:52:25.036635Z", + "shell.execute_reply": "2024-04-22T21:52:25.036214Z" } }, "outputs": [], @@ -1422,10 +1422,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.352699Z", - "iopub.status.busy": "2024-04-12T10:23:52.352320Z", - "iopub.status.idle": "2024-04-12T10:23:52.356683Z", - "shell.execute_reply": "2024-04-12T10:23:52.356215Z" + "iopub.execute_input": "2024-04-22T21:52:25.038645Z", + "iopub.status.busy": "2024-04-22T21:52:25.038236Z", + "iopub.status.idle": "2024-04-22T21:52:25.042384Z", + "shell.execute_reply": "2024-04-22T21:52:25.041846Z" } }, "outputs": [ @@ -1480,10 +1480,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.358693Z", - "iopub.status.busy": "2024-04-12T10:23:52.358359Z", - "iopub.status.idle": "2024-04-12T10:23:52.387430Z", - "shell.execute_reply": "2024-04-12T10:23:52.386890Z" + "iopub.execute_input": "2024-04-22T21:52:25.044378Z", + "iopub.status.busy": "2024-04-22T21:52:25.044085Z", + "iopub.status.idle": "2024-04-22T21:52:25.072997Z", + "shell.execute_reply": "2024-04-22T21:52:25.072415Z" } }, "outputs": [], @@ -1526,10 +1526,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.389694Z", - "iopub.status.busy": "2024-04-12T10:23:52.389405Z", - "iopub.status.idle": "2024-04-12T10:23:52.393990Z", - "shell.execute_reply": "2024-04-12T10:23:52.393438Z" + "iopub.execute_input": "2024-04-22T21:52:25.075315Z", + "iopub.status.busy": "2024-04-22T21:52:25.074970Z", + "iopub.status.idle": "2024-04-22T21:52:25.079626Z", + "shell.execute_reply": "2024-04-22T21:52:25.079165Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb index 65f1d180e..25052b0fd 100644 --- a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb @@ -64,10 +64,10 @@ "id": "7383d024-8273-4039-bccd-aab3020d331f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:55.175052Z", - "iopub.status.busy": "2024-04-12T10:23:55.174880Z", - "iopub.status.idle": "2024-04-12T10:23:56.293270Z", - "shell.execute_reply": "2024-04-12T10:23:56.292722Z" + "iopub.execute_input": "2024-04-22T21:52:27.871661Z", + "iopub.status.busy": "2024-04-22T21:52:27.871503Z", + "iopub.status.idle": "2024-04-22T21:52:28.987816Z", + "shell.execute_reply": "2024-04-22T21:52:28.987286Z" }, "nbsphinx": "hidden" }, @@ -79,7 +79,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -105,10 +105,10 @@ "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:56.295811Z", - "iopub.status.busy": "2024-04-12T10:23:56.295427Z", - "iopub.status.idle": "2024-04-12T10:23:56.484825Z", - "shell.execute_reply": "2024-04-12T10:23:56.484201Z" + "iopub.execute_input": "2024-04-22T21:52:28.990431Z", + "iopub.status.busy": "2024-04-22T21:52:28.990030Z", + "iopub.status.idle": "2024-04-22T21:52:29.183019Z", + "shell.execute_reply": "2024-04-22T21:52:29.182448Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:56.487488Z", - "iopub.status.busy": "2024-04-12T10:23:56.487089Z", - "iopub.status.idle": "2024-04-12T10:23:56.500074Z", - "shell.execute_reply": "2024-04-12T10:23:56.499549Z" + "iopub.execute_input": "2024-04-22T21:52:29.185640Z", + "iopub.status.busy": "2024-04-22T21:52:29.185241Z", + "iopub.status.idle": "2024-04-22T21:52:29.198498Z", + "shell.execute_reply": "2024-04-22T21:52:29.198038Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:56.502218Z", - "iopub.status.busy": "2024-04-12T10:23:56.501834Z", - "iopub.status.idle": "2024-04-12T10:23:59.122623Z", - "shell.execute_reply": "2024-04-12T10:23:59.122125Z" + "iopub.execute_input": "2024-04-22T21:52:29.200404Z", + "iopub.status.busy": "2024-04-22T21:52:29.200226Z", + "iopub.status.idle": "2024-04-22T21:52:31.836938Z", + "shell.execute_reply": "2024-04-22T21:52:31.836353Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:59.124863Z", - "iopub.status.busy": "2024-04-12T10:23:59.124542Z", - "iopub.status.idle": "2024-04-12T10:24:00.449018Z", - "shell.execute_reply": "2024-04-12T10:24:00.448472Z" + "iopub.execute_input": "2024-04-22T21:52:31.839072Z", + "iopub.status.busy": "2024-04-22T21:52:31.838839Z", + "iopub.status.idle": "2024-04-22T21:52:33.167293Z", + "shell.execute_reply": "2024-04-22T21:52:33.166650Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:00.451459Z", - "iopub.status.busy": "2024-04-12T10:24:00.451135Z", - "iopub.status.idle": "2024-04-12T10:24:00.455264Z", - "shell.execute_reply": "2024-04-12T10:24:00.454807Z" + "iopub.execute_input": "2024-04-22T21:52:33.169786Z", + "iopub.status.busy": "2024-04-22T21:52:33.169588Z", + "iopub.status.idle": "2024-04-22T21:52:33.173702Z", + "shell.execute_reply": "2024-04-22T21:52:33.173237Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:00.457156Z", - "iopub.status.busy": "2024-04-12T10:24:00.456986Z", - "iopub.status.idle": "2024-04-12T10:24:02.203830Z", - "shell.execute_reply": "2024-04-12T10:24:02.203195Z" + "iopub.execute_input": "2024-04-22T21:52:33.175586Z", + "iopub.status.busy": "2024-04-22T21:52:33.175403Z", + "iopub.status.idle": "2024-04-22T21:52:34.903849Z", + "shell.execute_reply": "2024-04-22T21:52:34.903269Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:02.206204Z", - "iopub.status.busy": "2024-04-12T10:24:02.205840Z", - "iopub.status.idle": "2024-04-12T10:24:02.213889Z", - "shell.execute_reply": "2024-04-12T10:24:02.213422Z" + "iopub.execute_input": "2024-04-22T21:52:34.906320Z", + "iopub.status.busy": "2024-04-22T21:52:34.905957Z", + "iopub.status.idle": "2024-04-22T21:52:34.913712Z", + "shell.execute_reply": "2024-04-22T21:52:34.913204Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:02.216020Z", - "iopub.status.busy": "2024-04-12T10:24:02.215598Z", - "iopub.status.idle": "2024-04-12T10:24:04.765736Z", - "shell.execute_reply": "2024-04-12T10:24:04.765135Z" + "iopub.execute_input": "2024-04-22T21:52:34.915746Z", + "iopub.status.busy": "2024-04-22T21:52:34.915441Z", + "iopub.status.idle": "2024-04-22T21:52:37.497915Z", + "shell.execute_reply": "2024-04-22T21:52:37.497397Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:04.767846Z", - "iopub.status.busy": "2024-04-12T10:24:04.767636Z", - "iopub.status.idle": "2024-04-12T10:24:04.771503Z", - "shell.execute_reply": "2024-04-12T10:24:04.771040Z" + "iopub.execute_input": "2024-04-22T21:52:37.500331Z", + "iopub.status.busy": "2024-04-22T21:52:37.499958Z", + "iopub.status.idle": "2024-04-22T21:52:37.503499Z", + "shell.execute_reply": "2024-04-22T21:52:37.502992Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:04.773387Z", - "iopub.status.busy": "2024-04-12T10:24:04.773217Z", - "iopub.status.idle": "2024-04-12T10:24:04.777237Z", - "shell.execute_reply": "2024-04-12T10:24:04.776790Z" + "iopub.execute_input": "2024-04-22T21:52:37.505636Z", + "iopub.status.busy": "2024-04-22T21:52:37.505214Z", + "iopub.status.idle": "2024-04-22T21:52:37.509388Z", + "shell.execute_reply": "2024-04-22T21:52:37.508908Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:04.779284Z", - "iopub.status.busy": "2024-04-12T10:24:04.778862Z", - "iopub.status.idle": "2024-04-12T10:24:04.781859Z", - "shell.execute_reply": "2024-04-12T10:24:04.781434Z" + "iopub.execute_input": "2024-04-22T21:52:37.511366Z", + "iopub.status.busy": "2024-04-22T21:52:37.511060Z", + "iopub.status.idle": "2024-04-22T21:52:37.514206Z", + "shell.execute_reply": "2024-04-22T21:52:37.513660Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb index b2fe475ee..01cc635e5 100644 --- a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:07.097281Z", - "iopub.status.busy": "2024-04-12T10:24:07.096933Z", - "iopub.status.idle": "2024-04-12T10:24:08.212553Z", - "shell.execute_reply": "2024-04-12T10:24:08.212007Z" + "iopub.execute_input": "2024-04-22T21:52:39.874959Z", + "iopub.status.busy": "2024-04-22T21:52:39.874768Z", + "iopub.status.idle": "2024-04-22T21:52:41.002190Z", + "shell.execute_reply": "2024-04-22T21:52:41.001578Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -109,10 +109,10 @@ "id": "c90449c8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:08.215102Z", - "iopub.status.busy": "2024-04-12T10:24:08.214711Z", - "iopub.status.idle": "2024-04-12T10:24:10.950953Z", - "shell.execute_reply": "2024-04-12T10:24:10.950282Z" + "iopub.execute_input": "2024-04-22T21:52:41.004829Z", + "iopub.status.busy": "2024-04-22T21:52:41.004587Z", + "iopub.status.idle": "2024-04-22T21:52:42.502836Z", + "shell.execute_reply": "2024-04-22T21:52:42.502157Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:10.953725Z", - "iopub.status.busy": "2024-04-12T10:24:10.953344Z", - "iopub.status.idle": "2024-04-12T10:24:10.956460Z", - "shell.execute_reply": "2024-04-12T10:24:10.956013Z" + "iopub.execute_input": "2024-04-22T21:52:42.505492Z", + "iopub.status.busy": "2024-04-22T21:52:42.505092Z", + "iopub.status.idle": "2024-04-22T21:52:42.508264Z", + "shell.execute_reply": "2024-04-22T21:52:42.507828Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:10.958480Z", - "iopub.status.busy": "2024-04-12T10:24:10.958155Z", - "iopub.status.idle": "2024-04-12T10:24:10.964418Z", - "shell.execute_reply": "2024-04-12T10:24:10.963977Z" + "iopub.execute_input": "2024-04-22T21:52:42.510261Z", + "iopub.status.busy": "2024-04-22T21:52:42.509930Z", + "iopub.status.idle": "2024-04-22T21:52:42.516878Z", + "shell.execute_reply": "2024-04-22T21:52:42.516462Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:10.966556Z", - "iopub.status.busy": "2024-04-12T10:24:10.966227Z", - "iopub.status.idle": "2024-04-12T10:24:11.451698Z", - "shell.execute_reply": "2024-04-12T10:24:11.451066Z" + "iopub.execute_input": "2024-04-22T21:52:42.518847Z", + "iopub.status.busy": "2024-04-22T21:52:42.518514Z", + "iopub.status.idle": "2024-04-22T21:52:43.005619Z", + "shell.execute_reply": "2024-04-22T21:52:43.005051Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:11.454681Z", - "iopub.status.busy": "2024-04-12T10:24:11.454271Z", - "iopub.status.idle": "2024-04-12T10:24:11.459580Z", - "shell.execute_reply": "2024-04-12T10:24:11.459100Z" + "iopub.execute_input": "2024-04-22T21:52:43.008477Z", + "iopub.status.busy": "2024-04-22T21:52:43.008132Z", + "iopub.status.idle": "2024-04-22T21:52:43.013203Z", + "shell.execute_reply": "2024-04-22T21:52:43.012773Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:11.461685Z", - "iopub.status.busy": "2024-04-12T10:24:11.461362Z", - "iopub.status.idle": "2024-04-12T10:24:11.465128Z", - "shell.execute_reply": "2024-04-12T10:24:11.464646Z" + "iopub.execute_input": "2024-04-22T21:52:43.014993Z", + "iopub.status.busy": "2024-04-22T21:52:43.014809Z", + "iopub.status.idle": "2024-04-22T21:52:43.018689Z", + "shell.execute_reply": "2024-04-22T21:52:43.018168Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:11.467197Z", - "iopub.status.busy": "2024-04-12T10:24:11.466872Z", - "iopub.status.idle": "2024-04-12T10:24:12.125116Z", - "shell.execute_reply": "2024-04-12T10:24:12.124486Z" + "iopub.execute_input": "2024-04-22T21:52:43.020739Z", + "iopub.status.busy": "2024-04-22T21:52:43.020342Z", + "iopub.status.idle": "2024-04-22T21:52:43.740955Z", + "shell.execute_reply": "2024-04-22T21:52:43.740423Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.127345Z", - "iopub.status.busy": "2024-04-12T10:24:12.127144Z", - "iopub.status.idle": "2024-04-12T10:24:12.299269Z", - "shell.execute_reply": "2024-04-12T10:24:12.298836Z" + "iopub.execute_input": "2024-04-22T21:52:43.743337Z", + "iopub.status.busy": "2024-04-22T21:52:43.742962Z", + "iopub.status.idle": "2024-04-22T21:52:43.996488Z", + "shell.execute_reply": "2024-04-22T21:52:43.995921Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.301260Z", - "iopub.status.busy": "2024-04-12T10:24:12.301079Z", - "iopub.status.idle": "2024-04-12T10:24:12.305435Z", - "shell.execute_reply": "2024-04-12T10:24:12.304991Z" + "iopub.execute_input": "2024-04-22T21:52:43.998707Z", + "iopub.status.busy": "2024-04-22T21:52:43.998370Z", + "iopub.status.idle": "2024-04-22T21:52:44.002592Z", + "shell.execute_reply": "2024-04-22T21:52:44.002163Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.307363Z", - "iopub.status.busy": "2024-04-12T10:24:12.307187Z", - "iopub.status.idle": "2024-04-12T10:24:12.752036Z", - "shell.execute_reply": "2024-04-12T10:24:12.751469Z" + "iopub.execute_input": "2024-04-22T21:52:44.004706Z", + "iopub.status.busy": "2024-04-22T21:52:44.004389Z", + "iopub.status.idle": "2024-04-22T21:52:44.456572Z", + "shell.execute_reply": "2024-04-22T21:52:44.456005Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.755169Z", - "iopub.status.busy": "2024-04-12T10:24:12.754969Z", - "iopub.status.idle": "2024-04-12T10:24:13.087409Z", - "shell.execute_reply": "2024-04-12T10:24:13.086834Z" + "iopub.execute_input": "2024-04-22T21:52:44.459190Z", + "iopub.status.busy": "2024-04-22T21:52:44.458832Z", + "iopub.status.idle": "2024-04-22T21:52:44.790719Z", + "shell.execute_reply": "2024-04-22T21:52:44.790179Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:13.089853Z", - "iopub.status.busy": "2024-04-12T10:24:13.089643Z", - "iopub.status.idle": "2024-04-12T10:24:13.420095Z", - "shell.execute_reply": "2024-04-12T10:24:13.419497Z" + "iopub.execute_input": "2024-04-22T21:52:44.793608Z", + "iopub.status.busy": "2024-04-22T21:52:44.793244Z", + "iopub.status.idle": "2024-04-22T21:52:45.152105Z", + "shell.execute_reply": "2024-04-22T21:52:45.151487Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:13.423524Z", - "iopub.status.busy": "2024-04-12T10:24:13.423020Z", - "iopub.status.idle": "2024-04-12T10:24:13.834773Z", - "shell.execute_reply": "2024-04-12T10:24:13.834169Z" + "iopub.execute_input": "2024-04-22T21:52:45.155344Z", + "iopub.status.busy": "2024-04-22T21:52:45.154983Z", + "iopub.status.idle": "2024-04-22T21:52:45.562774Z", + "shell.execute_reply": "2024-04-22T21:52:45.562226Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:13.838759Z", - "iopub.status.busy": "2024-04-12T10:24:13.838433Z", - "iopub.status.idle": "2024-04-12T10:24:14.282152Z", - "shell.execute_reply": "2024-04-12T10:24:14.281540Z" + "iopub.execute_input": "2024-04-22T21:52:45.567064Z", + "iopub.status.busy": "2024-04-22T21:52:45.566562Z", + "iopub.status.idle": "2024-04-22T21:52:45.988534Z", + "shell.execute_reply": "2024-04-22T21:52:45.987907Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.284971Z", - "iopub.status.busy": "2024-04-12T10:24:14.284579Z", - "iopub.status.idle": "2024-04-12T10:24:14.496527Z", - "shell.execute_reply": "2024-04-12T10:24:14.495932Z" + "iopub.execute_input": "2024-04-22T21:52:45.991231Z", + "iopub.status.busy": "2024-04-22T21:52:45.990782Z", + "iopub.status.idle": "2024-04-22T21:52:46.204068Z", + "shell.execute_reply": "2024-04-22T21:52:46.203517Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.498802Z", - "iopub.status.busy": "2024-04-12T10:24:14.498448Z", - "iopub.status.idle": "2024-04-12T10:24:14.697524Z", - "shell.execute_reply": "2024-04-12T10:24:14.697045Z" + "iopub.execute_input": "2024-04-22T21:52:46.206235Z", + "iopub.status.busy": "2024-04-22T21:52:46.206054Z", + "iopub.status.idle": "2024-04-22T21:52:46.404266Z", + "shell.execute_reply": "2024-04-22T21:52:46.403693Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.699593Z", - "iopub.status.busy": "2024-04-12T10:24:14.699404Z", - "iopub.status.idle": "2024-04-12T10:24:14.702238Z", - "shell.execute_reply": "2024-04-12T10:24:14.701789Z" + "iopub.execute_input": "2024-04-22T21:52:46.406359Z", + "iopub.status.busy": "2024-04-22T21:52:46.406181Z", + "iopub.status.idle": "2024-04-22T21:52:46.409147Z", + "shell.execute_reply": "2024-04-22T21:52:46.408688Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.704154Z", - "iopub.status.busy": "2024-04-12T10:24:14.703979Z", - "iopub.status.idle": "2024-04-12T10:24:15.665918Z", - "shell.execute_reply": "2024-04-12T10:24:15.665388Z" + "iopub.execute_input": "2024-04-22T21:52:46.410919Z", + "iopub.status.busy": "2024-04-22T21:52:46.410739Z", + "iopub.status.idle": "2024-04-22T21:52:47.354011Z", + "shell.execute_reply": "2024-04-22T21:52:47.353447Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:15.668649Z", - "iopub.status.busy": "2024-04-12T10:24:15.668325Z", - "iopub.status.idle": "2024-04-12T10:24:15.847432Z", - "shell.execute_reply": "2024-04-12T10:24:15.846883Z" + "iopub.execute_input": "2024-04-22T21:52:47.356366Z", + "iopub.status.busy": "2024-04-22T21:52:47.356183Z", + "iopub.status.idle": "2024-04-22T21:52:47.520348Z", + "shell.execute_reply": "2024-04-22T21:52:47.519913Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:15.849530Z", - "iopub.status.busy": "2024-04-12T10:24:15.849349Z", - "iopub.status.idle": "2024-04-12T10:24:15.966721Z", - "shell.execute_reply": "2024-04-12T10:24:15.966284Z" + "iopub.execute_input": "2024-04-22T21:52:47.522432Z", + "iopub.status.busy": "2024-04-22T21:52:47.522132Z", + "iopub.status.idle": "2024-04-22T21:52:47.636759Z", + "shell.execute_reply": "2024-04-22T21:52:47.636341Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:15.968766Z", - "iopub.status.busy": "2024-04-12T10:24:15.968587Z", - "iopub.status.idle": "2024-04-12T10:24:16.706556Z", - "shell.execute_reply": "2024-04-12T10:24:16.706054Z" + "iopub.execute_input": "2024-04-22T21:52:47.638829Z", + "iopub.status.busy": "2024-04-22T21:52:47.638531Z", + "iopub.status.idle": "2024-04-22T21:52:48.327849Z", + "shell.execute_reply": "2024-04-22T21:52:48.327332Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:16.708878Z", - "iopub.status.busy": "2024-04-12T10:24:16.708548Z", - "iopub.status.idle": "2024-04-12T10:24:16.711993Z", - "shell.execute_reply": "2024-04-12T10:24:16.711572Z" + "iopub.execute_input": "2024-04-22T21:52:48.330017Z", + "iopub.status.busy": "2024-04-22T21:52:48.329837Z", + "iopub.status.idle": "2024-04-22T21:52:48.333357Z", + "shell.execute_reply": "2024-04-22T21:52:48.332930Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb index fee58017c..7ceae64d3 100644 --- a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:18.938915Z", - "iopub.status.busy": "2024-04-12T10:24:18.938732Z", - "iopub.status.idle": "2024-04-12T10:24:21.616346Z", - "shell.execute_reply": "2024-04-12T10:24:21.615740Z" + "iopub.execute_input": "2024-04-22T21:52:50.554233Z", + "iopub.status.busy": "2024-04-22T21:52:50.553814Z", + "iopub.status.idle": "2024-04-22T21:52:53.231577Z", + "shell.execute_reply": "2024-04-22T21:52:53.230911Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "id": "4396f544", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:21.618912Z", - "iopub.status.busy": "2024-04-12T10:24:21.618617Z", - "iopub.status.idle": "2024-04-12T10:24:21.936376Z", - "shell.execute_reply": "2024-04-12T10:24:21.935799Z" + "iopub.execute_input": "2024-04-22T21:52:53.234178Z", + "iopub.status.busy": "2024-04-22T21:52:53.233772Z", + "iopub.status.idle": "2024-04-22T21:52:53.557178Z", + "shell.execute_reply": "2024-04-22T21:52:53.556628Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:21.938714Z", - "iopub.status.busy": "2024-04-12T10:24:21.938426Z", - "iopub.status.idle": "2024-04-12T10:24:21.942588Z", - "shell.execute_reply": "2024-04-12T10:24:21.942060Z" + "iopub.execute_input": "2024-04-22T21:52:53.559861Z", + "iopub.status.busy": "2024-04-22T21:52:53.559444Z", + "iopub.status.idle": "2024-04-22T21:52:53.563646Z", + "shell.execute_reply": "2024-04-22T21:52:53.563119Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:21.944789Z", - "iopub.status.busy": "2024-04-12T10:24:21.944364Z", - "iopub.status.idle": "2024-04-12T10:24:29.222246Z", - "shell.execute_reply": "2024-04-12T10:24:29.221744Z" + "iopub.execute_input": "2024-04-22T21:52:53.565528Z", + "iopub.status.busy": "2024-04-22T21:52:53.565355Z", + "iopub.status.idle": "2024-04-22T21:52:57.764311Z", + "shell.execute_reply": "2024-04-22T21:52:57.763806Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 32768/170498071 [00:00<10:56, 259731.90it/s]" + " 1%|▏ | 2392064/170498071 [00:00<00:07, 23857808.75it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - 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"iopub.execute_input": "2024-04-12T10:24:29.224547Z", - "iopub.status.busy": "2024-04-12T10:24:29.224176Z", - "iopub.status.idle": "2024-04-12T10:24:29.228815Z", - "shell.execute_reply": "2024-04-12T10:24:29.228374Z" + "iopub.execute_input": "2024-04-22T21:52:57.766516Z", + "iopub.status.busy": "2024-04-22T21:52:57.766184Z", + "iopub.status.idle": "2024-04-22T21:52:57.770805Z", + "shell.execute_reply": "2024-04-22T21:52:57.770382Z" }, "nbsphinx": "hidden" }, @@ -728,10 +544,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:29.230901Z", - "iopub.status.busy": "2024-04-12T10:24:29.230497Z", - "iopub.status.idle": "2024-04-12T10:24:29.753754Z", - "shell.execute_reply": "2024-04-12T10:24:29.753156Z" + "iopub.execute_input": "2024-04-22T21:52:57.772635Z", + "iopub.status.busy": "2024-04-22T21:52:57.772461Z", + "iopub.status.idle": "2024-04-22T21:52:58.314810Z", + "shell.execute_reply": "2024-04-22T21:52:58.314208Z" } }, "outputs": [ @@ -764,10 +580,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:29.756054Z", - "iopub.status.busy": "2024-04-12T10:24:29.755592Z", - "iopub.status.idle": "2024-04-12T10:24:30.247066Z", - "shell.execute_reply": "2024-04-12T10:24:30.246453Z" + "iopub.execute_input": "2024-04-22T21:52:58.316967Z", + "iopub.status.busy": "2024-04-22T21:52:58.316777Z", + "iopub.status.idle": "2024-04-22T21:52:58.832112Z", + "shell.execute_reply": "2024-04-22T21:52:58.831587Z" } }, "outputs": [ @@ -805,10 +621,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:30.249388Z", - "iopub.status.busy": "2024-04-12T10:24:30.249026Z", - "iopub.status.idle": "2024-04-12T10:24:30.252641Z", - "shell.execute_reply": "2024-04-12T10:24:30.252072Z" + "iopub.execute_input": "2024-04-22T21:52:58.834206Z", + "iopub.status.busy": "2024-04-22T21:52:58.834015Z", + "iopub.status.idle": "2024-04-22T21:52:58.837580Z", + "shell.execute_reply": "2024-04-22T21:52:58.837127Z" } }, "outputs": [], @@ -831,17 +647,17 @@ "id": "85a58d41", "metadata": { "execution": { - 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"layout": "IPY_MODEL_b93b931a316742dfa6b3d4c1d289cde6", + "layout": "IPY_MODEL_559e322b466b4b5daea0b3132a5a4562", "placeholder": "​", - "style": "IPY_MODEL_e764cb1b21de485aa6f278ddfa80f38d", + "style": "IPY_MODEL_83e97d1a003140f2bdb9eadf88b1fa85", "tabbable": null, "tooltip": null, "value": "model.safetensors: 100%" } }, - "b93b931a316742dfa6b3d4c1d289cde6": { + "cd95634aa4a64f878d6e87e3d255d7a7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_e5b3e13ebc974ac99395bb3ca53ef7d8", + "placeholder": "​", + "style": "IPY_MODEL_7e6aeef5716a4fec83724de6d7575f06", + "tabbable": null, + "tooltip": null, + "value": " 102M/102M [00:01<00:00, 128MB/s]" + } + }, + "d189d0882711471db5e3652040431f7a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e5b3e13ebc974ac99395bb3ca53ef7d8": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1584,49 +1460,7 @@ "width": null } }, - 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"_model_module_version": "2.0.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "d6bf6323cba344dd852ee94faac54bbb": { + "ed1a3a47e4b54e37abe194f39999812e": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1678,24 +1512,6 @@ "visibility": null, "width": null } - }, - "e764cb1b21de485aa6f278ddfa80f38d": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null - } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/regression.ipynb b/master/.doctrees/nbsphinx/tutorials/regression.ipynb index e7b0a1ad7..bbbc032b1 100644 --- a/master/.doctrees/nbsphinx/tutorials/regression.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/regression.ipynb @@ -102,10 +102,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:02.333587Z", - "iopub.status.busy": "2024-04-12T10:25:02.333248Z", - "iopub.status.idle": "2024-04-12T10:25:03.453616Z", - "shell.execute_reply": "2024-04-12T10:25:03.453061Z" + "iopub.execute_input": "2024-04-22T21:53:31.774797Z", + "iopub.status.busy": "2024-04-22T21:53:31.774402Z", + "iopub.status.idle": "2024-04-22T21:53:32.923980Z", + "shell.execute_reply": "2024-04-22T21:53:32.923359Z" }, "nbsphinx": "hidden" }, @@ -116,7 +116,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -142,10 +142,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.455996Z", - "iopub.status.busy": "2024-04-12T10:25:03.455733Z", - "iopub.status.idle": "2024-04-12T10:25:03.473205Z", - "shell.execute_reply": "2024-04-12T10:25:03.472785Z" + "iopub.execute_input": "2024-04-22T21:53:32.926573Z", + "iopub.status.busy": "2024-04-22T21:53:32.926157Z", + "iopub.status.idle": "2024-04-22T21:53:32.943814Z", + "shell.execute_reply": "2024-04-22T21:53:32.943262Z" } }, "outputs": [], @@ -164,10 +164,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.475370Z", - "iopub.status.busy": "2024-04-12T10:25:03.474858Z", - "iopub.status.idle": "2024-04-12T10:25:03.477808Z", - "shell.execute_reply": "2024-04-12T10:25:03.477381Z" + "iopub.execute_input": "2024-04-22T21:53:32.946002Z", + "iopub.status.busy": "2024-04-22T21:53:32.945619Z", + "iopub.status.idle": "2024-04-22T21:53:32.948493Z", + "shell.execute_reply": "2024-04-22T21:53:32.948081Z" }, "nbsphinx": "hidden" }, @@ -198,10 +198,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.479592Z", - "iopub.status.busy": "2024-04-12T10:25:03.479420Z", - "iopub.status.idle": "2024-04-12T10:25:03.713443Z", - "shell.execute_reply": "2024-04-12T10:25:03.712870Z" + "iopub.execute_input": "2024-04-22T21:53:32.950474Z", + "iopub.status.busy": "2024-04-22T21:53:32.950158Z", + "iopub.status.idle": "2024-04-22T21:53:33.043024Z", + "shell.execute_reply": "2024-04-22T21:53:33.042556Z" } }, "outputs": [ @@ -374,10 +374,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.715755Z", - "iopub.status.busy": "2024-04-12T10:25:03.715427Z", - "iopub.status.idle": "2024-04-12T10:25:03.893499Z", - "shell.execute_reply": "2024-04-12T10:25:03.892882Z" + "iopub.execute_input": "2024-04-22T21:53:33.045231Z", + "iopub.status.busy": "2024-04-22T21:53:33.044971Z", + "iopub.status.idle": "2024-04-22T21:53:33.224282Z", + "shell.execute_reply": "2024-04-22T21:53:33.223666Z" }, "nbsphinx": "hidden" }, @@ -417,10 +417,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.895840Z", - "iopub.status.busy": "2024-04-12T10:25:03.895627Z", - "iopub.status.idle": "2024-04-12T10:25:04.136470Z", - "shell.execute_reply": "2024-04-12T10:25:04.135879Z" + "iopub.execute_input": "2024-04-22T21:53:33.226920Z", + "iopub.status.busy": "2024-04-22T21:53:33.226584Z", + "iopub.status.idle": "2024-04-22T21:53:33.466115Z", + "shell.execute_reply": "2024-04-22T21:53:33.465573Z" } }, "outputs": [ @@ -456,10 +456,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.138477Z", - "iopub.status.busy": "2024-04-12T10:25:04.138293Z", - "iopub.status.idle": "2024-04-12T10:25:04.142665Z", - "shell.execute_reply": "2024-04-12T10:25:04.142223Z" + "iopub.execute_input": "2024-04-22T21:53:33.468371Z", + "iopub.status.busy": "2024-04-22T21:53:33.467961Z", + "iopub.status.idle": "2024-04-22T21:53:33.472221Z", + "shell.execute_reply": "2024-04-22T21:53:33.471764Z" } }, "outputs": [], @@ -477,10 +477,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.144529Z", - "iopub.status.busy": "2024-04-12T10:25:04.144353Z", - "iopub.status.idle": "2024-04-12T10:25:04.150383Z", - "shell.execute_reply": "2024-04-12T10:25:04.149964Z" + "iopub.execute_input": "2024-04-22T21:53:33.474231Z", + "iopub.status.busy": "2024-04-22T21:53:33.473822Z", + "iopub.status.idle": "2024-04-22T21:53:33.479953Z", + "shell.execute_reply": "2024-04-22T21:53:33.479521Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.152543Z", - "iopub.status.busy": "2024-04-12T10:25:04.152119Z", - "iopub.status.idle": "2024-04-12T10:25:04.154852Z", - "shell.execute_reply": "2024-04-12T10:25:04.154430Z" + "iopub.execute_input": "2024-04-22T21:53:33.481941Z", + "iopub.status.busy": "2024-04-22T21:53:33.481614Z", + "iopub.status.idle": "2024-04-22T21:53:33.484096Z", + "shell.execute_reply": "2024-04-22T21:53:33.483667Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.156757Z", - "iopub.status.busy": "2024-04-12T10:25:04.156587Z", - "iopub.status.idle": "2024-04-12T10:25:12.280210Z", - "shell.execute_reply": "2024-04-12T10:25:12.279579Z" + "iopub.execute_input": "2024-04-22T21:53:33.485977Z", + "iopub.status.busy": "2024-04-22T21:53:33.485661Z", + "iopub.status.idle": "2024-04-22T21:53:41.696382Z", + "shell.execute_reply": "2024-04-22T21:53:41.695825Z" } }, "outputs": [], @@ -572,10 +572,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.283300Z", - "iopub.status.busy": "2024-04-12T10:25:12.282629Z", - "iopub.status.idle": "2024-04-12T10:25:12.289681Z", - "shell.execute_reply": "2024-04-12T10:25:12.289190Z" + "iopub.execute_input": "2024-04-22T21:53:41.699266Z", + "iopub.status.busy": "2024-04-22T21:53:41.698639Z", + "iopub.status.idle": "2024-04-22T21:53:41.705535Z", + "shell.execute_reply": "2024-04-22T21:53:41.705083Z" } }, "outputs": [ @@ -678,10 +678,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.291744Z", - "iopub.status.busy": "2024-04-12T10:25:12.291407Z", - "iopub.status.idle": "2024-04-12T10:25:12.295062Z", - "shell.execute_reply": "2024-04-12T10:25:12.294584Z" + "iopub.execute_input": "2024-04-22T21:53:41.707433Z", + "iopub.status.busy": "2024-04-22T21:53:41.707138Z", + "iopub.status.idle": "2024-04-22T21:53:41.710782Z", + "shell.execute_reply": "2024-04-22T21:53:41.710230Z" } }, "outputs": [], @@ -696,10 +696,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.297028Z", - "iopub.status.busy": "2024-04-12T10:25:12.296703Z", - "iopub.status.idle": "2024-04-12T10:25:12.299796Z", - "shell.execute_reply": "2024-04-12T10:25:12.299287Z" + "iopub.execute_input": "2024-04-22T21:53:41.712977Z", + "iopub.status.busy": "2024-04-22T21:53:41.712680Z", + "iopub.status.idle": "2024-04-22T21:53:41.716049Z", + "shell.execute_reply": "2024-04-22T21:53:41.715604Z" } }, "outputs": [ @@ -734,10 +734,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.301759Z", - "iopub.status.busy": "2024-04-12T10:25:12.301436Z", - "iopub.status.idle": "2024-04-12T10:25:12.304464Z", - "shell.execute_reply": "2024-04-12T10:25:12.304005Z" + "iopub.execute_input": "2024-04-22T21:53:41.717915Z", + "iopub.status.busy": "2024-04-22T21:53:41.717747Z", + "iopub.status.idle": "2024-04-22T21:53:41.720581Z", + "shell.execute_reply": "2024-04-22T21:53:41.720164Z" } }, "outputs": [], @@ -756,10 +756,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.306418Z", - "iopub.status.busy": "2024-04-12T10:25:12.306034Z", - "iopub.status.idle": "2024-04-12T10:25:12.313812Z", - "shell.execute_reply": "2024-04-12T10:25:12.313347Z" + "iopub.execute_input": "2024-04-22T21:53:41.722322Z", + "iopub.status.busy": "2024-04-22T21:53:41.722159Z", + "iopub.status.idle": "2024-04-22T21:53:41.729904Z", + "shell.execute_reply": "2024-04-22T21:53:41.729486Z" } }, "outputs": [ @@ -883,10 +883,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.315696Z", - "iopub.status.busy": "2024-04-12T10:25:12.315519Z", - "iopub.status.idle": "2024-04-12T10:25:12.318030Z", - "shell.execute_reply": "2024-04-12T10:25:12.317617Z" + "iopub.execute_input": "2024-04-22T21:53:41.731829Z", + "iopub.status.busy": "2024-04-22T21:53:41.731660Z", + "iopub.status.idle": "2024-04-22T21:53:41.734157Z", + "shell.execute_reply": "2024-04-22T21:53:41.733741Z" }, "nbsphinx": "hidden" }, @@ -921,10 +921,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.319880Z", - "iopub.status.busy": "2024-04-12T10:25:12.319709Z", - "iopub.status.idle": "2024-04-12T10:25:12.446802Z", - "shell.execute_reply": "2024-04-12T10:25:12.446226Z" + "iopub.execute_input": "2024-04-22T21:53:41.736001Z", + "iopub.status.busy": "2024-04-22T21:53:41.735835Z", + "iopub.status.idle": "2024-04-22T21:53:41.854569Z", + "shell.execute_reply": "2024-04-22T21:53:41.854079Z" } }, "outputs": [ @@ -963,10 +963,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.449151Z", - "iopub.status.busy": "2024-04-12T10:25:12.448933Z", - "iopub.status.idle": "2024-04-12T10:25:12.551379Z", - "shell.execute_reply": "2024-04-12T10:25:12.550840Z" + "iopub.execute_input": "2024-04-22T21:53:41.856749Z", + "iopub.status.busy": "2024-04-22T21:53:41.856387Z", + "iopub.status.idle": "2024-04-22T21:53:41.962309Z", + "shell.execute_reply": "2024-04-22T21:53:41.961824Z" } }, "outputs": [ @@ -1022,10 +1022,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.553858Z", - "iopub.status.busy": "2024-04-12T10:25:12.553438Z", - "iopub.status.idle": "2024-04-12T10:25:13.030239Z", - "shell.execute_reply": "2024-04-12T10:25:13.029624Z" + "iopub.execute_input": "2024-04-22T21:53:41.964574Z", + "iopub.status.busy": "2024-04-22T21:53:41.964217Z", + "iopub.status.idle": "2024-04-22T21:53:42.441758Z", + "shell.execute_reply": "2024-04-22T21:53:42.441235Z" } }, "outputs": [], @@ -1041,10 +1041,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.032916Z", - "iopub.status.busy": "2024-04-12T10:25:13.032497Z", - "iopub.status.idle": "2024-04-12T10:25:13.138408Z", - "shell.execute_reply": "2024-04-12T10:25:13.137834Z" + "iopub.execute_input": "2024-04-22T21:53:42.444476Z", + "iopub.status.busy": "2024-04-22T21:53:42.444006Z", + "iopub.status.idle": "2024-04-22T21:53:42.534082Z", + "shell.execute_reply": "2024-04-22T21:53:42.533512Z" } }, "outputs": [ @@ -1079,10 +1079,10 @@ "id": "dbab6fb3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.140819Z", - "iopub.status.busy": "2024-04-12T10:25:13.140471Z", - "iopub.status.idle": "2024-04-12T10:25:13.149090Z", - "shell.execute_reply": "2024-04-12T10:25:13.148537Z" + "iopub.execute_input": "2024-04-22T21:53:42.536488Z", + "iopub.status.busy": "2024-04-22T21:53:42.536036Z", + "iopub.status.idle": "2024-04-22T21:53:42.544415Z", + "shell.execute_reply": "2024-04-22T21:53:42.543983Z" } }, "outputs": [ @@ -1189,10 +1189,10 @@ "id": "5b39b8b5", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.151137Z", - "iopub.status.busy": "2024-04-12T10:25:13.150732Z", - "iopub.status.idle": "2024-04-12T10:25:13.153501Z", - "shell.execute_reply": "2024-04-12T10:25:13.152973Z" + "iopub.execute_input": "2024-04-22T21:53:42.546328Z", + "iopub.status.busy": "2024-04-22T21:53:42.546009Z", + "iopub.status.idle": "2024-04-22T21:53:42.548550Z", + "shell.execute_reply": "2024-04-22T21:53:42.548133Z" }, "nbsphinx": "hidden" }, @@ -1217,10 +1217,10 @@ "id": "df06525b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.155613Z", - "iopub.status.busy": "2024-04-12T10:25:13.155292Z", - "iopub.status.idle": "2024-04-12T10:25:18.542395Z", - "shell.execute_reply": "2024-04-12T10:25:18.541811Z" + "iopub.execute_input": "2024-04-22T21:53:42.550584Z", + "iopub.status.busy": "2024-04-22T21:53:42.550276Z", + "iopub.status.idle": "2024-04-22T21:53:47.930432Z", + "shell.execute_reply": "2024-04-22T21:53:47.929860Z" } }, "outputs": [ @@ -1264,10 +1264,10 @@ "id": "05282559", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:18.544811Z", - "iopub.status.busy": "2024-04-12T10:25:18.544472Z", - "iopub.status.idle": "2024-04-12T10:25:18.553283Z", - "shell.execute_reply": "2024-04-12T10:25:18.552725Z" + "iopub.execute_input": "2024-04-22T21:53:47.932787Z", + "iopub.status.busy": "2024-04-22T21:53:47.932372Z", + "iopub.status.idle": "2024-04-22T21:53:47.940933Z", + "shell.execute_reply": "2024-04-22T21:53:47.940504Z" } }, "outputs": [ @@ -1376,10 +1376,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:18.555344Z", - "iopub.status.busy": "2024-04-12T10:25:18.555064Z", - "iopub.status.idle": "2024-04-12T10:25:18.623924Z", - "shell.execute_reply": "2024-04-12T10:25:18.623438Z" + "iopub.execute_input": "2024-04-22T21:53:47.942890Z", + "iopub.status.busy": "2024-04-22T21:53:47.942698Z", + "iopub.status.idle": "2024-04-22T21:53:48.006741Z", + "shell.execute_reply": "2024-04-22T21:53:48.006153Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb index 1b1bc7173..9db489293 100644 --- a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb @@ -61,10 +61,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:21.309693Z", - "iopub.status.busy": "2024-04-12T10:25:21.309518Z", - "iopub.status.idle": "2024-04-12T10:25:23.743540Z", - "shell.execute_reply": "2024-04-12T10:25:23.742874Z" + "iopub.execute_input": "2024-04-22T21:53:51.006310Z", + "iopub.status.busy": "2024-04-22T21:53:51.006137Z", + "iopub.status.idle": "2024-04-22T21:53:52.140306Z", + "shell.execute_reply": "2024-04-22T21:53:52.139612Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:23.746236Z", - "iopub.status.busy": "2024-04-12T10:25:23.745823Z", - "iopub.status.idle": "2024-04-12T10:26:26.178469Z", - "shell.execute_reply": "2024-04-12T10:26:26.177892Z" + "iopub.execute_input": "2024-04-22T21:53:52.142798Z", + "iopub.status.busy": "2024-04-22T21:53:52.142611Z", + "iopub.status.idle": "2024-04-22T21:54:18.175876Z", + "shell.execute_reply": "2024-04-22T21:54:18.175231Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:26.181001Z", - "iopub.status.busy": "2024-04-12T10:26:26.180709Z", - "iopub.status.idle": "2024-04-12T10:26:27.256134Z", - "shell.execute_reply": "2024-04-12T10:26:27.255581Z" + "iopub.execute_input": "2024-04-22T21:54:18.178364Z", + "iopub.status.busy": "2024-04-22T21:54:18.177990Z", + "iopub.status.idle": "2024-04-22T21:54:19.258691Z", + "shell.execute_reply": "2024-04-22T21:54:19.258134Z" }, "nbsphinx": "hidden" }, @@ -111,7 +111,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -137,10 +137,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:27.258800Z", - "iopub.status.busy": "2024-04-12T10:26:27.258379Z", - "iopub.status.idle": "2024-04-12T10:26:27.261669Z", - "shell.execute_reply": "2024-04-12T10:26:27.261103Z" + "iopub.execute_input": "2024-04-22T21:54:19.261134Z", + "iopub.status.busy": "2024-04-22T21:54:19.260853Z", + "iopub.status.idle": "2024-04-22T21:54:19.264079Z", + "shell.execute_reply": "2024-04-22T21:54:19.263651Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:27.263783Z", - "iopub.status.busy": "2024-04-12T10:26:27.263466Z", - "iopub.status.idle": "2024-04-12T10:26:27.267133Z", - "shell.execute_reply": "2024-04-12T10:26:27.266705Z" + "iopub.execute_input": "2024-04-22T21:54:19.266111Z", + "iopub.status.busy": "2024-04-22T21:54:19.265801Z", + "iopub.status.idle": "2024-04-22T21:54:19.269562Z", + "shell.execute_reply": "2024-04-22T21:54:19.269062Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:27.269406Z", - "iopub.status.busy": "2024-04-12T10:26:27.268999Z", - "iopub.status.idle": "2024-04-12T10:26:27.272616Z", - "shell.execute_reply": "2024-04-12T10:26:27.272086Z" + "iopub.execute_input": "2024-04-22T21:54:19.271732Z", + "iopub.status.busy": "2024-04-22T21:54:19.271325Z", + "iopub.status.idle": "2024-04-22T21:54:19.274995Z", + "shell.execute_reply": "2024-04-22T21:54:19.274535Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:27.274590Z", - "iopub.status.busy": "2024-04-12T10:26:27.274300Z", - "iopub.status.idle": "2024-04-12T10:26:27.277078Z", - "shell.execute_reply": "2024-04-12T10:26:27.276555Z" + "iopub.execute_input": "2024-04-22T21:54:19.277062Z", + "iopub.status.busy": "2024-04-22T21:54:19.276686Z", + "iopub.status.idle": "2024-04-22T21:54:19.279572Z", + "shell.execute_reply": "2024-04-22T21:54:19.279120Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:27.278993Z", - "iopub.status.busy": "2024-04-12T10:26:27.278705Z", - "iopub.status.idle": "2024-04-12T10:27:00.941139Z", - "shell.execute_reply": "2024-04-12T10:27:00.940519Z" + "iopub.execute_input": "2024-04-22T21:54:19.281671Z", + "iopub.status.busy": "2024-04-22T21:54:19.281283Z", + "iopub.status.idle": "2024-04-22T21:54:53.054859Z", + "shell.execute_reply": "2024-04-22T21:54:53.054243Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7f06238bd8ab4433a0b5aa44c1f04204", + "model_id": "3a5c3f4075c34414a4f0ca30fa9719d5", "version_major": 2, "version_minor": 0 }, @@ -357,7 +357,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d6787cbdf5ee480b8c56d5548fb98447", + "model_id": "3471b75d2ef44fdf9649652bd08a32b1", "version_major": 2, "version_minor": 0 }, @@ -400,10 +400,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:27:00.943823Z", - "iopub.status.busy": "2024-04-12T10:27:00.943407Z", - "iopub.status.idle": "2024-04-12T10:27:01.609659Z", - "shell.execute_reply": "2024-04-12T10:27:01.609127Z" + "iopub.execute_input": "2024-04-22T21:54:53.057556Z", + "iopub.status.busy": "2024-04-22T21:54:53.057154Z", + "iopub.status.idle": "2024-04-22T21:54:53.727331Z", + "shell.execute_reply": "2024-04-22T21:54:53.726783Z" } }, "outputs": [ @@ -446,10 +446,10 @@ "id": "57fed473", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:27:01.611994Z", - "iopub.status.busy": "2024-04-12T10:27:01.611523Z", - "iopub.status.idle": "2024-04-12T10:27:04.327844Z", - "shell.execute_reply": "2024-04-12T10:27:04.327245Z" + "iopub.execute_input": "2024-04-22T21:54:53.729675Z", + "iopub.status.busy": "2024-04-22T21:54:53.729241Z", + "iopub.status.idle": "2024-04-22T21:54:56.456534Z", + "shell.execute_reply": "2024-04-22T21:54:56.456038Z" } }, "outputs": [ @@ -519,17 +519,17 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:27:04.330264Z", - "iopub.status.busy": "2024-04-12T10:27:04.329804Z", - "iopub.status.idle": "2024-04-12T10:27:36.944707Z", - "shell.execute_reply": "2024-04-12T10:27:36.944134Z" + "iopub.execute_input": "2024-04-22T21:54:56.458824Z", + "iopub.status.busy": "2024-04-22T21:54:56.458531Z", + "iopub.status.idle": "2024-04-22T21:55:28.874804Z", + "shell.execute_reply": "2024-04-22T21:55:28.874259Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "38780db575474dadabbc09378f30dbd2", + "model_id": "6027c2cfe03c4dcabcad54caec9d5a83", "version_major": 2, "version_minor": 0 }, @@ -769,10 +769,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:27:36.946860Z", - "iopub.status.busy": "2024-04-12T10:27:36.946678Z", - "iopub.status.idle": "2024-04-12T10:27:51.770612Z", - "shell.execute_reply": "2024-04-12T10:27:51.769974Z" + "iopub.execute_input": "2024-04-22T21:55:28.877126Z", + "iopub.status.busy": "2024-04-22T21:55:28.876730Z", + "iopub.status.idle": "2024-04-22T21:55:43.455474Z", + "shell.execute_reply": "2024-04-22T21:55:43.454911Z" } }, "outputs": [], @@ -786,10 +786,10 @@ "id": "716c74f3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:27:51.773061Z", - "iopub.status.busy": "2024-04-12T10:27:51.772875Z", - "iopub.status.idle": "2024-04-12T10:27:55.558506Z", - "shell.execute_reply": "2024-04-12T10:27:55.557951Z" + "iopub.execute_input": "2024-04-22T21:55:43.458126Z", + "iopub.status.busy": "2024-04-22T21:55:43.457715Z", + "iopub.status.idle": "2024-04-22T21:55:47.115280Z", + "shell.execute_reply": "2024-04-22T21:55:47.114665Z" } }, "outputs": [ @@ -858,17 +858,17 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:27:55.560743Z", - "iopub.status.busy": "2024-04-12T10:27:55.560387Z", - "iopub.status.idle": "2024-04-12T10:27:56.949047Z", - "shell.execute_reply": "2024-04-12T10:27:56.948549Z" + "iopub.execute_input": "2024-04-22T21:55:47.117497Z", + "iopub.status.busy": "2024-04-22T21:55:47.117221Z", + "iopub.status.idle": "2024-04-22T21:55:48.513103Z", + "shell.execute_reply": "2024-04-22T21:55:48.512489Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - 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"iopub.execute_input": "2024-04-12T10:28:05.390887Z", - "iopub.status.busy": "2024-04-12T10:28:05.390476Z", - "iopub.status.idle": "2024-04-12T10:28:07.161439Z", - "shell.execute_reply": "2024-04-12T10:28:07.160860Z" + "iopub.execute_input": "2024-04-22T21:55:57.071212Z", + "iopub.status.busy": "2024-04-22T21:55:57.070842Z", + "iopub.status.idle": "2024-04-22T21:55:58.239716Z", + "shell.execute_reply": "2024-04-22T21:55:58.239143Z" } }, "outputs": [ @@ -86,17 +86,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-12 10:28:05-- https://data.deepai.org/conll2003.zip\r\n", - "Resolving data.deepai.org (data.deepai.org)... 143.244.49.179, 2400:52e0:1a01::1113:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|143.244.49.179|:443... connected.\r\n", - "HTTP request sent, awaiting response... " + "--2024-04-22 21:55:57-- https://data.deepai.org/conll2003.zip\r\n", + "Resolving data.deepai.org (data.deepai.org)... " ] }, { "name": "stdout", "output_type": "stream", "text": [ - "200 OK\r\n", + "185.93.1.244, 2400:52e0:1a00::845:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|185.93.1.244|:443... connected.\r\n", + "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 982975 (960K) [application/zip]\r\n", "Saving to: ‘conll2003.zip’\r\n", "\r\n", @@ -109,9 +109,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K 5.44MB/s in 0.2s \r\n", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", "\r\n", - "2024-04-12 10:28:05 (5.44 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-04-22 21:55:57 (8.65 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -131,22 +131,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-12 10:28:05-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.217.168.129, 3.5.25.18, 52.216.9.75, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.217.168.129|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n" + "--2024-04-22 21:55:57-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.28.151, 52.217.169.97, 16.182.103.49, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.28.151|:443... " ] }, { "name": "stdout", "output_type": "stream", "text": [ + "connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -167,23 +161,7 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 1%[ ] 168.53K 842KB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 8%[> ] 1.45M 3.63MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 52%[=========> ] 8.54M 14.2MB/s " + "pred_probs.npz 39%[======> ] 6.49M 32.4MB/s " ] }, { @@ -191,9 +169,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 100%[===================>] 16.26M 21.9MB/s in 0.7s \r\n", + "pred_probs.npz 100%[===================>] 16.26M 56.4MB/s in 0.3s \r\n", "\r\n", - "2024-04-12 10:28:07 (21.9 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-04-22 21:55:58 (56.4 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -210,10 +188,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:07.163761Z", - "iopub.status.busy": "2024-04-12T10:28:07.163576Z", - "iopub.status.idle": "2024-04-12T10:28:08.370108Z", - "shell.execute_reply": "2024-04-12T10:28:08.369498Z" + "iopub.execute_input": "2024-04-22T21:55:58.242396Z", + "iopub.status.busy": "2024-04-22T21:55:58.242034Z", + "iopub.status.idle": "2024-04-22T21:55:59.455182Z", + "shell.execute_reply": "2024-04-22T21:55:59.454641Z" }, "nbsphinx": "hidden" }, @@ -224,7 +202,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -250,10 +228,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:08.372983Z", - "iopub.status.busy": "2024-04-12T10:28:08.372464Z", - "iopub.status.idle": "2024-04-12T10:28:08.375835Z", - "shell.execute_reply": "2024-04-12T10:28:08.375399Z" + "iopub.execute_input": "2024-04-22T21:55:59.457646Z", + "iopub.status.busy": "2024-04-22T21:55:59.457364Z", + "iopub.status.idle": "2024-04-22T21:55:59.460899Z", + "shell.execute_reply": "2024-04-22T21:55:59.460450Z" } }, "outputs": [], @@ -303,10 +281,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:08.377974Z", - "iopub.status.busy": "2024-04-12T10:28:08.377634Z", - "iopub.status.idle": "2024-04-12T10:28:08.380573Z", - "shell.execute_reply": "2024-04-12T10:28:08.380113Z" + "iopub.execute_input": "2024-04-22T21:55:59.463089Z", + "iopub.status.busy": "2024-04-22T21:55:59.462748Z", + "iopub.status.idle": "2024-04-22T21:55:59.465821Z", + "shell.execute_reply": "2024-04-22T21:55:59.465272Z" }, "nbsphinx": "hidden" }, @@ -324,10 +302,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:08.382549Z", - "iopub.status.busy": "2024-04-12T10:28:08.382232Z", - "iopub.status.idle": "2024-04-12T10:28:17.453178Z", - "shell.execute_reply": "2024-04-12T10:28:17.452640Z" + "iopub.execute_input": "2024-04-22T21:55:59.467925Z", + "iopub.status.busy": "2024-04-22T21:55:59.467525Z", + "iopub.status.idle": "2024-04-22T21:56:08.577604Z", + "shell.execute_reply": "2024-04-22T21:56:08.577121Z" } }, "outputs": [], @@ -401,10 +379,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.455742Z", - "iopub.status.busy": "2024-04-12T10:28:17.455378Z", - "iopub.status.idle": "2024-04-12T10:28:17.460991Z", - "shell.execute_reply": "2024-04-12T10:28:17.460532Z" + "iopub.execute_input": "2024-04-22T21:56:08.580097Z", + "iopub.status.busy": "2024-04-22T21:56:08.579685Z", + "iopub.status.idle": "2024-04-22T21:56:08.585305Z", + "shell.execute_reply": "2024-04-22T21:56:08.584758Z" }, "nbsphinx": "hidden" }, @@ -444,10 +422,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.462929Z", - "iopub.status.busy": "2024-04-12T10:28:17.462607Z", - "iopub.status.idle": "2024-04-12T10:28:17.801642Z", - "shell.execute_reply": "2024-04-12T10:28:17.801097Z" + "iopub.execute_input": "2024-04-22T21:56:08.587395Z", + "iopub.status.busy": "2024-04-22T21:56:08.587082Z", + "iopub.status.idle": "2024-04-22T21:56:08.927057Z", + "shell.execute_reply": "2024-04-22T21:56:08.926485Z" } }, "outputs": [], @@ -484,10 +462,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.804014Z", - "iopub.status.busy": "2024-04-12T10:28:17.803671Z", - "iopub.status.idle": "2024-04-12T10:28:17.808143Z", - "shell.execute_reply": "2024-04-12T10:28:17.807640Z" + "iopub.execute_input": "2024-04-22T21:56:08.929600Z", + "iopub.status.busy": "2024-04-22T21:56:08.929258Z", + "iopub.status.idle": "2024-04-22T21:56:08.933506Z", + "shell.execute_reply": "2024-04-22T21:56:08.933000Z" } }, "outputs": [ @@ -559,10 +537,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.810268Z", - "iopub.status.busy": "2024-04-12T10:28:17.809953Z", - "iopub.status.idle": "2024-04-12T10:28:20.119925Z", - "shell.execute_reply": "2024-04-12T10:28:20.119174Z" + "iopub.execute_input": "2024-04-22T21:56:08.935545Z", + "iopub.status.busy": "2024-04-22T21:56:08.935161Z", + "iopub.status.idle": "2024-04-22T21:56:11.227104Z", + "shell.execute_reply": "2024-04-22T21:56:11.226447Z" } }, "outputs": [], @@ -584,10 +562,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.122955Z", - "iopub.status.busy": "2024-04-12T10:28:20.122406Z", - "iopub.status.idle": "2024-04-12T10:28:20.126579Z", - "shell.execute_reply": "2024-04-12T10:28:20.126020Z" + "iopub.execute_input": "2024-04-22T21:56:11.230044Z", + "iopub.status.busy": "2024-04-22T21:56:11.229493Z", + "iopub.status.idle": "2024-04-22T21:56:11.233931Z", + "shell.execute_reply": "2024-04-22T21:56:11.233447Z" } }, "outputs": [ @@ -623,10 +601,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.128669Z", - "iopub.status.busy": "2024-04-12T10:28:20.128194Z", - "iopub.status.idle": "2024-04-12T10:28:20.133866Z", - "shell.execute_reply": "2024-04-12T10:28:20.133344Z" + "iopub.execute_input": "2024-04-22T21:56:11.235763Z", + "iopub.status.busy": "2024-04-22T21:56:11.235596Z", + "iopub.status.idle": "2024-04-22T21:56:11.240954Z", + "shell.execute_reply": "2024-04-22T21:56:11.240435Z" } }, "outputs": [ @@ -804,10 +782,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.135918Z", - "iopub.status.busy": "2024-04-12T10:28:20.135532Z", - "iopub.status.idle": "2024-04-12T10:28:20.161557Z", - "shell.execute_reply": "2024-04-12T10:28:20.160983Z" + "iopub.execute_input": "2024-04-22T21:56:11.242997Z", + "iopub.status.busy": "2024-04-22T21:56:11.242662Z", + "iopub.status.idle": "2024-04-22T21:56:11.269008Z", + "shell.execute_reply": "2024-04-22T21:56:11.268584Z" } }, "outputs": [ @@ -909,10 +887,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.163556Z", - "iopub.status.busy": "2024-04-12T10:28:20.163243Z", - "iopub.status.idle": "2024-04-12T10:28:20.167818Z", - "shell.execute_reply": "2024-04-12T10:28:20.167340Z" + "iopub.execute_input": "2024-04-22T21:56:11.271132Z", + "iopub.status.busy": "2024-04-22T21:56:11.270805Z", + "iopub.status.idle": "2024-04-22T21:56:11.274756Z", + "shell.execute_reply": "2024-04-22T21:56:11.274231Z" } }, "outputs": [ @@ -986,10 +964,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.169898Z", - "iopub.status.busy": "2024-04-12T10:28:20.169573Z", - "iopub.status.idle": "2024-04-12T10:28:21.560484Z", - "shell.execute_reply": "2024-04-12T10:28:21.559957Z" + "iopub.execute_input": "2024-04-22T21:56:11.276841Z", + "iopub.status.busy": "2024-04-22T21:56:11.276531Z", + "iopub.status.idle": "2024-04-22T21:56:12.692982Z", + "shell.execute_reply": "2024-04-22T21:56:12.692481Z" } }, "outputs": [ @@ -1161,10 +1139,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:21.562475Z", - "iopub.status.busy": "2024-04-12T10:28:21.562299Z", - "iopub.status.idle": "2024-04-12T10:28:21.566506Z", - "shell.execute_reply": "2024-04-12T10:28:21.565956Z" + "iopub.execute_input": "2024-04-22T21:56:12.695262Z", + "iopub.status.busy": "2024-04-22T21:56:12.694870Z", + "iopub.status.idle": "2024-04-22T21:56:12.699061Z", + "shell.execute_reply": "2024-04-22T21:56:12.698593Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/tutorials/clean_learning/index.doctree b/master/.doctrees/tutorials/clean_learning/index.doctree index beccdec6e449aa1333d45f72cf74189fc0070b36..1029fe8b940ef8a8d1fedda14186fc833b15f86c 100644 GIT binary patch delta 62 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self._reset() @staticmethod - def _process_find_label_issues_kwargs(**kwargs: Dict[str, Any]) -> Dict[str, Any]: + def _process_find_label_issues_kwargs(**kwargs) -> Dict[str, Any]: """Searches for keyword arguments that are meant for the CleanLearning.find_label_issues method call diff --git a/master/_sources/cleanlab/datalab/guide/issue_type_description.rst b/master/_sources/cleanlab/datalab/guide/issue_type_description.rst index 84a961075..dcb1171eb 100644 --- a/master/_sources/cleanlab/datalab/guide/issue_type_description.rst +++ b/master/_sources/cleanlab/datalab/guide/issue_type_description.rst @@ -118,10 +118,12 @@ More generally, examples which happen to be duplicated can affect the final mod Non-IID Issue ------------- -Whether the dataset exhibits statistically significant violations of the IID assumption like: changepoints or shift, drift, autocorrelation, etc. The specific form of violation considered is whether the examples are ordered such that almost adjacent examples tend to have more similar feature values. If you care about this check, do **not** first shuffle your dataset -- this check is entirely based on the sequential order of your data. +Whether the overall dataset exhibits statistically significant violations of the IID assumption like: changepoints or shift, drift, autocorrelation, etc. The specific form of violation considered is whether the examples are ordered within the dataset such that almost adjacent examples tend to have more similar feature values. If you care about this check, do **not** first shuffle your dataset -- this check is entirely based on the sequential order of your data. Learn more via our blog: `https://cleanlab.ai/blog/non-iid-detection/ `_ The Non-IID issue is detected based on provided `features` or `knn_graph`. If you do not provide one of these arguments, this type of issue will not be considered. +The Non-IID issue is really a dataset-level check, not a per-datapoint level check (either a dataset violates the IID assumption or it doesn't). The per-datapoint scores returned for Non-IID issues merely highlight which datapoints you might focus on to better understand this dataset-level issue - there is not necessarily something specifically wrong with these specific datapoints. + Mathematically, the **overall** Non-IID score for the dataset is defined as the p-value of a statistical test for whether the distribution of *index-gap* values differs between group A vs. group B defined as follows. For a pair of examples in the dataset `x1, x2`, we define their *index-gap* as the distance between the indices of these examples in the ordering of the data (e.g. if `x1` is the 10th example and `x2` is the 100th example in the dataset, their index-gap is 90). We construct group A from pairs of examples which are amongst the K nearest neighbors of each other, where neighbors are defined based on the provided `knn_graph` or via distances in the space of the provided vector `features` . Group B is constructed from random pairs of examples in the dataset. The Non-IID quality score for each example `x` is defined via a similarly computed p-value but with Group A constructed from the K nearest neighbors of `x` and Group B constructed from random examples from the dataset paired with `x`. Learn more about the math behind this method in our paper: `Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors `_ diff --git a/master/_sources/tutorials/clean_learning/tabular.ipynb b/master/_sources/tutorials/clean_learning/tabular.ipynb index 0a650e172..3c94e30af 100644 --- a/master/_sources/tutorials/clean_learning/tabular.ipynb +++ b/master/_sources/tutorials/clean_learning/tabular.ipynb @@ -120,7 +120,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/clean_learning/text.ipynb b/master/_sources/tutorials/clean_learning/text.ipynb index 34167bfad..8c324c5db 100644 --- a/master/_sources/tutorials/clean_learning/text.ipynb +++ b/master/_sources/tutorials/clean_learning/text.ipynb @@ -129,7 +129,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/audio.ipynb b/master/_sources/tutorials/datalab/audio.ipynb index 066e6b2f9..6bec6d69f 100644 --- a/master/_sources/tutorials/datalab/audio.ipynb +++ b/master/_sources/tutorials/datalab/audio.ipynb @@ -91,7 +91,7 @@ "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\" \n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/data_monitor.ipynb b/master/_sources/tutorials/datalab/data_monitor.ipynb index fa6381239..5ec9581e3 100644 --- a/master/_sources/tutorials/datalab/data_monitor.ipynb +++ b/master/_sources/tutorials/datalab/data_monitor.ipynb @@ -71,7 +71,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/datalab_advanced.ipynb b/master/_sources/tutorials/datalab/datalab_advanced.ipynb index fffa0125f..4cdbf620a 100644 --- a/master/_sources/tutorials/datalab/datalab_advanced.ipynb +++ b/master/_sources/tutorials/datalab/datalab_advanced.ipynb @@ -87,7 +87,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/datalab_quickstart.ipynb b/master/_sources/tutorials/datalab/datalab_quickstart.ipynb index dab77d59d..05de9b8a1 100644 --- a/master/_sources/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/_sources/tutorials/datalab/datalab_quickstart.ipynb @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/image.ipynb b/master/_sources/tutorials/datalab/image.ipynb index fe63052a9..39bf5d7bc 100644 --- a/master/_sources/tutorials/datalab/image.ipynb +++ b/master/_sources/tutorials/datalab/image.ipynb @@ -57,7 +57,7 @@ "You can use `pip` to install all packages required for this tutorial as follows:\n", "\n", "```ipython3\n", - "!pip install matplotlib torch torchvision datasets\n", + "!pip install matplotlib torch torchvision datasets>=2.19.0\n", "!pip install \"cleanlab[image]\"\n", "# We install cleanlab with extra dependencies for image data\n", "# Make sure to install the version corresponding to this tutorial\n", @@ -173,7 +173,7 @@ "\n", "# Apply transformations\n", "def normalize(example):\n", - " example[\"image\"] = (example[\"image\"] / 255.0).unsqueeze(0)\n", + " example[\"image\"] = (example[\"image\"] / 255.0) # each pixel value was originally between 0 and 255 \n", " return example\n", "\n", "\n", diff --git a/master/_sources/tutorials/datalab/tabular.ipynb b/master/_sources/tutorials/datalab/tabular.ipynb index 1e5791645..0ea4a041c 100644 --- a/master/_sources/tutorials/datalab/tabular.ipynb +++ b/master/_sources/tutorials/datalab/tabular.ipynb @@ -80,7 +80,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/text.ipynb b/master/_sources/tutorials/datalab/text.ipynb index 4b795de80..6a67699a6 100644 --- a/master/_sources/tutorials/datalab/text.ipynb +++ b/master/_sources/tutorials/datalab/text.ipynb @@ -90,7 +90,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/dataset_health.ipynb b/master/_sources/tutorials/dataset_health.ipynb index 956d2c1f2..717272a09 100644 --- a/master/_sources/tutorials/dataset_health.ipynb +++ b/master/_sources/tutorials/dataset_health.ipynb @@ -79,7 +79,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/indepth_overview.ipynb b/master/_sources/tutorials/indepth_overview.ipynb index b08057a25..937d28513 100644 --- a/master/_sources/tutorials/indepth_overview.ipynb +++ b/master/_sources/tutorials/indepth_overview.ipynb @@ -62,7 +62,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/multiannotator.ipynb b/master/_sources/tutorials/multiannotator.ipynb index cbe9f390b..69465ed87 100644 --- a/master/_sources/tutorials/multiannotator.ipynb +++ b/master/_sources/tutorials/multiannotator.ipynb @@ -95,7 +95,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/multilabel_classification.ipynb b/master/_sources/tutorials/multilabel_classification.ipynb index 6a7ae4373..cce7f69a5 100644 --- a/master/_sources/tutorials/multilabel_classification.ipynb +++ b/master/_sources/tutorials/multilabel_classification.ipynb @@ -73,7 +73,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/object_detection.ipynb b/master/_sources/tutorials/object_detection.ipynb index e253b5ce3..a8b1c13a3 100644 --- a/master/_sources/tutorials/object_detection.ipynb +++ b/master/_sources/tutorials/object_detection.ipynb @@ -77,7 +77,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/outliers.ipynb b/master/_sources/tutorials/outliers.ipynb index b3710281e..1b95d6117 100644 --- a/master/_sources/tutorials/outliers.ipynb +++ b/master/_sources/tutorials/outliers.ipynb @@ -119,7 +119,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/regression.ipynb b/master/_sources/tutorials/regression.ipynb index 17fefe1eb..897ab6748 100644 --- a/master/_sources/tutorials/regression.ipynb +++ b/master/_sources/tutorials/regression.ipynb @@ -110,7 +110,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/segmentation.ipynb b/master/_sources/tutorials/segmentation.ipynb index 331d081b3..50fb23a4d 100644 --- a/master/_sources/tutorials/segmentation.ipynb +++ b/master/_sources/tutorials/segmentation.ipynb @@ -91,7 +91,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/token_classification.ipynb b/master/_sources/tutorials/token_classification.ipynb index 549f934af..454fe2904 100644 --- a/master/_sources/tutorials/token_classification.ipynb +++ b/master/_sources/tutorials/token_classification.ipynb @@ -95,7 +95,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/cleanlab/datalab/guide/issue_type_description.html b/master/cleanlab/datalab/guide/issue_type_description.html index 8d580cb27..dfa8ec901 100644 --- a/master/cleanlab/datalab/guide/issue_type_description.html +++ b/master/cleanlab/datalab/guide/issue_type_description.html @@ -689,8 +689,9 @@

(Near) Duplicate Issue

Non-IID Issue#

-

Whether the dataset exhibits statistically significant violations of the IID assumption like: changepoints or shift, drift, autocorrelation, etc. The specific form of violation considered is whether the examples are ordered such that almost adjacent examples tend to have more similar feature values. If you care about this check, do not first shuffle your dataset – this check is entirely based on the sequential order of your data.

+

Whether the overall dataset exhibits statistically significant violations of the IID assumption like: changepoints or shift, drift, autocorrelation, etc. The specific form of violation considered is whether the examples are ordered within the dataset such that almost adjacent examples tend to have more similar feature values. If you care about this check, do not first shuffle your dataset – this check is entirely based on the sequential order of your data. Learn more via our blog: https://cleanlab.ai/blog/non-iid-detection/

The Non-IID issue is detected based on provided features or knn_graph. If you do not provide one of these arguments, this type of issue will not be considered.

+

The Non-IID issue is really a dataset-level check, not a per-datapoint level check (either a dataset violates the IID assumption or it doesn’t). The per-datapoint scores returned for Non-IID issues merely highlight which datapoints you might focus on to better understand this dataset-level issue - there is not necessarily something specifically wrong with these specific datapoints.

Mathematically, the overall Non-IID score for the dataset is defined as the p-value of a statistical test for whether the distribution of index-gap values differs between group A vs. group B defined as follows. For a pair of examples in the dataset x1, x2, we define their index-gap as the distance between the indices of these examples in the ordering of the data (e.g. if x1 is the 10th example and x2 is the 100th example in the dataset, their index-gap is 90). We construct group A from pairs of examples which are amongst the K nearest neighbors of each other, where neighbors are defined based on the provided knn_graph or via distances in the space of the provided vector features . Group B is constructed from random pairs of examples in the dataset.

The Non-IID quality score for each example x is defined via a similarly computed p-value but with Group A constructed from the K nearest neighbors of x and Group B constructed from random examples from the dataset paired with x. Learn more about the math behind this method in our paper: Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors

The assumption that examples in a dataset are Independent and Identically Distributed (IID) is fundamental to most proper modeling. Detecting all possible violations of the IID assumption is statistically impossible. This issue type only considers specific forms of violation where examples that tend to be closer together in the dataset ordering also tend to have more similar feature values. This includes scenarios where:

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"null-issue"]], "Data Valuation Issue": [[10, "data-valuation-issue"]], "Optional Issue Parameters": [[10, "optional-issue-parameters"]], "Label Issue Parameters": [[10, "label-issue-parameters"]], "Outlier Issue Parameters": [[10, "outlier-issue-parameters"]], "Duplicate Issue Parameters": [[10, "duplicate-issue-parameters"]], "Non-IID Issue Parameters": [[10, "non-iid-issue-parameters"]], "Imbalance Issue Parameters": [[10, "imbalance-issue-parameters"]], "Underperforming Group Issue Parameters": [[10, "underperforming-group-issue-parameters"]], "Null Issue Parameters": [[10, "null-issue-parameters"]], "Data Valuation Issue Parameters": [[10, "data-valuation-issue-parameters"]], "Image Issue Parameters": [[10, "image-issue-parameters"]], "Getting Started": [[11, "getting-started"]], "Guides": [[11, "guides"]], "API Reference": [[11, "api-reference"]], "data": [[12, "module-cleanlab.datalab.internal.data"]], "data_issues": [[13, "module-cleanlab.datalab.internal.data_issues"]], "factory": [[14, "module-cleanlab.datalab.internal.issue_manager_factory"]], "internal": [[15, "internal"], [44, "internal"]], "issue_finder": [[16, "issue-finder"]], "duplicate": [[19, "module-cleanlab.datalab.internal.issue_manager.duplicate"]], "imbalance": [[20, "module-cleanlab.datalab.internal.issue_manager.imbalance"]], "issue_manager": [[21, "issue-manager"], [22, "module-cleanlab.datalab.internal.issue_manager.issue_manager"]], "Registered issue managers": [[21, "registered-issue-managers"]], "ML task-specific issue managers": [[21, "ml-task-specific-issue-managers"]], "label": [[23, "module-cleanlab.datalab.internal.issue_manager.label"], [25, "module-cleanlab.datalab.internal.issue_manager.multilabel.label"], [30, "module-cleanlab.datalab.internal.issue_manager.regression.label"]], "multilabel": [[24, "multilabel"]], "noniid": [[26, "module-cleanlab.datalab.internal.issue_manager.noniid"]], "null": [[27, "null"]], "outlier": [[28, "module-cleanlab.datalab.internal.issue_manager.outlier"], [50, "module-cleanlab.internal.outlier"], [66, "module-cleanlab.outlier"]], "regression": [[29, "regression"], [68, "regression"]], "Priority Order for finding issues:": [[30, null]], "underperforming_group": [[31, "underperforming-group"]], "model_outputs": [[32, "module-cleanlab.datalab.internal.model_outputs"]], "report": [[33, "report"]], "task": [[34, "task"]], "dataset": [[36, "module-cleanlab.dataset"], [58, "module-cleanlab.multilabel_classification.dataset"]], "cifar_cnn": [[37, "module-cleanlab.experimental.cifar_cnn"]], "coteaching": [[38, "module-cleanlab.experimental.coteaching"]], "experimental": [[39, "experimental"]], "label_issues_batched": [[40, "module-cleanlab.experimental.label_issues_batched"]], "mnist_pytorch": [[41, "module-cleanlab.experimental.mnist_pytorch"]], "span_classification": [[42, "module-cleanlab.experimental.span_classification"]], "filter": [[43, "module-cleanlab.filter"], [59, "module-cleanlab.multilabel_classification.filter"], [62, "filter"], [71, "filter"], [75, "module-cleanlab.token_classification.filter"]], "label_quality_utils": [[45, "module-cleanlab.internal.label_quality_utils"]], "latent_algebra": [[46, "module-cleanlab.internal.latent_algebra"]], "multiannotator_utils": [[47, "module-cleanlab.internal.multiannotator_utils"]], "multilabel_scorer": [[48, "module-cleanlab.internal.multilabel_scorer"]], "multilabel_utils": [[49, "module-cleanlab.internal.multilabel_utils"]], "token_classification_utils": [[51, "module-cleanlab.internal.token_classification_utils"]], "util": [[52, "module-cleanlab.internal.util"]], "validation": [[53, "module-cleanlab.internal.validation"]], "fasttext": [[54, "fasttext"]], "models": [[55, "models"]], "keras": [[56, "module-cleanlab.models.keras"]], "multiannotator": [[57, "module-cleanlab.multiannotator"]], "multilabel_classification": [[60, "multilabel-classification"]], "rank": [[61, "module-cleanlab.multilabel_classification.rank"], [64, "module-cleanlab.object_detection.rank"], [67, "module-cleanlab.rank"], [73, "module-cleanlab.segmentation.rank"], [77, "module-cleanlab.token_classification.rank"]], "object_detection": [[63, "object-detection"]], "summary": [[65, "summary"], [74, "module-cleanlab.segmentation.summary"], [78, "module-cleanlab.token_classification.summary"]], "regression.learn": [[69, "module-cleanlab.regression.learn"]], "regression.rank": [[70, "module-cleanlab.regression.rank"]], "segmentation": [[72, "segmentation"]], "token_classification": [[76, "token-classification"]], "cleanlab open-source documentation": [[79, "cleanlab-open-source-documentation"]], "Quickstart": [[79, "quickstart"]], "1. Install cleanlab": [[79, "install-cleanlab"]], "2. Find common issues in your data": [[79, "find-common-issues-in-your-data"]], "3. Handle label errors and train robust models with noisy labels": [[79, "handle-label-errors-and-train-robust-models-with-noisy-labels"]], "4. Dataset curation: fix dataset-level issues": [[79, "dataset-curation-fix-dataset-level-issues"]], "5. Improve your data via many other techniques": [[79, "improve-your-data-via-many-other-techniques"]], "Contributing": [[79, "contributing"]], "Easy Mode": [[79, "easy-mode"], [88, "Easy-Mode"], [90, "Easy-Mode"], [91, "Easy-Mode"]], "How to migrate to versions >= 2.0.0 from pre 1.0.1": [[80, "how-to-migrate-to-versions-2-0-0-from-pre-1-0-1"]], "Function and class name changes": [[80, "function-and-class-name-changes"]], "Module name changes": [[80, "module-name-changes"]], "New modules": [[80, "new-modules"]], "Removed modules": [[80, "removed-modules"]], "Common argument and variable name changes": [[80, "common-argument-and-variable-name-changes"]], "CleanLearning Tutorials": [[81, "cleanlearning-tutorials"]], "Classification with Structured/Tabular Data and Noisy Labels": [[82, "Classification-with-Structured/Tabular-Data-and-Noisy-Labels"]], "1. Install required dependencies": [[82, "1.-Install-required-dependencies"], [83, "1.-Install-required-dependencies"], [90, "1.-Install-required-dependencies"], [91, "1.-Install-required-dependencies"], [101, "1.-Install-required-dependencies"]], "2. Load and process the data": [[82, "2.-Load-and-process-the-data"], [90, "2.-Load-and-process-the-data"], [101, "2.-Load-and-process-the-data"]], "3. Select a classification model and compute out-of-sample predicted probabilities": [[82, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"], [90, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find label issues": [[82, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[82, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[83, "Text-Classification-with-Noisy-Labels"]], "2. Load and format the text dataset": [[83, "2.-Load-and-format-the-text-dataset"], [91, "2.-Load-and-format-the-text-dataset"]], "3. Define a classification model and use cleanlab to find potential label errors": [[83, "3.-Define-a-classification-model-and-use-cleanlab-to-find-potential-label-errors"]], "4. Train a more robust model from noisy labels": [[83, "4.-Train-a-more-robust-model-from-noisy-labels"], [101, "4.-Train-a-more-robust-model-from-noisy-labels"]], "Detecting Issues in an Audio Dataset with Datalab": [[84, "Detecting-Issues-in-an-Audio-Dataset-with-Datalab"]], "1. Install dependencies and import them": [[84, "1.-Install-dependencies-and-import-them"]], "2. Load the data": [[84, "2.-Load-the-data"]], "3. Use pre-trained SpeechBrain model to featurize audio": [[84, "3.-Use-pre-trained-SpeechBrain-model-to-featurize-audio"]], "4. Fit linear model and compute out-of-sample predicted probabilities": [[84, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[84, "5.-Use-cleanlab-to-find-label-issues"], [90, "5.-Use-cleanlab-to-find-label-issues"]], "DataMonitor: Leverage statistics from Datalab to audit new data": [[85, "DataMonitor:-Leverage-statistics-from-Datalab-to-audit-new-data"]], "1. Install and import required dependencies": [[85, "1.-Install-and-import-required-dependencies"], [87, "1.-Install-and-import-required-dependencies"], [88, "1.-Install-and-import-required-dependencies"], [96, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[85, "2.-Create-and-load-the-data-(can-skip-these-details)"], [87, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[85, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"], [87, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[85, "4.-Use-Datalab-to-find-issues-in-the-dataset"], [87, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. Use DataMonitor to find issues in new data": [[85, "5.-Use-DataMonitor-to-find-issues-in-new-data"]], "6. Learn more about the issues in the additional data": [[85, "6.-Learn-more-about-the-issues-in-the-additional-data"]], "Datalab: Advanced workflows to audit your data": [[86, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[86, "Install-and-import-required-dependencies"]], "Create and load the data": [[86, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[86, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[86, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[86, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[86, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[86, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[86, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[87, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "5. Learn more about the issues in your dataset": [[87, "5.-Learn-more-about-the-issues-in-your-dataset"]], "Get additional information": [[87, "Get-additional-information"]], "Near duplicate issues": [[87, "Near-duplicate-issues"], [88, "Near-duplicate-issues"]], "Detecting Issues in an Image Dataset with Datalab": [[88, "Detecting-Issues-in-an-Image-Dataset-with-Datalab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[88, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[88, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[88, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[88, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[88, "7.-Use-cleanlab-to-find-issues"]], "View report": [[88, "View-report"]], "Label issues": [[88, "Label-issues"], [90, "Label-issues"], [91, "Label-issues"]], "View most likely examples with label errors": [[88, "View-most-likely-examples-with-label-errors"]], "Outlier issues": [[88, "Outlier-issues"], [90, "Outlier-issues"], [91, "Outlier-issues"]], "View most severe outliers": [[88, "View-most-severe-outliers"]], "View sets of near duplicate images": [[88, "View-sets-of-near-duplicate-images"]], "Dark images": [[88, "Dark-images"]], "View top examples of dark images": [[88, "View-top-examples-of-dark-images"]], "Low information images": [[88, "Low-information-images"]], "Datalab Tutorials": [[89, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[90, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "4. Construct K nearest neighbours graph": [[90, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[90, "Near-duplicate-issues"], [91, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[91, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[91, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[91, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[91, "Non-IID-issues-(data-drift)"]], "Understanding Dataset-level Labeling Issues": [[92, "Understanding-Dataset-level-Labeling-Issues"]], "Install dependencies and import them": [[92, "Install-dependencies-and-import-them"], [94, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[92, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[92, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[93, "FAQ"]], "What data can cleanlab detect issues in?": [[93, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[93, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[93, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[93, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[93, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[93, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[93, "How-can-I-use-different-models-for-data-cleaning-vs.-final-training-in-CleanLearning?"]], "How do I hyperparameter tune only the final model trained (and not the one finding label issues) in CleanLearning?": [[93, "How-do-I-hyperparameter-tune-only-the-final-model-trained-(and-not-the-one-finding-label-issues)-in-CleanLearning?"]], "Why does regression.learn.CleanLearning take so long?": [[93, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[93, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by cleanlab?": [[93, "How-to-handle-near-duplicate-data-identified-by-cleanlab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[93, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[93, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[93, "Can't-find-an-answer-to-your-question?"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[94, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[94, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[94, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[94, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[94, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[94, "Workflow-3:-Use-CleanLearning-to-find_label_issues-in-one-line-of-code"]], "Visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[94, "Visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 4: Use cleanlab to find dataset-level and class-level issues": [[94, "Workflow-4:-Use-cleanlab-to-find-dataset-level-and-class-level-issues"]], "Now, let\u2019s see what happens if we merge classes \u201cseafoam green\u201d and \u201cyellow\u201d": [[94, "Now,-let's-see-what-happens-if-we-merge-classes-%22seafoam-green%22-and-%22yellow%22"]], "Workflow 5: Clean your test set too if you\u2019re doing ML with noisy labels!": [[94, "Workflow-5:-Clean-your-test-set-too-if-you're-doing-ML-with-noisy-labels!"]], "Workflow 6: One score to rule them all \u2013 use cleanlab\u2019s overall dataset health score": [[94, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[94, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[94, "Workflow(s)-7:-Use-count,-rank,-filter-modules-directly"]], "Workflow 7.1 (count): Fully characterize label noise (noise matrix, joint, prior of true labels, \u2026)": [[94, "Workflow-7.1-(count):-Fully-characterize-label-noise-(noise-matrix,-joint,-prior-of-true-labels,-...)"]], "Use cleanlab to estimate and visualize the joint distribution of label noise and noise matrix of label flipping rates:": [[94, "Use-cleanlab-to-estimate-and-visualize-the-joint-distribution-of-label-noise-and-noise-matrix-of-label-flipping-rates:"]], "Workflow 7.2 (filter): Find label issues for any dataset and any model in one line of code": [[94, "Workflow-7.2-(filter):-Find-label-issues-for-any-dataset-and-any-model-in-one-line-of-code"]], "Again, we can visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[94, "Again,-we-can-visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 7.2 supports lots of methods to find_label_issues() via the filter_by parameter.": [[94, "Workflow-7.2-supports-lots-of-methods-to-find_label_issues()-via-the-filter_by-parameter."]], "Workflow 7.3 (rank): Automatically rank every example by a unique label quality score. Find errors using cleanlab.count.num_label_issues as a threshold.": [[94, "Workflow-7.3-(rank):-Automatically-rank-every-example-by-a-unique-label-quality-score.-Find-errors-using-cleanlab.count.num_label_issues-as-a-threshold."]], "Again, we can visualize the label issues found to see if Cleanlab works.": [[94, "Again,-we-can-visualize-the-label-issues-found-to-see-if-Cleanlab-works."]], "Not sure when to use Workflow 7.2 or 7.3 to find label issues?": [[94, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[94, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[95, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[96, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[96, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[96, "3.-Get-initial-consensus-labels-via-majority-vote-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to get better consensus labels and other statistics": [[96, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[96, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[96, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[96, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[96, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[96, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[97, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[97, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[97, "2.-Format-data,-labels,-and-model-predictions"], [98, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[97, "3.-Use-cleanlab-to-find-label-issues"], [98, "3.-Use-cleanlab-to-find-label-issues"], [102, "3.-Use-cleanlab-to-find-label-issues"], [103, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[97, "Label-quality-scores"]], "Data issues beyond mislabeling (outliers, duplicates, drift, \u2026)": [[97, "Data-issues-beyond-mislabeling-(outliers,-duplicates,-drift,-...)"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[97, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Estimate label issues without Datalab": [[97, "Estimate-label-issues-without-Datalab"]], "Application to Real Data": [[97, "Application-to-Real-Data"]], "Finding Label Errors in Object Detection Datasets": [[98, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[98, "1.-Install-required-dependencies-and-download-data"], [102, "1.-Install-required-dependencies-and-download-data"], [103, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[98, "Get-label-quality-scores"], [102, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[98, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[98, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[98, "Other-uses-of-visualize"]], "Exploratory data analysis": [[98, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[99, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[99, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[99, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[99, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[99, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[99, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[100, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[100, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[100, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[101, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[101, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[101, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[102, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[102, "2.-Get-data,-labels,-and-pred_probs"], [103, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[102, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[102, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[102, "Focusing-on-one-specific-class"]], "Find Label Errors in Token Classification (Text) Datasets": [[103, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[103, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[103, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[103, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[103, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": 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Load and format the text dataset": [[83, "2.-Load-and-format-the-text-dataset"], [91, "2.-Load-and-format-the-text-dataset"]], "3. Define a classification model and use cleanlab to find potential label errors": [[83, "3.-Define-a-classification-model-and-use-cleanlab-to-find-potential-label-errors"]], "4. Train a more robust model from noisy labels": [[83, "4.-Train-a-more-robust-model-from-noisy-labels"], [101, "4.-Train-a-more-robust-model-from-noisy-labels"]], "Detecting Issues in an Audio Dataset with Datalab": [[84, "Detecting-Issues-in-an-Audio-Dataset-with-Datalab"]], "1. Install dependencies and import them": [[84, "1.-Install-dependencies-and-import-them"]], "2. Load the data": [[84, "2.-Load-the-data"]], "3. Use pre-trained SpeechBrain model to featurize audio": [[84, "3.-Use-pre-trained-SpeechBrain-model-to-featurize-audio"]], "4. Fit linear model and compute out-of-sample predicted probabilities": [[84, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[84, "5.-Use-cleanlab-to-find-label-issues"], [90, "5.-Use-cleanlab-to-find-label-issues"]], "DataMonitor: Leverage statistics from Datalab to audit new data": [[85, "DataMonitor:-Leverage-statistics-from-Datalab-to-audit-new-data"]], "1. Install and import required dependencies": [[85, "1.-Install-and-import-required-dependencies"], [87, "1.-Install-and-import-required-dependencies"], [88, "1.-Install-and-import-required-dependencies"], [96, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[85, "2.-Create-and-load-the-data-(can-skip-these-details)"], [87, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[85, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"], [87, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[85, "4.-Use-Datalab-to-find-issues-in-the-dataset"], [87, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. Use DataMonitor to find issues in new data": [[85, "5.-Use-DataMonitor-to-find-issues-in-new-data"]], "6. Learn more about the issues in the additional data": [[85, "6.-Learn-more-about-the-issues-in-the-additional-data"]], "Datalab: Advanced workflows to audit your data": [[86, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[86, "Install-and-import-required-dependencies"]], "Create and load the data": [[86, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[86, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[86, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[86, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[86, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[86, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[86, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[87, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "5. Learn more about the issues in your dataset": [[87, "5.-Learn-more-about-the-issues-in-your-dataset"]], "Get additional information": [[87, "Get-additional-information"]], "Near duplicate issues": [[87, "Near-duplicate-issues"], [88, "Near-duplicate-issues"]], "Detecting Issues in an Image Dataset with Datalab": [[88, "Detecting-Issues-in-an-Image-Dataset-with-Datalab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[88, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[88, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[88, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[88, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[88, "7.-Use-cleanlab-to-find-issues"]], "View report": [[88, "View-report"]], "Label issues": [[88, "Label-issues"], [90, "Label-issues"], [91, "Label-issues"]], "View most likely examples with label errors": [[88, "View-most-likely-examples-with-label-errors"]], "Outlier issues": [[88, "Outlier-issues"], [90, "Outlier-issues"], [91, "Outlier-issues"]], "View most severe outliers": [[88, "View-most-severe-outliers"]], "View sets of near duplicate images": [[88, "View-sets-of-near-duplicate-images"]], "Dark images": [[88, "Dark-images"]], "View top examples of dark images": [[88, "View-top-examples-of-dark-images"]], "Low information images": [[88, "Low-information-images"]], "Datalab Tutorials": [[89, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[90, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "4. Construct K nearest neighbours graph": [[90, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[90, "Near-duplicate-issues"], [91, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[91, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[91, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[91, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[91, "Non-IID-issues-(data-drift)"]], "Understanding Dataset-level Labeling Issues": [[92, "Understanding-Dataset-level-Labeling-Issues"]], "Install dependencies and import them": [[92, "Install-dependencies-and-import-them"], [94, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[92, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[92, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[93, "FAQ"]], "What data can cleanlab detect issues in?": [[93, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[93, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[93, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[93, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[93, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[93, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[93, "How-can-I-use-different-models-for-data-cleaning-vs.-final-training-in-CleanLearning?"]], "How do I hyperparameter tune only the final model trained (and not the one finding label issues) in CleanLearning?": [[93, "How-do-I-hyperparameter-tune-only-the-final-model-trained-(and-not-the-one-finding-label-issues)-in-CleanLearning?"]], "Why does regression.learn.CleanLearning take so long?": [[93, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[93, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by cleanlab?": [[93, "How-to-handle-near-duplicate-data-identified-by-cleanlab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[93, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[93, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[93, "Can't-find-an-answer-to-your-question?"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[94, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[94, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[94, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[94, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[94, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[94, "Workflow-3:-Use-CleanLearning-to-find_label_issues-in-one-line-of-code"]], "Visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[94, "Visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 4: Use cleanlab to find dataset-level and class-level issues": [[94, "Workflow-4:-Use-cleanlab-to-find-dataset-level-and-class-level-issues"]], "Now, let\u2019s see what happens if we merge classes \u201cseafoam green\u201d and \u201cyellow\u201d": [[94, "Now,-let's-see-what-happens-if-we-merge-classes-%22seafoam-green%22-and-%22yellow%22"]], "Workflow 5: Clean your test set too if you\u2019re doing ML with noisy labels!": [[94, "Workflow-5:-Clean-your-test-set-too-if-you're-doing-ML-with-noisy-labels!"]], "Workflow 6: One score to rule them all \u2013 use cleanlab\u2019s overall dataset health score": [[94, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[94, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[94, "Workflow(s)-7:-Use-count,-rank,-filter-modules-directly"]], "Workflow 7.1 (count): Fully characterize label noise (noise matrix, joint, prior of true labels, \u2026)": [[94, "Workflow-7.1-(count):-Fully-characterize-label-noise-(noise-matrix,-joint,-prior-of-true-labels,-...)"]], "Use cleanlab to estimate and visualize the joint distribution of label noise and noise matrix of label flipping rates:": [[94, "Use-cleanlab-to-estimate-and-visualize-the-joint-distribution-of-label-noise-and-noise-matrix-of-label-flipping-rates:"]], "Workflow 7.2 (filter): Find label issues for any dataset and any model in one line of code": [[94, "Workflow-7.2-(filter):-Find-label-issues-for-any-dataset-and-any-model-in-one-line-of-code"]], "Again, we can visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[94, "Again,-we-can-visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 7.2 supports lots of methods to find_label_issues() via the filter_by parameter.": [[94, "Workflow-7.2-supports-lots-of-methods-to-find_label_issues()-via-the-filter_by-parameter."]], "Workflow 7.3 (rank): Automatically rank every example by a unique label quality score. Find errors using cleanlab.count.num_label_issues as a threshold.": [[94, "Workflow-7.3-(rank):-Automatically-rank-every-example-by-a-unique-label-quality-score.-Find-errors-using-cleanlab.count.num_label_issues-as-a-threshold."]], "Again, we can visualize the label issues found to see if Cleanlab works.": [[94, "Again,-we-can-visualize-the-label-issues-found-to-see-if-Cleanlab-works."]], "Not sure when to use Workflow 7.2 or 7.3 to find label issues?": [[94, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[94, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[95, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[96, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[96, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[96, "3.-Get-initial-consensus-labels-via-majority-vote-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to get better consensus labels and other statistics": [[96, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[96, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[96, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[96, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[96, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[96, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[97, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[97, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[97, "2.-Format-data,-labels,-and-model-predictions"], [98, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[97, "3.-Use-cleanlab-to-find-label-issues"], [98, "3.-Use-cleanlab-to-find-label-issues"], [102, "3.-Use-cleanlab-to-find-label-issues"], [103, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[97, "Label-quality-scores"]], "Data issues beyond mislabeling (outliers, duplicates, drift, \u2026)": [[97, "Data-issues-beyond-mislabeling-(outliers,-duplicates,-drift,-...)"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[97, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Estimate label issues without Datalab": [[97, "Estimate-label-issues-without-Datalab"]], "Application to Real Data": [[97, "Application-to-Real-Data"]], "Finding Label Errors in Object Detection Datasets": [[98, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[98, "1.-Install-required-dependencies-and-download-data"], [102, "1.-Install-required-dependencies-and-download-data"], [103, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[98, "Get-label-quality-scores"], [102, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[98, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[98, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[98, "Other-uses-of-visualize"]], "Exploratory data analysis": [[98, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[99, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[99, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[99, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[99, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[99, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[99, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[100, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[100, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[100, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[101, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[101, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[101, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[102, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[102, "2.-Get-data,-labels,-and-pred_probs"], [103, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[102, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[102, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[102, "Focusing-on-one-specific-class"]], "Find Label Errors in Token Classification (Text) Datasets": [[103, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[103, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[103, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[103, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[103, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": 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cleanlab.token_classification.summary)": [[78, "cleanlab.token_classification.summary.filter_by_token"]]}}) \ No newline at end of file diff --git a/master/tutorials/clean_learning/tabular.ipynb b/master/tutorials/clean_learning/tabular.ipynb index 327235679..d5fcefd4f 100644 --- a/master/tutorials/clean_learning/tabular.ipynb +++ b/master/tutorials/clean_learning/tabular.ipynb @@ -113,10 +113,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:51.639375Z", - "iopub.status.busy": "2024-04-12T10:16:51.639209Z", - "iopub.status.idle": "2024-04-12T10:16:52.812960Z", - "shell.execute_reply": "2024-04-12T10:16:52.812403Z" + "iopub.execute_input": "2024-04-22T21:45:23.453506Z", + "iopub.status.busy": "2024-04-22T21:45:23.453332Z", + "iopub.status.idle": "2024-04-22T21:45:24.640462Z", + "shell.execute_reply": "2024-04-22T21:45:24.639799Z" }, "nbsphinx": "hidden" }, @@ -126,7 +126,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -151,10 +151,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:52.815476Z", - "iopub.status.busy": "2024-04-12T10:16:52.815210Z", - "iopub.status.idle": "2024-04-12T10:16:52.833957Z", - "shell.execute_reply": "2024-04-12T10:16:52.833546Z" + "iopub.execute_input": "2024-04-22T21:45:24.643334Z", + "iopub.status.busy": "2024-04-22T21:45:24.642963Z", + "iopub.status.idle": "2024-04-22T21:45:24.662460Z", + "shell.execute_reply": "2024-04-22T21:45:24.661999Z" } }, "outputs": [], @@ -195,10 +195,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:52.836095Z", - "iopub.status.busy": "2024-04-12T10:16:52.835855Z", - "iopub.status.idle": "2024-04-12T10:16:53.099357Z", - "shell.execute_reply": "2024-04-12T10:16:53.098786Z" + "iopub.execute_input": "2024-04-22T21:45:24.664875Z", + "iopub.status.busy": "2024-04-22T21:45:24.664482Z", + "iopub.status.idle": "2024-04-22T21:45:24.859334Z", + "shell.execute_reply": "2024-04-22T21:45:24.858742Z" } }, "outputs": [ @@ -305,10 +305,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:53.130290Z", - "iopub.status.busy": "2024-04-12T10:16:53.130059Z", - "iopub.status.idle": "2024-04-12T10:16:53.133694Z", - "shell.execute_reply": "2024-04-12T10:16:53.133252Z" + "iopub.execute_input": "2024-04-22T21:45:24.890700Z", + "iopub.status.busy": "2024-04-22T21:45:24.890311Z", + "iopub.status.idle": "2024-04-22T21:45:24.894165Z", + "shell.execute_reply": "2024-04-22T21:45:24.893628Z" } }, "outputs": [], @@ -329,10 +329,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:53.135689Z", - "iopub.status.busy": "2024-04-12T10:16:53.135511Z", - "iopub.status.idle": "2024-04-12T10:16:53.143874Z", - "shell.execute_reply": "2024-04-12T10:16:53.143427Z" + "iopub.execute_input": "2024-04-22T21:45:24.896344Z", + "iopub.status.busy": "2024-04-22T21:45:24.895922Z", + "iopub.status.idle": "2024-04-22T21:45:24.904435Z", + "shell.execute_reply": "2024-04-22T21:45:24.904008Z" } }, "outputs": [], @@ -384,10 +384,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:53.145956Z", - "iopub.status.busy": "2024-04-12T10:16:53.145625Z", - "iopub.status.idle": "2024-04-12T10:16:53.148083Z", - "shell.execute_reply": "2024-04-12T10:16:53.147655Z" + "iopub.execute_input": "2024-04-22T21:45:24.906315Z", + "iopub.status.busy": "2024-04-22T21:45:24.906145Z", + "iopub.status.idle": "2024-04-22T21:45:24.908605Z", + "shell.execute_reply": "2024-04-22T21:45:24.908188Z" } }, "outputs": [], @@ -409,10 +409,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:53.150181Z", - "iopub.status.busy": "2024-04-12T10:16:53.149874Z", - "iopub.status.idle": "2024-04-12T10:16:53.664946Z", - "shell.execute_reply": "2024-04-12T10:16:53.664441Z" + "iopub.execute_input": "2024-04-22T21:45:24.910562Z", + "iopub.status.busy": "2024-04-22T21:45:24.910388Z", + "iopub.status.idle": "2024-04-22T21:45:25.436166Z", + "shell.execute_reply": "2024-04-22T21:45:25.435613Z" } }, "outputs": [], @@ -446,10 +446,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:53.667359Z", - "iopub.status.busy": "2024-04-12T10:16:53.667016Z", - "iopub.status.idle": "2024-04-12T10:16:55.263747Z", - "shell.execute_reply": "2024-04-12T10:16:55.263114Z" + "iopub.execute_input": "2024-04-22T21:45:25.438472Z", + "iopub.status.busy": "2024-04-22T21:45:25.438275Z", + "iopub.status.idle": "2024-04-22T21:45:27.083375Z", + "shell.execute_reply": "2024-04-22T21:45:27.082764Z" } }, "outputs": [ @@ -481,10 +481,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:55.266319Z", - "iopub.status.busy": "2024-04-12T10:16:55.265769Z", - "iopub.status.idle": "2024-04-12T10:16:55.275685Z", - "shell.execute_reply": "2024-04-12T10:16:55.275124Z" + "iopub.execute_input": "2024-04-22T21:45:27.086464Z", + "iopub.status.busy": "2024-04-22T21:45:27.085476Z", + "iopub.status.idle": "2024-04-22T21:45:27.095728Z", + "shell.execute_reply": "2024-04-22T21:45:27.095201Z" } }, "outputs": [ @@ -605,10 +605,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:55.277832Z", - "iopub.status.busy": "2024-04-12T10:16:55.277412Z", - "iopub.status.idle": "2024-04-12T10:16:55.281431Z", - "shell.execute_reply": "2024-04-12T10:16:55.280905Z" + "iopub.execute_input": "2024-04-22T21:45:27.097877Z", + "iopub.status.busy": "2024-04-22T21:45:27.097550Z", + "iopub.status.idle": "2024-04-22T21:45:27.101585Z", + "shell.execute_reply": "2024-04-22T21:45:27.101039Z" } }, "outputs": [], @@ -633,10 +633,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:55.283695Z", - "iopub.status.busy": "2024-04-12T10:16:55.283282Z", - "iopub.status.idle": "2024-04-12T10:16:55.290411Z", - "shell.execute_reply": "2024-04-12T10:16:55.289838Z" + "iopub.execute_input": "2024-04-22T21:45:27.103636Z", + "iopub.status.busy": "2024-04-22T21:45:27.103261Z", + "iopub.status.idle": "2024-04-22T21:45:27.110494Z", + "shell.execute_reply": "2024-04-22T21:45:27.109972Z" } }, "outputs": [], @@ -658,10 +658,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:55.292645Z", - "iopub.status.busy": "2024-04-12T10:16:55.292252Z", - "iopub.status.idle": "2024-04-12T10:16:55.402952Z", - "shell.execute_reply": "2024-04-12T10:16:55.402470Z" + "iopub.execute_input": "2024-04-22T21:45:27.112582Z", + "iopub.status.busy": "2024-04-22T21:45:27.112186Z", + "iopub.status.idle": "2024-04-22T21:45:27.224498Z", + "shell.execute_reply": "2024-04-22T21:45:27.223883Z" } }, "outputs": [ @@ -691,10 +691,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:55.405101Z", - "iopub.status.busy": "2024-04-12T10:16:55.404770Z", - "iopub.status.idle": "2024-04-12T10:16:55.407441Z", - "shell.execute_reply": "2024-04-12T10:16:55.406989Z" + "iopub.execute_input": "2024-04-22T21:45:27.226901Z", + "iopub.status.busy": "2024-04-22T21:45:27.226520Z", + "iopub.status.idle": "2024-04-22T21:45:27.229332Z", + "shell.execute_reply": "2024-04-22T21:45:27.228882Z" } }, "outputs": [], @@ -715,10 +715,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:55.409390Z", - "iopub.status.busy": "2024-04-12T10:16:55.409068Z", - "iopub.status.idle": "2024-04-12T10:16:57.317602Z", - "shell.execute_reply": "2024-04-12T10:16:57.316853Z" + "iopub.execute_input": "2024-04-22T21:45:27.231426Z", + "iopub.status.busy": "2024-04-22T21:45:27.231082Z", + "iopub.status.idle": "2024-04-22T21:45:29.227466Z", + "shell.execute_reply": "2024-04-22T21:45:29.226747Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:57.320501Z", - "iopub.status.busy": "2024-04-12T10:16:57.319938Z", - "iopub.status.idle": "2024-04-12T10:16:57.331018Z", - "shell.execute_reply": "2024-04-12T10:16:57.330552Z" + "iopub.execute_input": "2024-04-22T21:45:29.230709Z", + "iopub.status.busy": "2024-04-22T21:45:29.229921Z", + "iopub.status.idle": "2024-04-22T21:45:29.241793Z", + "shell.execute_reply": "2024-04-22T21:45:29.241351Z" } }, "outputs": [ @@ -771,10 +771,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:16:57.332987Z", - "iopub.status.busy": "2024-04-12T10:16:57.332680Z", - "iopub.status.idle": "2024-04-12T10:16:57.429287Z", - "shell.execute_reply": "2024-04-12T10:16:57.428720Z" + "iopub.execute_input": "2024-04-22T21:45:29.243980Z", + "iopub.status.busy": "2024-04-22T21:45:29.243647Z", + "iopub.status.idle": "2024-04-22T21:45:29.298666Z", + "shell.execute_reply": "2024-04-22T21:45:29.298181Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/clean_learning/text.html b/master/tutorials/clean_learning/text.html index b6fb16301..799a752e6 100644 --- a/master/tutorials/clean_learning/text.html +++ b/master/tutorials/clean_learning/text.html @@ -783,7 +783,7 @@

2. Load and format the text dataset 
 This dataset has 10 classes.
-Classes: {'apple_pay_or_google_pay', 'beneficiary_not_allowed', 'change_pin', 'cancel_transfer', 'getting_spare_card', 'card_payment_fee_charged', 'supported_cards_and_currencies', 'lost_or_stolen_phone', 'card_about_to_expire', 'visa_or_mastercard'}
+Classes: {'apple_pay_or_google_pay', 'getting_spare_card', 'supported_cards_and_currencies', 'change_pin', 'beneficiary_not_allowed', 'lost_or_stolen_phone', 'visa_or_mastercard', 'card_about_to_expire', 'card_payment_fee_charged', 'cancel_transfer'}

Let’s print the first example in the train set.

@@ -846,43 +846,43 @@

2. Load and format the text dataset
-
+
-
+
-
+
-
+
-
+
-
+
-
+
@@ -1181,7 +1181,7 @@

4. 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"model_module_version": "2.0.0", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_68dcd7b0d6134722a65bfe593f2c6df6", "IPY_MODEL_f47c1659d6154b88aa950656ada97270", "IPY_MODEL_0e22b501666f40ba979eb35ad91c7328"], "layout": "IPY_MODEL_f21a4b6aa0c347d992dfeb26e8b96edc", "tabbable": null, "tooltip": null}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/clean_learning/text.ipynb b/master/tutorials/clean_learning/text.ipynb index f8dfcba82..06bcc3f22 100644 --- a/master/tutorials/clean_learning/text.ipynb +++ b/master/tutorials/clean_learning/text.ipynb @@ -115,10 +115,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:00.400639Z", - "iopub.status.busy": "2024-04-12T10:17:00.400279Z", - "iopub.status.idle": "2024-04-12T10:17:03.243895Z", - "shell.execute_reply": "2024-04-12T10:17:03.243345Z" + "iopub.execute_input": "2024-04-22T21:45:32.207203Z", + "iopub.status.busy": "2024-04-22T21:45:32.206819Z", + "iopub.status.idle": "2024-04-22T21:45:35.145406Z", + "shell.execute_reply": "2024-04-22T21:45:35.144809Z" }, "nbsphinx": "hidden" }, @@ -135,7 +135,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -160,10 +160,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.246644Z", - "iopub.status.busy": "2024-04-12T10:17:03.246185Z", - "iopub.status.idle": "2024-04-12T10:17:03.249442Z", - "shell.execute_reply": "2024-04-12T10:17:03.249016Z" + "iopub.execute_input": "2024-04-22T21:45:35.148196Z", + "iopub.status.busy": "2024-04-22T21:45:35.147720Z", + "iopub.status.idle": "2024-04-22T21:45:35.151375Z", + "shell.execute_reply": "2024-04-22T21:45:35.150893Z" } }, "outputs": [], @@ -185,10 +185,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.251373Z", - "iopub.status.busy": "2024-04-12T10:17:03.251060Z", - "iopub.status.idle": "2024-04-12T10:17:03.254203Z", - "shell.execute_reply": "2024-04-12T10:17:03.253651Z" + "iopub.execute_input": "2024-04-22T21:45:35.153403Z", + "iopub.status.busy": "2024-04-22T21:45:35.153124Z", + "iopub.status.idle": "2024-04-22T21:45:35.156374Z", + "shell.execute_reply": "2024-04-22T21:45:35.155904Z" }, "nbsphinx": "hidden" }, @@ -219,10 +219,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.256323Z", - "iopub.status.busy": "2024-04-12T10:17:03.255887Z", - "iopub.status.idle": "2024-04-12T10:17:03.350298Z", - "shell.execute_reply": "2024-04-12T10:17:03.349766Z" + "iopub.execute_input": "2024-04-22T21:45:35.158371Z", + "iopub.status.busy": "2024-04-22T21:45:35.158095Z", + "iopub.status.idle": "2024-04-22T21:45:35.213752Z", + "shell.execute_reply": "2024-04-22T21:45:35.213190Z" } }, "outputs": [ @@ -312,10 +312,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.352462Z", - "iopub.status.busy": "2024-04-12T10:17:03.352014Z", - "iopub.status.idle": "2024-04-12T10:17:03.355568Z", - "shell.execute_reply": "2024-04-12T10:17:03.355040Z" + "iopub.execute_input": "2024-04-22T21:45:35.216178Z", + "iopub.status.busy": "2024-04-22T21:45:35.215747Z", + "iopub.status.idle": "2024-04-22T21:45:35.219359Z", + "shell.execute_reply": "2024-04-22T21:45:35.218904Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.357701Z", - "iopub.status.busy": "2024-04-12T10:17:03.357394Z", - "iopub.status.idle": "2024-04-12T10:17:03.360886Z", - "shell.execute_reply": "2024-04-12T10:17:03.360437Z" + "iopub.execute_input": "2024-04-22T21:45:35.221357Z", + "iopub.status.busy": "2024-04-22T21:45:35.221179Z", + "iopub.status.idle": "2024-04-22T21:45:35.224452Z", + "shell.execute_reply": "2024-04-22T21:45:35.223949Z" } }, "outputs": [ @@ -342,7 +342,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'apple_pay_or_google_pay', 'beneficiary_not_allowed', 'change_pin', 'cancel_transfer', 'getting_spare_card', 'card_payment_fee_charged', 'supported_cards_and_currencies', 'lost_or_stolen_phone', 'card_about_to_expire', 'visa_or_mastercard'}\n" + "Classes: {'apple_pay_or_google_pay', 'getting_spare_card', 'supported_cards_and_currencies', 'change_pin', 'beneficiary_not_allowed', 'lost_or_stolen_phone', 'visa_or_mastercard', 'card_about_to_expire', 'card_payment_fee_charged', 'cancel_transfer'}\n" ] } ], @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.362735Z", - "iopub.status.busy": "2024-04-12T10:17:03.362562Z", - "iopub.status.idle": "2024-04-12T10:17:03.365686Z", - "shell.execute_reply": "2024-04-12T10:17:03.365170Z" + "iopub.execute_input": "2024-04-22T21:45:35.226398Z", + "iopub.status.busy": "2024-04-22T21:45:35.226086Z", + "iopub.status.idle": "2024-04-22T21:45:35.229421Z", + "shell.execute_reply": "2024-04-22T21:45:35.228971Z" } }, "outputs": [ @@ -409,10 +409,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.367671Z", - "iopub.status.busy": "2024-04-12T10:17:03.367346Z", - "iopub.status.idle": "2024-04-12T10:17:03.370565Z", - "shell.execute_reply": "2024-04-12T10:17:03.370123Z" + "iopub.execute_input": "2024-04-22T21:45:35.231449Z", + "iopub.status.busy": "2024-04-22T21:45:35.231155Z", + "iopub.status.idle": "2024-04-22T21:45:35.234480Z", + "shell.execute_reply": "2024-04-22T21:45:35.233942Z" } }, "outputs": [], @@ -453,17 +453,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:03.372555Z", - "iopub.status.busy": "2024-04-12T10:17:03.372158Z", - "iopub.status.idle": "2024-04-12T10:17:08.678066Z", - "shell.execute_reply": "2024-04-12T10:17:08.677428Z" + "iopub.execute_input": "2024-04-22T21:45:35.236466Z", + "iopub.status.busy": "2024-04-22T21:45:35.236164Z", + "iopub.status.idle": "2024-04-22T21:45:40.442251Z", + "shell.execute_reply": "2024-04-22T21:45:40.441617Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c1dcbc0d21b84be0beefadfa19704638", + "model_id": "130dd361bd5c40fea132bd84a358e9e4", "version_major": 2, 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"execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:10.927615Z", - "iopub.status.busy": "2024-04-12T10:17:10.927033Z", - "iopub.status.idle": "2024-04-12T10:17:10.934742Z", - "shell.execute_reply": "2024-04-12T10:17:10.934286Z" + "iopub.execute_input": "2024-04-22T21:45:42.673199Z", + "iopub.status.busy": "2024-04-22T21:45:42.672569Z", + "iopub.status.idle": "2024-04-22T21:45:42.680437Z", + "shell.execute_reply": "2024-04-22T21:45:42.679863Z" } }, "outputs": [ @@ -782,10 +782,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:10.936845Z", - "iopub.status.busy": "2024-04-12T10:17:10.936576Z", - "iopub.status.idle": "2024-04-12T10:17:10.940337Z", - "shell.execute_reply": "2024-04-12T10:17:10.939850Z" + "iopub.execute_input": "2024-04-22T21:45:42.682553Z", + "iopub.status.busy": "2024-04-22T21:45:42.682160Z", + "iopub.status.idle": "2024-04-22T21:45:42.686277Z", + "shell.execute_reply": 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["IPY_MODEL_674dff2148564073b6a9239a8296cc33", "IPY_MODEL_a6887bc12079494998d907da7782631f", "IPY_MODEL_482c24dc64f44d3ca98e1017dba7245d"], "layout": "IPY_MODEL_d12530cc70a34360b37875cf688931fc", "tabbable": null, "tooltip": null}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/datalab/audio.ipynb b/master/tutorials/datalab/audio.ipynb index baeca626c..ac4c83517 100644 --- a/master/tutorials/datalab/audio.ipynb +++ b/master/tutorials/datalab/audio.ipynb @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:14.336958Z", - "iopub.status.busy": "2024-04-12T10:17:14.336469Z", - "iopub.status.idle": "2024-04-12T10:17:18.827866Z", - "shell.execute_reply": "2024-04-12T10:17:18.827310Z" + "iopub.execute_input": "2024-04-22T21:45:47.269503Z", + "iopub.status.busy": "2024-04-22T21:45:47.269337Z", + "iopub.status.idle": "2024-04-22T21:45:51.760736Z", + "shell.execute_reply": "2024-04-22T21:45:51.760185Z" }, "nbsphinx": "hidden" }, @@ -97,7 +97,7 @@ "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\" \n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -131,10 +131,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:18.830487Z", - "iopub.status.busy": "2024-04-12T10:17:18.830156Z", - "iopub.status.idle": "2024-04-12T10:17:18.833599Z", - "shell.execute_reply": "2024-04-12T10:17:18.833052Z" + "iopub.execute_input": "2024-04-22T21:45:51.763408Z", + "iopub.status.busy": "2024-04-22T21:45:51.762908Z", + "iopub.status.idle": "2024-04-22T21:45:51.765966Z", + "shell.execute_reply": "2024-04-22T21:45:51.765533Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:18.835548Z", - "iopub.status.busy": "2024-04-12T10:17:18.835372Z", - "iopub.status.idle": "2024-04-12T10:17:18.839928Z", - "shell.execute_reply": "2024-04-12T10:17:18.839393Z" + "iopub.execute_input": "2024-04-22T21:45:51.767978Z", + "iopub.status.busy": "2024-04-22T21:45:51.767650Z", + "iopub.status.idle": "2024-04-22T21:45:51.772217Z", + "shell.execute_reply": "2024-04-22T21:45:51.771802Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:18.842072Z", - "iopub.status.busy": "2024-04-12T10:17:18.841894Z", - "iopub.status.idle": "2024-04-12T10:17:20.931134Z", - "shell.execute_reply": "2024-04-12T10:17:20.930519Z" + "iopub.execute_input": "2024-04-22T21:45:51.774202Z", + "iopub.status.busy": "2024-04-22T21:45:51.773881Z", + "iopub.status.idle": "2024-04-22T21:45:53.310693Z", + "shell.execute_reply": "2024-04-22T21:45:53.309859Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:20.933697Z", - "iopub.status.busy": "2024-04-12T10:17:20.933321Z", - "iopub.status.idle": "2024-04-12T10:17:20.943871Z", - "shell.execute_reply": "2024-04-12T10:17:20.943448Z" + "iopub.execute_input": "2024-04-22T21:45:53.313573Z", + "iopub.status.busy": "2024-04-22T21:45:53.313167Z", + "iopub.status.idle": "2024-04-22T21:45:53.323853Z", + "shell.execute_reply": "2024-04-22T21:45:53.323396Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:20.946026Z", - "iopub.status.busy": "2024-04-12T10:17:20.945705Z", - "iopub.status.idle": "2024-04-12T10:17:20.950804Z", - "shell.execute_reply": "2024-04-12T10:17:20.950366Z" + "iopub.execute_input": "2024-04-22T21:45:53.325808Z", + "iopub.status.busy": "2024-04-22T21:45:53.325518Z", + "iopub.status.idle": "2024-04-22T21:45:53.331056Z", + "shell.execute_reply": "2024-04-22T21:45:53.330488Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:20.952908Z", - "iopub.status.busy": "2024-04-12T10:17:20.952485Z", - "iopub.status.idle": "2024-04-12T10:17:21.376442Z", - "shell.execute_reply": "2024-04-12T10:17:21.375891Z" + "iopub.execute_input": "2024-04-22T21:45:53.333161Z", + "iopub.status.busy": "2024-04-22T21:45:53.332875Z", + "iopub.status.idle": "2024-04-22T21:45:53.785353Z", + "shell.execute_reply": "2024-04-22T21:45:53.784811Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:21.378663Z", - "iopub.status.busy": "2024-04-12T10:17:21.378376Z", - "iopub.status.idle": "2024-04-12T10:17:23.067983Z", - "shell.execute_reply": "2024-04-12T10:17:23.067507Z" + "iopub.execute_input": "2024-04-22T21:45:53.787455Z", + "iopub.status.busy": "2024-04-22T21:45:53.787238Z", + "iopub.status.idle": "2024-04-22T21:45:55.078807Z", + "shell.execute_reply": "2024-04-22T21:45:55.078269Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:23.070465Z", - "iopub.status.busy": "2024-04-12T10:17:23.070094Z", - "iopub.status.idle": "2024-04-12T10:17:23.087743Z", - "shell.execute_reply": "2024-04-12T10:17:23.087282Z" + "iopub.execute_input": "2024-04-22T21:45:55.081262Z", + "iopub.status.busy": "2024-04-22T21:45:55.080995Z", + "iopub.status.idle": "2024-04-22T21:45:55.098992Z", + "shell.execute_reply": "2024-04-22T21:45:55.098508Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:23.089723Z", - "iopub.status.busy": "2024-04-12T10:17:23.089347Z", - "iopub.status.idle": "2024-04-12T10:17:23.092406Z", - "shell.execute_reply": "2024-04-12T10:17:23.091929Z" + "iopub.execute_input": "2024-04-22T21:45:55.100948Z", + "iopub.status.busy": "2024-04-22T21:45:55.100626Z", + "iopub.status.idle": "2024-04-22T21:45:55.103729Z", + "shell.execute_reply": "2024-04-22T21:45:55.103225Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:23.094411Z", - "iopub.status.busy": "2024-04-12T10:17:23.094028Z", - "iopub.status.idle": "2024-04-12T10:17:37.022529Z", - "shell.execute_reply": "2024-04-12T10:17:37.021941Z" + "iopub.execute_input": "2024-04-22T21:45:55.105641Z", + "iopub.status.busy": "2024-04-22T21:45:55.105389Z", + "iopub.status.idle": "2024-04-22T21:46:09.128736Z", + "shell.execute_reply": "2024-04-22T21:46:09.128116Z" }, "id": "2FSQ2GR9R_YA" }, @@ -627,10 +627,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:37.025158Z", - "iopub.status.busy": "2024-04-12T10:17:37.024925Z", - "iopub.status.idle": "2024-04-12T10:17:37.028608Z", - "shell.execute_reply": "2024-04-12T10:17:37.028069Z" + "iopub.execute_input": "2024-04-22T21:46:09.131472Z", + "iopub.status.busy": "2024-04-22T21:46:09.131109Z", + "iopub.status.idle": "2024-04-22T21:46:09.134905Z", + "shell.execute_reply": "2024-04-22T21:46:09.134404Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:37.030645Z", - "iopub.status.busy": "2024-04-12T10:17:37.030465Z", - "iopub.status.idle": "2024-04-12T10:17:37.745102Z", - "shell.execute_reply": "2024-04-12T10:17:37.744523Z" + "iopub.execute_input": "2024-04-22T21:46:09.136958Z", + "iopub.status.busy": "2024-04-22T21:46:09.136632Z", + "iopub.status.idle": "2024-04-22T21:46:09.827232Z", + "shell.execute_reply": "2024-04-22T21:46:09.826654Z" }, "id": "i_drkY9YOcw4" }, @@ -727,10 +727,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:37.748786Z", - "iopub.status.busy": "2024-04-12T10:17:37.747829Z", - "iopub.status.idle": "2024-04-12T10:17:37.754717Z", - "shell.execute_reply": "2024-04-12T10:17:37.754221Z" + "iopub.execute_input": "2024-04-22T21:46:09.830087Z", + "iopub.status.busy": "2024-04-22T21:46:09.829729Z", + "iopub.status.idle": "2024-04-22T21:46:09.834322Z", + "shell.execute_reply": "2024-04-22T21:46:09.833857Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -777,10 +777,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:37.758250Z", - "iopub.status.busy": "2024-04-12T10:17:37.757328Z", - "iopub.status.idle": "2024-04-12T10:17:37.853926Z", - "shell.execute_reply": "2024-04-12T10:17:37.853336Z" + "iopub.execute_input": "2024-04-22T21:46:09.836726Z", + "iopub.status.busy": "2024-04-22T21:46:09.836360Z", + "iopub.status.idle": "2024-04-22T21:46:09.935073Z", + "shell.execute_reply": "2024-04-22T21:46:09.934376Z" } }, "outputs": [ @@ -817,10 +817,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:37.856644Z", - "iopub.status.busy": "2024-04-12T10:17:37.856363Z", - "iopub.status.idle": "2024-04-12T10:17:38.080920Z", - "shell.execute_reply": "2024-04-12T10:17:38.080413Z" + "iopub.execute_input": "2024-04-22T21:46:09.937463Z", + "iopub.status.busy": "2024-04-22T21:46:09.937101Z", + "iopub.status.idle": "2024-04-22T21:46:09.949022Z", + "shell.execute_reply": "2024-04-22T21:46:09.948596Z" }, "scrolled": true }, @@ -875,10 +875,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.083013Z", - "iopub.status.busy": "2024-04-12T10:17:38.082821Z", - "iopub.status.idle": "2024-04-12T10:17:38.090655Z", - "shell.execute_reply": "2024-04-12T10:17:38.090216Z" + "iopub.execute_input": "2024-04-22T21:46:09.951211Z", + "iopub.status.busy": "2024-04-22T21:46:09.950768Z", + "iopub.status.idle": "2024-04-22T21:46:09.958479Z", + "shell.execute_reply": "2024-04-22T21:46:09.957867Z" } }, "outputs": [ @@ -982,10 +982,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.092493Z", - "iopub.status.busy": "2024-04-12T10:17:38.092316Z", - "iopub.status.idle": "2024-04-12T10:17:38.096483Z", - "shell.execute_reply": "2024-04-12T10:17:38.095920Z" + "iopub.execute_input": "2024-04-22T21:46:09.960681Z", + "iopub.status.busy": "2024-04-22T21:46:09.960346Z", + "iopub.status.idle": "2024-04-22T21:46:09.964669Z", + "shell.execute_reply": "2024-04-22T21:46:09.964175Z" } }, "outputs": [ @@ -1023,10 +1023,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.098551Z", - "iopub.status.busy": "2024-04-12T10:17:38.098155Z", - "iopub.status.idle": "2024-04-12T10:17:38.103567Z", - "shell.execute_reply": "2024-04-12T10:17:38.103124Z" + "iopub.execute_input": "2024-04-22T21:46:09.966989Z", + "iopub.status.busy": "2024-04-22T21:46:09.966603Z", + "iopub.status.idle": "2024-04-22T21:46:09.973621Z", + "shell.execute_reply": "2024-04-22T21:46:09.973090Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1153,10 +1153,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.105651Z", - "iopub.status.busy": "2024-04-12T10:17:38.105329Z", - "iopub.status.idle": "2024-04-12T10:17:38.212088Z", - "shell.execute_reply": "2024-04-12T10:17:38.211529Z" + "iopub.execute_input": "2024-04-22T21:46:09.975750Z", + "iopub.status.busy": "2024-04-22T21:46:09.975561Z", + "iopub.status.idle": "2024-04-22T21:46:10.300576Z", + "shell.execute_reply": "2024-04-22T21:46:10.300008Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1210,10 +1210,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.214294Z", - "iopub.status.busy": "2024-04-12T10:17:38.213970Z", - "iopub.status.idle": "2024-04-12T10:17:38.314652Z", - "shell.execute_reply": "2024-04-12T10:17:38.314116Z" + "iopub.execute_input": "2024-04-22T21:46:10.302798Z", + "iopub.status.busy": "2024-04-22T21:46:10.302530Z", + "iopub.status.idle": "2024-04-22T21:46:10.404868Z", + "shell.execute_reply": "2024-04-22T21:46:10.404322Z" }, "id": "GZgovGkdiaiP", "outputId": "d76b2ccf-8be2-4f3a-df4c-2c5c99150db7" @@ -1258,10 +1258,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.316891Z", - "iopub.status.busy": "2024-04-12T10:17:38.316532Z", - "iopub.status.idle": "2024-04-12T10:17:38.418178Z", - "shell.execute_reply": "2024-04-12T10:17:38.417615Z" + "iopub.execute_input": "2024-04-22T21:46:10.406953Z", + "iopub.status.busy": "2024-04-22T21:46:10.406671Z", + "iopub.status.idle": "2024-04-22T21:46:10.507832Z", + "shell.execute_reply": "2024-04-22T21:46:10.507318Z" }, "id": "lfa2eHbMwG8R", "outputId": "6627ebe2-d439-4bf5-e2cb-44f6278ae86c" @@ -1302,10 +1302,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.420455Z", - "iopub.status.busy": "2024-04-12T10:17:38.420196Z", - "iopub.status.idle": "2024-04-12T10:17:38.522949Z", - "shell.execute_reply": "2024-04-12T10:17:38.522400Z" + "iopub.execute_input": "2024-04-22T21:46:10.509874Z", + "iopub.status.busy": "2024-04-22T21:46:10.509687Z", + "iopub.status.idle": "2024-04-22T21:46:10.610549Z", + "shell.execute_reply": "2024-04-22T21:46:10.610096Z" } }, "outputs": [ @@ -1353,10 +1353,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:38.525191Z", - "iopub.status.busy": "2024-04-12T10:17:38.524792Z", - "iopub.status.idle": "2024-04-12T10:17:38.527880Z", - "shell.execute_reply": "2024-04-12T10:17:38.527446Z" + "iopub.execute_input": "2024-04-22T21:46:10.612698Z", + "iopub.status.busy": "2024-04-22T21:46:10.612368Z", + "iopub.status.idle": "2024-04-22T21:46:10.615446Z", + "shell.execute_reply": "2024-04-22T21:46:10.614999Z" }, "nbsphinx": "hidden" }, @@ -1397,31 +1397,48 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0350c7cd808a4d83bff89c863b16a4b9": { + "03109fcfbcd34d20a3309e25e83e4033": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HBoxModel", + "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - 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1. Install and import required dependenciesdependencies = ["cleanlab", "matplotlib", "datasets"] # TODO: make sure this list is updated if "google.colab" in str(get_ipython()): # Check if it's running in Google Colab - %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2 + %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43 cmd = ' '.join([dep for dep in dependencies if dep != "cleanlab"]) %pip install $cmd else: @@ -1144,7 +1144,7 @@

5. Use DataMonitor to find issues in new data

-
+
@@ -1179,7 +1179,7 @@

5. Use DataMonitor to find issues in new data

-
+
@@ -1479,7 +1479,7 @@

6. Learn more about the issues in the additional data

diff --git a/master/tutorials/datalab/data_monitor.ipynb b/master/tutorials/datalab/data_monitor.ipynb index 44458bd52..4609f24f7 100644 --- a/master/tutorials/datalab/data_monitor.ipynb +++ b/master/tutorials/datalab/data_monitor.ipynb @@ -66,10 +66,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:41.669160Z", - "iopub.status.busy": "2024-04-12T10:17:41.668811Z", - "iopub.status.idle": "2024-04-12T10:17:42.797297Z", - "shell.execute_reply": "2024-04-12T10:17:42.796728Z" + "iopub.execute_input": "2024-04-22T21:46:13.744518Z", + "iopub.status.busy": "2024-04-22T21:46:13.744351Z", + "iopub.status.idle": "2024-04-22T21:46:14.870085Z", + "shell.execute_reply": "2024-04-22T21:46:14.869532Z" } }, "outputs": [], @@ -78,7 +78,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -103,10 +103,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:42.799837Z", - "iopub.status.busy": "2024-04-12T10:17:42.799432Z", - "iopub.status.idle": "2024-04-12T10:17:42.805345Z", - "shell.execute_reply": "2024-04-12T10:17:42.804916Z" + "iopub.execute_input": "2024-04-22T21:46:14.872704Z", + "iopub.status.busy": "2024-04-22T21:46:14.872251Z", + "iopub.status.idle": "2024-04-22T21:46:14.878566Z", + "shell.execute_reply": "2024-04-22T21:46:14.878145Z" } }, "outputs": [], @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:42.807490Z", - "iopub.status.busy": "2024-04-12T10:17:42.807205Z", - "iopub.status.idle": "2024-04-12T10:17:42.815823Z", - "shell.execute_reply": "2024-04-12T10:17:42.815366Z" + "iopub.execute_input": "2024-04-22T21:46:14.880789Z", + "iopub.status.busy": "2024-04-22T21:46:14.880342Z", + "iopub.status.idle": "2024-04-22T21:46:14.889368Z", + "shell.execute_reply": "2024-04-22T21:46:14.888938Z" } }, "outputs": [], @@ -334,10 +334,10 @@ "execution_count": 4, "metadata": { "execution": { - 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"version_major": 2, "version_minor": 0} diff --git a/master/tutorials/datalab/datalab_advanced.ipynb b/master/tutorials/datalab/datalab_advanced.ipynb index 081d9bd8b..914182fea 100644 --- a/master/tutorials/datalab/datalab_advanced.ipynb +++ b/master/tutorials/datalab/datalab_advanced.ipynb @@ -80,10 +80,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:57.537354Z", - "iopub.status.busy": "2024-04-12T10:17:57.537174Z", - "iopub.status.idle": "2024-04-12T10:17:58.663963Z", - "shell.execute_reply": "2024-04-12T10:17:58.663342Z" + "iopub.execute_input": "2024-04-22T21:46:29.874726Z", + "iopub.status.busy": "2024-04-22T21:46:29.874554Z", + "iopub.status.idle": "2024-04-22T21:46:30.994922Z", + "shell.execute_reply": "2024-04-22T21:46:30.994425Z" }, "nbsphinx": "hidden" }, @@ -93,7 +93,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -118,10 +118,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:58.666653Z", - "iopub.status.busy": "2024-04-12T10:17:58.666246Z", - "iopub.status.idle": "2024-04-12T10:17:58.669230Z", - "shell.execute_reply": "2024-04-12T10:17:58.668707Z" + "iopub.execute_input": "2024-04-22T21:46:30.997483Z", + "iopub.status.busy": "2024-04-22T21:46:30.996952Z", + "iopub.status.idle": "2024-04-22T21:46:31.000163Z", + "shell.execute_reply": "2024-04-22T21:46:30.999633Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:58.671397Z", - "iopub.status.busy": "2024-04-12T10:17:58.671137Z", - "iopub.status.idle": "2024-04-12T10:17:58.679392Z", - "shell.execute_reply": "2024-04-12T10:17:58.678939Z" + "iopub.execute_input": "2024-04-22T21:46:31.002432Z", + "iopub.status.busy": "2024-04-22T21:46:31.002135Z", + "iopub.status.idle": "2024-04-22T21:46:31.011032Z", + "shell.execute_reply": "2024-04-22T21:46:31.010483Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:58.681365Z", - "iopub.status.busy": "2024-04-12T10:17:58.681038Z", - "iopub.status.idle": "2024-04-12T10:17:58.685331Z", - "shell.execute_reply": "2024-04-12T10:17:58.684922Z" + "iopub.execute_input": "2024-04-22T21:46:31.013078Z", + "iopub.status.busy": "2024-04-22T21:46:31.012785Z", + "iopub.status.idle": "2024-04-22T21:46:31.017490Z", + "shell.execute_reply": "2024-04-22T21:46:31.017084Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:58.687324Z", - "iopub.status.busy": "2024-04-12T10:17:58.687005Z", - "iopub.status.idle": "2024-04-12T10:17:58.867649Z", - "shell.execute_reply": "2024-04-12T10:17:58.867099Z" + "iopub.execute_input": "2024-04-22T21:46:31.019527Z", + "iopub.status.busy": "2024-04-22T21:46:31.019209Z", + "iopub.status.idle": "2024-04-22T21:46:31.208028Z", + "shell.execute_reply": "2024-04-22T21:46:31.207414Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:17:58.870096Z", - "iopub.status.busy": "2024-04-12T10:17:58.869750Z", - "iopub.status.idle": "2024-04-12T10:17:59.236253Z", - "shell.execute_reply": "2024-04-12T10:17:59.235627Z" + "iopub.execute_input": "2024-04-22T21:46:31.210754Z", + "iopub.status.busy": "2024-04-22T21:46:31.210354Z", + "iopub.status.idle": "2024-04-22T21:46:31.525945Z", + "shell.execute_reply": 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"execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:03.571183Z", - "iopub.status.busy": "2024-04-12T10:18:03.571002Z", - "iopub.status.idle": "2024-04-12T10:18:04.712412Z", - "shell.execute_reply": "2024-04-12T10:18:04.711814Z" + "iopub.execute_input": "2024-04-22T21:46:36.105696Z", + "iopub.status.busy": "2024-04-22T21:46:36.105526Z", + "iopub.status.idle": "2024-04-22T21:46:37.279773Z", + "shell.execute_reply": "2024-04-22T21:46:37.279242Z" }, "nbsphinx": "hidden" }, @@ -91,7 +91,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -116,10 +116,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:04.714892Z", - "iopub.status.busy": "2024-04-12T10:18:04.714632Z", - "iopub.status.idle": "2024-04-12T10:18:04.717733Z", - "shell.execute_reply": "2024-04-12T10:18:04.717311Z" + "iopub.execute_input": "2024-04-22T21:46:37.282289Z", + "iopub.status.busy": "2024-04-22T21:46:37.281829Z", + "iopub.status.idle": "2024-04-22T21:46:37.284941Z", + "shell.execute_reply": "2024-04-22T21:46:37.284348Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:04.720025Z", - "iopub.status.busy": "2024-04-12T10:18:04.719625Z", - "iopub.status.idle": "2024-04-12T10:18:04.728601Z", - "shell.execute_reply": "2024-04-12T10:18:04.728120Z" + "iopub.execute_input": "2024-04-22T21:46:37.287259Z", + "iopub.status.busy": "2024-04-22T21:46:37.287084Z", + "iopub.status.idle": "2024-04-22T21:46:37.296613Z", + "shell.execute_reply": "2024-04-22T21:46:37.296070Z" }, "nbsphinx": "hidden" }, @@ -356,10 +356,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:04.730623Z", - "iopub.status.busy": "2024-04-12T10:18:04.730192Z", - "iopub.status.idle": "2024-04-12T10:18:04.734750Z", - "shell.execute_reply": "2024-04-12T10:18:04.734200Z" + "iopub.execute_input": "2024-04-22T21:46:37.298597Z", + "iopub.status.busy": "2024-04-22T21:46:37.298295Z", + "iopub.status.idle": "2024-04-22T21:46:37.303320Z", + "shell.execute_reply": "2024-04-22T21:46:37.302902Z" } }, "outputs": [], @@ -448,10 +448,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:04.737017Z", - "iopub.status.busy": "2024-04-12T10:18:04.736731Z", - "iopub.status.idle": "2024-04-12T10:18:04.918284Z", - "shell.execute_reply": "2024-04-12T10:18:04.917688Z" + "iopub.execute_input": "2024-04-22T21:46:37.305351Z", + "iopub.status.busy": "2024-04-22T21:46:37.305050Z", + "iopub.status.idle": "2024-04-22T21:46:37.490442Z", + "shell.execute_reply": "2024-04-22T21:46:37.489950Z" }, "nbsphinx": "hidden" }, @@ -520,10 +520,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:04.920725Z", - "iopub.status.busy": "2024-04-12T10:18:04.920529Z", - "iopub.status.idle": "2024-04-12T10:18:05.230186Z", - "shell.execute_reply": "2024-04-12T10:18:05.229635Z" + "iopub.execute_input": "2024-04-22T21:46:37.492878Z", + "iopub.status.busy": "2024-04-22T21:46:37.492566Z", + "iopub.status.idle": "2024-04-22T21:46:37.863805Z", + "shell.execute_reply": "2024-04-22T21:46:37.863244Z" } }, "outputs": [ @@ -559,10 +559,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:05.232398Z", - "iopub.status.busy": "2024-04-12T10:18:05.232044Z", - "iopub.status.idle": "2024-04-12T10:18:05.234852Z", - "shell.execute_reply": "2024-04-12T10:18:05.234403Z" + "iopub.execute_input": "2024-04-22T21:46:37.866112Z", + "iopub.status.busy": "2024-04-22T21:46:37.865793Z", + "iopub.status.idle": "2024-04-22T21:46:37.868626Z", + "shell.execute_reply": "2024-04-22T21:46:37.868099Z" } }, "outputs": [], @@ -602,10 +602,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:05.236894Z", - "iopub.status.busy": "2024-04-12T10:18:05.236560Z", - "iopub.status.idle": "2024-04-12T10:18:05.271348Z", - "shell.execute_reply": "2024-04-12T10:18:05.270852Z" + "iopub.execute_input": "2024-04-22T21:46:37.870548Z", + "iopub.status.busy": "2024-04-22T21:46:37.870366Z", + "iopub.status.idle": "2024-04-22T21:46:37.906093Z", + "shell.execute_reply": "2024-04-22T21:46:37.905517Z" } }, "outputs": [ @@ -647,10 +647,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:05.273241Z", - "iopub.status.busy": "2024-04-12T10:18:05.272940Z", - "iopub.status.idle": "2024-04-12T10:18:06.891902Z", - "shell.execute_reply": "2024-04-12T10:18:06.891232Z" + "iopub.execute_input": "2024-04-22T21:46:37.908131Z", + "iopub.status.busy": "2024-04-22T21:46:37.907946Z", + "iopub.status.idle": "2024-04-22T21:46:39.549633Z", + "shell.execute_reply": "2024-04-22T21:46:39.548974Z" } }, "outputs": [ @@ -711,10 +711,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:06.894445Z", - "iopub.status.busy": "2024-04-12T10:18:06.893953Z", - "iopub.status.idle": "2024-04-12T10:18:06.912615Z", - "shell.execute_reply": "2024-04-12T10:18:06.912142Z" + "iopub.execute_input": "2024-04-22T21:46:39.552268Z", + "iopub.status.busy": "2024-04-22T21:46:39.551778Z", + "iopub.status.idle": "2024-04-22T21:46:39.569833Z", + "shell.execute_reply": "2024-04-22T21:46:39.569355Z" } }, "outputs": [ @@ -842,10 +842,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:06.914597Z", - "iopub.status.busy": "2024-04-12T10:18:06.914334Z", - "iopub.status.idle": "2024-04-12T10:18:06.920593Z", - "shell.execute_reply": "2024-04-12T10:18:06.920102Z" + "iopub.execute_input": "2024-04-22T21:46:39.571847Z", + "iopub.status.busy": "2024-04-22T21:46:39.571520Z", + "iopub.status.idle": "2024-04-22T21:46:39.577789Z", + "shell.execute_reply": "2024-04-22T21:46:39.577347Z" } }, "outputs": [ @@ -956,10 +956,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:06.922598Z", - "iopub.status.busy": "2024-04-12T10:18:06.922269Z", - "iopub.status.idle": "2024-04-12T10:18:06.927897Z", - "shell.execute_reply": "2024-04-12T10:18:06.927454Z" + "iopub.execute_input": "2024-04-22T21:46:39.579725Z", + "iopub.status.busy": "2024-04-22T21:46:39.579474Z", + "iopub.status.idle": "2024-04-22T21:46:39.585013Z", + "shell.execute_reply": "2024-04-22T21:46:39.584524Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:06.929858Z", - "iopub.status.busy": "2024-04-12T10:18:06.929533Z", - "iopub.status.idle": "2024-04-12T10:18:06.939749Z", - "shell.execute_reply": "2024-04-12T10:18:06.939201Z" + "iopub.execute_input": "2024-04-22T21:46:39.586932Z", + "iopub.status.busy": "2024-04-22T21:46:39.586742Z", + "iopub.status.idle": "2024-04-22T21:46:39.597229Z", + "shell.execute_reply": "2024-04-22T21:46:39.596656Z" } }, "outputs": [ @@ -1221,10 +1221,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:06.941872Z", - "iopub.status.busy": "2024-04-12T10:18:06.941565Z", - "iopub.status.idle": "2024-04-12T10:18:06.950134Z", - "shell.execute_reply": "2024-04-12T10:18:06.949587Z" + "iopub.execute_input": "2024-04-22T21:46:39.599324Z", + "iopub.status.busy": "2024-04-22T21:46:39.598903Z", + "iopub.status.idle": "2024-04-22T21:46:39.607600Z", + "shell.execute_reply": "2024-04-22T21:46:39.607146Z" } }, "outputs": [ @@ -1340,10 +1340,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:06.952160Z", - "iopub.status.busy": "2024-04-12T10:18:06.951835Z", - "iopub.status.idle": "2024-04-12T10:18:06.958793Z", - "shell.execute_reply": "2024-04-12T10:18:06.958256Z" + "iopub.execute_input": "2024-04-22T21:46:39.609656Z", + "iopub.status.busy": "2024-04-22T21:46:39.609258Z", + "iopub.status.idle": "2024-04-22T21:46:39.617773Z", + "shell.execute_reply": "2024-04-22T21:46:39.617316Z" }, "scrolled": true }, @@ -1468,10 +1468,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:06.960723Z", - "iopub.status.busy": "2024-04-12T10:18:06.960554Z", - "iopub.status.idle": "2024-04-12T10:18:06.969666Z", - "shell.execute_reply": "2024-04-12T10:18:06.969143Z" + "iopub.execute_input": "2024-04-22T21:46:39.619983Z", + "iopub.status.busy": "2024-04-22T21:46:39.619568Z", + "iopub.status.idle": "2024-04-22T21:46:39.629123Z", + "shell.execute_reply": "2024-04-22T21:46:39.628685Z" } }, "outputs": [ diff --git a/master/tutorials/datalab/image.html b/master/tutorials/datalab/image.html index 9c963859d..6becc1f73 100644 --- a/master/tutorials/datalab/image.html +++ b/master/tutorials/datalab/image.html @@ -645,7 +645,7 @@

Detecting Issues in an Image Dataset with Datalab

1. Install and import required dependencies#

You can use pip to install all packages required for this tutorial as follows:

-
!pip install matplotlib torch torchvision datasets
+
!pip install matplotlib torch torchvision datasets>=2.19.0
 !pip install "cleanlab[image]"
 # We install cleanlab with extra dependencies for image data
 # Make sure to install the version corresponding to this tutorial
@@ -692,23 +692,26 @@ 
2. Fetch and normalize the Fashion-MNIST dataset
 

 

-

-
-Downloading data: 100%|██████████| 30.9M/30.9M [00:00<00:00, 148MB/s]
-Downloading data: 100%|██████████| 5.18M/5.18M [00:00<00:00, 52.2MB/s]
-

+

+

+

+

+

+

+

+

 

 

 

 

 

-

+

 

 

 

 

 

-

+

 
[3]:
@@ -751,7 +754,7 @@ 
2. Fetch and normalize the Fashion-MNIST dataset# Apply transformations
 def normalize(example):
-    example["image"] = (example["image"] / 255.0).unsqueeze(0)
+    example["image"] = (example["image"] / 255.0)  # each pixel value was originally between 0 and 255
     return example
 
 
@@ -763,7 +766,7 @@ 
2. Fetch and normalize the Fashion-MNIST dataset
-
+

Convert the transformed dataset to a torch dataset. Torch datasets are more efficient with dataloading in practice.

@@ -1012,8 +1015,8 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
 
 Training on fold: 1 ...
-epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.817
-epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.636
+epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.791
+epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.502
 Computing feature embeddings ...

@@ -1021,7 +1024,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings

-
+
@@ -1035,7 +1038,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings

-
+
@@ -1044,8 +1047,8 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
 
 Training on fold: 2 ...
-epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.800
-epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.431
+epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.713
+epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.533
 Computing feature embeddings ...

@@ -1053,7 +1056,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
-
+
@@ -1067,7 +1070,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings

-
+
@@ -1076,8 +1079,8 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
 
 Training on fold: 3 ...
-epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.590
-epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.518
+epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.778
+epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.442
 Computing feature embeddings ...

@@ -1085,7 +1088,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
-
+
@@ -1099,7 +1102,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings

-
+
@@ -1171,7 +1174,7 @@

7. Use cleanlab to find issues

-
+
@@ -1881,35 +1884,35 @@

Dark images - dark_score is_dark_issue + dark_score 34848 - 0.203922 True + 0.203922 50270 - 0.204588 True + 0.204588 3936 - 0.213098 True + 0.213098 733 - 0.217686 True + 0.217686 8094 - 0.230118 True + 0.230118 @@ -2003,35 +2006,35 @@

Low information images - low_information_score is_low_information_issue + low_information_score 53050 - 0.067975 True + 0.067975 40875 - 0.089929 True + 0.089929 9594 - 0.092601 True + 0.092601 34825 - 0.107744 True + 0.107744 37530 - 0.108516 True + 0.108516 @@ -2059,7 +2062,7 @@

Easy ModeCleanlab Studio which will automatically produce one for you. Super easy to use, Cleanlab Studio is no-code platform for data-centric AI that automatically: detects data issues (more types of issues than this cleanlab package), helps you quickly correct these data issues, confidently labels large subsets of an unlabeled dataset, and provides other smart metadata about each of your data points – all powered by a system that automatically trains/deploys the best ML model for your data. Try it for free!

diff --git a/master/tutorials/datalab/image.ipynb b/master/tutorials/datalab/image.ipynb index 24f46181c..2625074f1 100644 --- a/master/tutorials/datalab/image.ipynb +++ b/master/tutorials/datalab/image.ipynb @@ -57,7 +57,7 @@ "You can use `pip` to install all packages required for this tutorial as follows:\n", "\n", "```ipython3\n", - "!pip install matplotlib torch torchvision datasets\n", + "!pip install matplotlib torch torchvision datasets>=2.19.0\n", "!pip install \"cleanlab[image]\"\n", "# We install cleanlab with extra dependencies for image data\n", "# Make sure to install the version corresponding to this tutorial\n", @@ -71,10 +71,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:09.522414Z", - "iopub.status.busy": "2024-04-12T10:18:09.522250Z", - "iopub.status.idle": "2024-04-12T10:18:12.283715Z", - "shell.execute_reply": "2024-04-12T10:18:12.283173Z" + "iopub.execute_input": "2024-04-22T21:46:42.299574Z", + "iopub.status.busy": "2024-04-22T21:46:42.299093Z", + "iopub.status.idle": "2024-04-22T21:46:45.119929Z", + "shell.execute_reply": "2024-04-22T21:46:45.119370Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:12.286267Z", - "iopub.status.busy": "2024-04-12T10:18:12.285977Z", - "iopub.status.idle": "2024-04-12T10:18:12.289701Z", - "shell.execute_reply": "2024-04-12T10:18:12.289254Z" + "iopub.execute_input": "2024-04-22T21:46:45.122500Z", + "iopub.status.busy": "2024-04-22T21:46:45.122114Z", + "iopub.status.idle": "2024-04-22T21:46:45.125643Z", + "shell.execute_reply": "2024-04-22T21:46:45.125212Z" } }, "outputs": [], @@ -152,71 +152,45 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:18:12.291690Z", - "iopub.status.busy": "2024-04-12T10:18:12.291358Z", - "iopub.status.idle": "2024-04-12T10:18:15.356177Z", - "shell.execute_reply": "2024-04-12T10:18:15.355698Z" + "iopub.execute_input": "2024-04-22T21:46:45.127698Z", + "iopub.status.busy": "2024-04-22T21:46:45.127382Z", + "iopub.status.idle": "2024-04-22T21:46:48.603680Z", + "shell.execute_reply": "2024-04-22T21:46:48.603157Z" } }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "Downloading data: 0%| | 0.00/30.9M [00:00\n", " \n", " \n", - " dark_score\n", " is_dark_issue\n", + " dark_score\n", " \n", " \n", " \n", " \n", " 34848\n", - " 0.203922\n", " True\n", + " 0.203922\n", " \n", " \n", " 50270\n", - " 0.204588\n", " True\n", + " 0.204588\n", " \n", " \n", " 3936\n", - " 0.213098\n", " True\n", + " 0.213098\n", " \n", " \n", " 733\n", - " 0.217686\n", " True\n", + " 0.217686\n", " \n", " \n", " 8094\n", - " 0.230118\n", " True\n", + " 0.230118\n", " \n", " \n", "\n", "

" ], "text/plain": [ - " dark_score is_dark_issue\n", - "34848 0.203922 True\n", - "50270 0.204588 True\n", - "3936 0.213098 True\n", - "733 0.217686 True\n", - "8094 0.230118 True" + " is_dark_issue dark_score\n", + "34848 True 0.203922\n", + "50270 True 0.204588\n", + "3936 True 0.213098\n", + "733 True 0.217686\n", + "8094 True 0.230118" ] }, "execution_count": 26, @@ -2307,10 +2281,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:53.671574Z", - "iopub.status.busy": "2024-04-12T10:22:53.671403Z", - "iopub.status.idle": "2024-04-12T10:22:53.676121Z", - "shell.execute_reply": "2024-04-12T10:22:53.675434Z" + "iopub.execute_input": "2024-04-22T21:51:27.185290Z", + "iopub.status.busy": "2024-04-22T21:51:27.185089Z", + "iopub.status.idle": "2024-04-22T21:51:27.191494Z", + "shell.execute_reply": "2024-04-22T21:51:27.190972Z" }, "nbsphinx": "hidden" }, @@ -2347,10 +2321,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:53.678484Z", - "iopub.status.busy": "2024-04-12T10:22:53.678315Z", - "iopub.status.idle": "2024-04-12T10:22:53.853585Z", - "shell.execute_reply": "2024-04-12T10:22:53.853016Z" + "iopub.execute_input": "2024-04-22T21:51:27.193684Z", + "iopub.status.busy": "2024-04-22T21:51:27.193496Z", + "iopub.status.idle": "2024-04-22T21:51:27.393905Z", + "shell.execute_reply": "2024-04-22T21:51:27.393350Z" } }, "outputs": [ @@ -2392,10 +2366,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:53.855877Z", - "iopub.status.busy": "2024-04-12T10:22:53.855704Z", - "iopub.status.idle": "2024-04-12T10:22:53.863518Z", - "shell.execute_reply": "2024-04-12T10:22:53.862996Z" + "iopub.execute_input": "2024-04-22T21:51:27.396174Z", + "iopub.status.busy": "2024-04-22T21:51:27.395762Z", + "iopub.status.idle": "2024-04-22T21:51:27.403512Z", + "shell.execute_reply": "2024-04-22T21:51:27.403051Z" } }, "outputs": [ @@ -2420,47 +2394,47 @@ " \n", " \n", " \n", - " low_information_score\n", " is_low_information_issue\n", + " low_information_score\n", " \n", " \n", " \n", " \n", " 53050\n", - " 0.067975\n", " True\n", + " 0.067975\n", " \n", " \n", " 40875\n", - " 0.089929\n", " True\n", + " 0.089929\n", " \n", " \n", " 9594\n", - " 0.092601\n", " True\n", + " 0.092601\n", " \n", " \n", " 34825\n", - " 0.107744\n", " True\n", + " 0.107744\n", " \n", " \n", " 37530\n", - " 0.108516\n", " True\n", + " 0.108516\n", " \n", " \n", "\n", "
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"layout": "IPY_MODEL_b9658a8795a04d82bb42d36c2c5bfcb1", + "max": 30931277.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_53f0ab05fb9e4f2a9c13b5138fc1dcd8", + "tabbable": null, + "tooltip": null, + "value": 30931277.0 + } + }, + "f5c9244c98be4b7fbd3f800a9d967189": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "f68e04379f5e4e85945089b30d9fcede": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -6360,7 +7100,7 @@ "width": null } }, - "f5701968c3c84fc5b9ba604a9aa0a9f6": { + "fab6aa8a669341ec8a3264502715f063": { 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"model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -6455,23 +7142,30 @@ "text_color": null } }, - "fb083e417bef474f8af4f5d4aee9d9cc": { + "fb428a754bdc4020a571efeb1e699942": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "ProgressStyleModel", + "model_name": "HTMLModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "ProgressStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", + "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_0aa95b525dfb4cffa6738016ec0a929b", + "placeholder": "​", + "style": "IPY_MODEL_49ab7db09aec442f81b7b02f32f3c3e2", + "tabbable": null, + "tooltip": null, + "value": " 40/40 [00:00<00:00, 67.72it/s]" } }, - "fc05ff5a0ae54291a9426f5f20ad91ad": { + "fcc4b333e4d94b5fb6798ba6bd9e0c37": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb index 9c866d7b7..0bf0d6c51 100644 --- a/master/tutorials/datalab/tabular.ipynb +++ b/master/tutorials/datalab/tabular.ipynb @@ -73,10 +73,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:57.997731Z", - "iopub.status.busy": "2024-04-12T10:22:57.997255Z", - "iopub.status.idle": "2024-04-12T10:22:59.063748Z", - "shell.execute_reply": "2024-04-12T10:22:59.063201Z" + "iopub.execute_input": "2024-04-22T21:51:31.046338Z", + "iopub.status.busy": "2024-04-22T21:51:31.046160Z", + "iopub.status.idle": "2024-04-22T21:51:32.130120Z", + "shell.execute_reply": "2024-04-22T21:51:32.129498Z" }, "nbsphinx": "hidden" }, @@ -86,7 +86,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -111,10 +111,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.066325Z", - "iopub.status.busy": "2024-04-12T10:22:59.065884Z", - "iopub.status.idle": "2024-04-12T10:22:59.084279Z", - "shell.execute_reply": "2024-04-12T10:22:59.083825Z" + "iopub.execute_input": "2024-04-22T21:51:32.132811Z", + "iopub.status.busy": "2024-04-22T21:51:32.132533Z", + "iopub.status.idle": "2024-04-22T21:51:32.151021Z", + "shell.execute_reply": "2024-04-22T21:51:32.150519Z" } }, "outputs": [], @@ -154,10 +154,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.086527Z", - "iopub.status.busy": "2024-04-12T10:22:59.086125Z", - "iopub.status.idle": "2024-04-12T10:22:59.109905Z", - "shell.execute_reply": "2024-04-12T10:22:59.109363Z" + "iopub.execute_input": "2024-04-22T21:51:32.153300Z", + "iopub.status.busy": "2024-04-22T21:51:32.153042Z", + "iopub.status.idle": "2024-04-22T21:51:32.178642Z", + "shell.execute_reply": "2024-04-22T21:51:32.178074Z" } }, "outputs": [ @@ -264,10 +264,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.111903Z", - "iopub.status.busy": "2024-04-12T10:22:59.111608Z", - "iopub.status.idle": "2024-04-12T10:22:59.115087Z", - "shell.execute_reply": "2024-04-12T10:22:59.114529Z" + "iopub.execute_input": "2024-04-22T21:51:32.180911Z", + "iopub.status.busy": "2024-04-22T21:51:32.180515Z", + "iopub.status.idle": "2024-04-22T21:51:32.184022Z", + "shell.execute_reply": "2024-04-22T21:51:32.183494Z" } }, "outputs": [], @@ -288,10 +288,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.117041Z", - "iopub.status.busy": "2024-04-12T10:22:59.116751Z", - "iopub.status.idle": "2024-04-12T10:22:59.124293Z", - "shell.execute_reply": "2024-04-12T10:22:59.123848Z" + "iopub.execute_input": "2024-04-22T21:51:32.186104Z", + "iopub.status.busy": "2024-04-22T21:51:32.185700Z", + "iopub.status.idle": "2024-04-22T21:51:32.193161Z", + "shell.execute_reply": "2024-04-22T21:51:32.192748Z" } }, "outputs": [], @@ -336,10 +336,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.126270Z", - "iopub.status.busy": "2024-04-12T10:22:59.125985Z", - "iopub.status.idle": "2024-04-12T10:22:59.128442Z", - "shell.execute_reply": "2024-04-12T10:22:59.127995Z" + "iopub.execute_input": "2024-04-22T21:51:32.195312Z", + "iopub.status.busy": "2024-04-22T21:51:32.194999Z", + "iopub.status.idle": "2024-04-22T21:51:32.197529Z", + "shell.execute_reply": "2024-04-22T21:51:32.197023Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:22:59.130352Z", - "iopub.status.busy": "2024-04-12T10:22:59.130078Z", - "iopub.status.idle": "2024-04-12T10:23:02.059472Z", - "shell.execute_reply": "2024-04-12T10:23:02.058929Z" + "iopub.execute_input": "2024-04-22T21:51:32.199435Z", + "iopub.status.busy": "2024-04-22T21:51:32.199150Z", + "iopub.status.idle": "2024-04-22T21:51:35.084395Z", + "shell.execute_reply": "2024-04-22T21:51:35.083840Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:02.061993Z", - "iopub.status.busy": "2024-04-12T10:23:02.061809Z", - "iopub.status.idle": "2024-04-12T10:23:02.070821Z", - "shell.execute_reply": "2024-04-12T10:23:02.070396Z" + "iopub.execute_input": "2024-04-22T21:51:35.087388Z", + "iopub.status.busy": "2024-04-22T21:51:35.086784Z", + "iopub.status.idle": "2024-04-22T21:51:35.096592Z", + "shell.execute_reply": "2024-04-22T21:51:35.096028Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:02.072681Z", - "iopub.status.busy": "2024-04-12T10:23:02.072514Z", - "iopub.status.idle": "2024-04-12T10:23:03.803507Z", - "shell.execute_reply": "2024-04-12T10:23:03.802722Z" + "iopub.execute_input": "2024-04-22T21:51:35.098855Z", + "iopub.status.busy": "2024-04-22T21:51:35.098545Z", + "iopub.status.idle": "2024-04-22T21:51:36.951372Z", + "shell.execute_reply": "2024-04-22T21:51:36.950764Z" } }, "outputs": [ @@ -484,10 +484,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.807731Z", - "iopub.status.busy": "2024-04-12T10:23:03.806582Z", - "iopub.status.idle": "2024-04-12T10:23:03.831029Z", - "shell.execute_reply": "2024-04-12T10:23:03.830544Z" + "iopub.execute_input": "2024-04-22T21:51:36.954832Z", + "iopub.status.busy": "2024-04-22T21:51:36.953651Z", + "iopub.status.idle": "2024-04-22T21:51:36.978757Z", + "shell.execute_reply": "2024-04-22T21:51:36.978237Z" }, "scrolled": true }, @@ -612,10 +612,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.834532Z", - "iopub.status.busy": "2024-04-12T10:23:03.833614Z", - "iopub.status.idle": "2024-04-12T10:23:03.844635Z", - "shell.execute_reply": "2024-04-12T10:23:03.844136Z" + "iopub.execute_input": "2024-04-22T21:51:36.982500Z", + "iopub.status.busy": "2024-04-22T21:51:36.981541Z", + "iopub.status.idle": "2024-04-22T21:51:36.993046Z", + "shell.execute_reply": "2024-04-22T21:51:36.992546Z" } }, "outputs": [ @@ -719,10 +719,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.848084Z", - "iopub.status.busy": "2024-04-12T10:23:03.847167Z", - "iopub.status.idle": "2024-04-12T10:23:03.859666Z", - "shell.execute_reply": "2024-04-12T10:23:03.859174Z" + "iopub.execute_input": "2024-04-22T21:51:36.996643Z", + "iopub.status.busy": "2024-04-22T21:51:36.995720Z", + "iopub.status.idle": "2024-04-22T21:51:37.023004Z", + "shell.execute_reply": "2024-04-22T21:51:37.022451Z" } }, "outputs": [ @@ -851,10 +851,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.863155Z", - "iopub.status.busy": "2024-04-12T10:23:03.862233Z", - "iopub.status.idle": "2024-04-12T10:23:03.873268Z", - "shell.execute_reply": "2024-04-12T10:23:03.872780Z" + "iopub.execute_input": "2024-04-22T21:51:37.026730Z", + "iopub.status.busy": "2024-04-22T21:51:37.025808Z", + "iopub.status.idle": "2024-04-22T21:51:37.036398Z", + "shell.execute_reply": "2024-04-22T21:51:37.035969Z" } }, "outputs": [ @@ -968,10 +968,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.876729Z", - "iopub.status.busy": "2024-04-12T10:23:03.875798Z", - "iopub.status.idle": "2024-04-12T10:23:03.887403Z", - "shell.execute_reply": "2024-04-12T10:23:03.886965Z" + "iopub.execute_input": "2024-04-22T21:51:37.038786Z", + "iopub.status.busy": "2024-04-22T21:51:37.038383Z", + "iopub.status.idle": "2024-04-22T21:51:37.047559Z", + "shell.execute_reply": "2024-04-22T21:51:37.047025Z" } }, "outputs": [ @@ -1082,10 +1082,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.889683Z", - "iopub.status.busy": "2024-04-12T10:23:03.889167Z", - "iopub.status.idle": "2024-04-12T10:23:03.895719Z", - "shell.execute_reply": "2024-04-12T10:23:03.895310Z" + "iopub.execute_input": "2024-04-22T21:51:37.049653Z", + "iopub.status.busy": "2024-04-22T21:51:37.049474Z", + "iopub.status.idle": "2024-04-22T21:51:37.055941Z", + "shell.execute_reply": "2024-04-22T21:51:37.055355Z" } }, "outputs": [ @@ -1169,10 +1169,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.898036Z", - "iopub.status.busy": "2024-04-12T10:23:03.897526Z", - "iopub.status.idle": "2024-04-12T10:23:03.904252Z", - "shell.execute_reply": "2024-04-12T10:23:03.903696Z" + "iopub.execute_input": "2024-04-22T21:51:37.058225Z", + "iopub.status.busy": "2024-04-22T21:51:37.058039Z", + "iopub.status.idle": "2024-04-22T21:51:37.065083Z", + "shell.execute_reply": "2024-04-22T21:51:37.064535Z" } }, "outputs": [ @@ -1265,10 +1265,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:03.906352Z", - "iopub.status.busy": "2024-04-12T10:23:03.906014Z", - "iopub.status.idle": "2024-04-12T10:23:03.912600Z", - "shell.execute_reply": "2024-04-12T10:23:03.912048Z" + "iopub.execute_input": "2024-04-22T21:51:37.067163Z", + "iopub.status.busy": "2024-04-22T21:51:37.066986Z", + "iopub.status.idle": "2024-04-22T21:51:37.073953Z", + "shell.execute_reply": "2024-04-22T21:51:37.073376Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html index cdc2b2a8c..44c8e81f1 100644 --- a/master/tutorials/datalab/text.html +++ b/master/tutorials/datalab/text.html @@ -757,7 +757,7 @@

2. Load and format the text dataset 
 This dataset has 10 classes.
-Classes: {'visa_or_mastercard', 'getting_spare_card', 'cancel_transfer', 'card_about_to_expire', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'change_pin', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'apple_pay_or_google_pay'}
+Classes: {'change_pin', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'getting_spare_card', 'visa_or_mastercard', 'card_about_to_expire', 'beneficiary_not_allowed', 'apple_pay_or_google_pay', 'supported_cards_and_currencies'}

Let’s view the i-th example in the dataset:

diff --git a/master/tutorials/datalab/text.ipynb b/master/tutorials/datalab/text.ipynb index b55034951..84611b9e5 100644 --- a/master/tutorials/datalab/text.ipynb +++ b/master/tutorials/datalab/text.ipynb @@ -75,10 +75,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:06.427281Z", - "iopub.status.busy": "2024-04-12T10:23:06.426876Z", - "iopub.status.idle": "2024-04-12T10:23:09.029755Z", - "shell.execute_reply": "2024-04-12T10:23:09.029118Z" + "iopub.execute_input": "2024-04-22T21:51:40.356739Z", + "iopub.status.busy": "2024-04-22T21:51:40.356256Z", + "iopub.status.idle": "2024-04-22T21:51:43.003980Z", + "shell.execute_reply": "2024-04-22T21:51:43.003360Z" }, "nbsphinx": "hidden" }, @@ -96,7 +96,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -121,10 +121,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.032515Z", - "iopub.status.busy": "2024-04-12T10:23:09.032053Z", - "iopub.status.idle": "2024-04-12T10:23:09.035184Z", - "shell.execute_reply": "2024-04-12T10:23:09.034737Z" + "iopub.execute_input": "2024-04-22T21:51:43.006901Z", + "iopub.status.busy": "2024-04-22T21:51:43.006321Z", + "iopub.status.idle": "2024-04-22T21:51:43.009750Z", + "shell.execute_reply": "2024-04-22T21:51:43.009204Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.037235Z", - "iopub.status.busy": "2024-04-12T10:23:09.036820Z", - "iopub.status.idle": "2024-04-12T10:23:09.039983Z", - "shell.execute_reply": "2024-04-12T10:23:09.039423Z" + "iopub.execute_input": "2024-04-22T21:51:43.012098Z", + "iopub.status.busy": "2024-04-22T21:51:43.011690Z", + "iopub.status.idle": "2024-04-22T21:51:43.014667Z", + "shell.execute_reply": "2024-04-22T21:51:43.014245Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.042101Z", - "iopub.status.busy": "2024-04-12T10:23:09.041777Z", - "iopub.status.idle": "2024-04-12T10:23:09.064754Z", - "shell.execute_reply": "2024-04-12T10:23:09.064284Z" + "iopub.execute_input": "2024-04-22T21:51:43.016549Z", + "iopub.status.busy": "2024-04-22T21:51:43.016288Z", + "iopub.status.idle": "2024-04-22T21:51:43.164680Z", + "shell.execute_reply": "2024-04-22T21:51:43.164123Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.066706Z", - "iopub.status.busy": "2024-04-12T10:23:09.066381Z", - "iopub.status.idle": "2024-04-12T10:23:09.070154Z", - "shell.execute_reply": "2024-04-12T10:23:09.069708Z" + "iopub.execute_input": "2024-04-22T21:51:43.167167Z", + "iopub.status.busy": "2024-04-22T21:51:43.166656Z", + "iopub.status.idle": "2024-04-22T21:51:43.170586Z", + "shell.execute_reply": "2024-04-22T21:51:43.170050Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'getting_spare_card', 'cancel_transfer', 'card_about_to_expire', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'change_pin', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'apple_pay_or_google_pay'}\n" + "Classes: {'change_pin', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'getting_spare_card', 'visa_or_mastercard', 'card_about_to_expire', 'beneficiary_not_allowed', 'apple_pay_or_google_pay', 'supported_cards_and_currencies'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.072131Z", - "iopub.status.busy": "2024-04-12T10:23:09.071798Z", - "iopub.status.idle": "2024-04-12T10:23:09.075011Z", - "shell.execute_reply": "2024-04-12T10:23:09.074552Z" + "iopub.execute_input": "2024-04-22T21:51:43.172537Z", + "iopub.status.busy": "2024-04-22T21:51:43.172236Z", + "iopub.status.idle": "2024-04-22T21:51:43.175306Z", + "shell.execute_reply": "2024-04-22T21:51:43.174758Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:09.077022Z", - "iopub.status.busy": "2024-04-12T10:23:09.076701Z", - "iopub.status.idle": "2024-04-12T10:23:13.269837Z", - "shell.execute_reply": "2024-04-12T10:23:13.269288Z" + "iopub.execute_input": "2024-04-22T21:51:43.177262Z", + "iopub.status.busy": "2024-04-22T21:51:43.176962Z", + "iopub.status.idle": "2024-04-22T21:51:47.253572Z", + "shell.execute_reply": "2024-04-22T21:51:47.253008Z" } }, "outputs": [ @@ -424,10 +424,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:13.272512Z", - "iopub.status.busy": "2024-04-12T10:23:13.272302Z", - "iopub.status.idle": "2024-04-12T10:23:14.153647Z", - "shell.execute_reply": "2024-04-12T10:23:14.153063Z" + "iopub.execute_input": "2024-04-22T21:51:47.256521Z", + "iopub.status.busy": "2024-04-22T21:51:47.256105Z", + "iopub.status.idle": "2024-04-22T21:51:48.108153Z", + "shell.execute_reply": "2024-04-22T21:51:48.107582Z" }, "scrolled": true }, @@ -459,10 +459,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:14.156542Z", - "iopub.status.busy": "2024-04-12T10:23:14.156130Z", - "iopub.status.idle": "2024-04-12T10:23:14.159362Z", - "shell.execute_reply": "2024-04-12T10:23:14.158865Z" + "iopub.execute_input": "2024-04-22T21:51:48.111105Z", + "iopub.status.busy": "2024-04-22T21:51:48.110712Z", + "iopub.status.idle": "2024-04-22T21:51:48.113583Z", + "shell.execute_reply": "2024-04-22T21:51:48.113099Z" } }, "outputs": [], @@ -482,10 +482,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:14.162610Z", - "iopub.status.busy": "2024-04-12T10:23:14.161641Z", - "iopub.status.idle": "2024-04-12T10:23:15.689534Z", - "shell.execute_reply": "2024-04-12T10:23:15.687575Z" + "iopub.execute_input": "2024-04-22T21:51:48.116742Z", + "iopub.status.busy": "2024-04-22T21:51:48.115793Z", + "iopub.status.idle": "2024-04-22T21:51:49.663168Z", + "shell.execute_reply": "2024-04-22T21:51:49.662488Z" }, "scrolled": true }, @@ -538,10 +538,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.693551Z", - "iopub.status.busy": "2024-04-12T10:23:15.692383Z", - "iopub.status.idle": "2024-04-12T10:23:15.717902Z", - "shell.execute_reply": "2024-04-12T10:23:15.717395Z" + "iopub.execute_input": "2024-04-22T21:51:49.667351Z", + "iopub.status.busy": "2024-04-22T21:51:49.666183Z", + "iopub.status.idle": "2024-04-22T21:51:49.691256Z", + "shell.execute_reply": "2024-04-22T21:51:49.690748Z" }, "scrolled": true }, @@ -666,10 +666,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.721520Z", - "iopub.status.busy": "2024-04-12T10:23:15.720546Z", - "iopub.status.idle": "2024-04-12T10:23:15.732153Z", - "shell.execute_reply": "2024-04-12T10:23:15.731651Z" + "iopub.execute_input": "2024-04-22T21:51:49.694730Z", + "iopub.status.busy": "2024-04-22T21:51:49.693805Z", + "iopub.status.idle": "2024-04-22T21:51:49.705308Z", + "shell.execute_reply": "2024-04-22T21:51:49.704807Z" }, "scrolled": true }, @@ -779,10 +779,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.735681Z", - "iopub.status.busy": "2024-04-12T10:23:15.734758Z", - "iopub.status.idle": "2024-04-12T10:23:15.741347Z", - "shell.execute_reply": "2024-04-12T10:23:15.740783Z" + "iopub.execute_input": "2024-04-22T21:51:49.710635Z", + "iopub.status.busy": "2024-04-22T21:51:49.709458Z", + "iopub.status.idle": "2024-04-22T21:51:49.715631Z", + "shell.execute_reply": "2024-04-22T21:51:49.715222Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.743462Z", - "iopub.status.busy": "2024-04-12T10:23:15.743290Z", - "iopub.status.idle": "2024-04-12T10:23:15.750020Z", - "shell.execute_reply": "2024-04-12T10:23:15.749588Z" + "iopub.execute_input": "2024-04-22T21:51:49.718319Z", + "iopub.status.busy": "2024-04-22T21:51:49.717604Z", + "iopub.status.idle": "2024-04-22T21:51:49.724490Z", + "shell.execute_reply": "2024-04-22T21:51:49.724033Z" } }, "outputs": [ @@ -940,10 +940,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.751951Z", - "iopub.status.busy": "2024-04-12T10:23:15.751778Z", - "iopub.status.idle": "2024-04-12T10:23:15.759504Z", - "shell.execute_reply": "2024-04-12T10:23:15.758962Z" + "iopub.execute_input": "2024-04-22T21:51:49.726556Z", + "iopub.status.busy": "2024-04-22T21:51:49.726166Z", + "iopub.status.idle": "2024-04-22T21:51:49.733655Z", + "shell.execute_reply": "2024-04-22T21:51:49.733128Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.761525Z", - "iopub.status.busy": "2024-04-12T10:23:15.761228Z", - "iopub.status.idle": "2024-04-12T10:23:15.766791Z", - "shell.execute_reply": "2024-04-12T10:23:15.766345Z" + "iopub.execute_input": "2024-04-22T21:51:49.735666Z", + "iopub.status.busy": "2024-04-22T21:51:49.735340Z", + "iopub.status.idle": "2024-04-22T21:51:49.740979Z", + "shell.execute_reply": "2024-04-22T21:51:49.740540Z" } }, "outputs": [ @@ -1137,10 +1137,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.768741Z", - "iopub.status.busy": "2024-04-12T10:23:15.768567Z", - "iopub.status.idle": "2024-04-12T10:23:15.776936Z", - "shell.execute_reply": "2024-04-12T10:23:15.776363Z" + "iopub.execute_input": "2024-04-22T21:51:49.742755Z", + "iopub.status.busy": "2024-04-22T21:51:49.742591Z", + "iopub.status.idle": "2024-04-22T21:51:49.750544Z", + "shell.execute_reply": "2024-04-22T21:51:49.750120Z" } }, "outputs": [ @@ -1251,10 +1251,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.778954Z", - "iopub.status.busy": "2024-04-12T10:23:15.778634Z", - "iopub.status.idle": "2024-04-12T10:23:15.783810Z", - "shell.execute_reply": "2024-04-12T10:23:15.783326Z" + "iopub.execute_input": "2024-04-22T21:51:49.752328Z", + "iopub.status.busy": "2024-04-22T21:51:49.752159Z", + "iopub.status.idle": "2024-04-22T21:51:49.757501Z", + "shell.execute_reply": "2024-04-22T21:51:49.756971Z" } }, "outputs": [ @@ -1322,10 +1322,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.785946Z", - "iopub.status.busy": "2024-04-12T10:23:15.785523Z", - "iopub.status.idle": "2024-04-12T10:23:15.790899Z", - "shell.execute_reply": "2024-04-12T10:23:15.790347Z" + "iopub.execute_input": "2024-04-22T21:51:49.759333Z", + "iopub.status.busy": "2024-04-22T21:51:49.759164Z", + "iopub.status.idle": "2024-04-22T21:51:49.764568Z", + "shell.execute_reply": "2024-04-22T21:51:49.764142Z" } }, "outputs": [ @@ -1404,10 +1404,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.792909Z", - "iopub.status.busy": "2024-04-12T10:23:15.792605Z", - "iopub.status.idle": "2024-04-12T10:23:15.796003Z", - "shell.execute_reply": "2024-04-12T10:23:15.795537Z" + "iopub.execute_input": "2024-04-22T21:51:49.766407Z", + "iopub.status.busy": "2024-04-22T21:51:49.766239Z", + "iopub.status.idle": "2024-04-22T21:51:49.769764Z", + "shell.execute_reply": "2024-04-22T21:51:49.769227Z" } }, "outputs": [ @@ -1455,10 +1455,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:15.798137Z", - "iopub.status.busy": "2024-04-12T10:23:15.797742Z", - "iopub.status.idle": "2024-04-12T10:23:15.802907Z", - "shell.execute_reply": "2024-04-12T10:23:15.802434Z" + "iopub.execute_input": "2024-04-22T21:51:49.771840Z", + "iopub.status.busy": "2024-04-22T21:51:49.771518Z", + "iopub.status.idle": "2024-04-22T21:51:49.776457Z", + "shell.execute_reply": "2024-04-22T21:51:49.775959Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb index 9c7bad222..a9c040801 100644 --- a/master/tutorials/dataset_health.ipynb +++ b/master/tutorials/dataset_health.ipynb @@ -70,10 +70,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:18.919581Z", - "iopub.status.busy": "2024-04-12T10:23:18.919116Z", - "iopub.status.idle": "2024-04-12T10:23:19.982813Z", - "shell.execute_reply": "2024-04-12T10:23:19.982259Z" + "iopub.execute_input": "2024-04-22T21:51:52.984100Z", + "iopub.status.busy": "2024-04-22T21:51:52.983929Z", + "iopub.status.idle": "2024-04-22T21:51:54.076611Z", + "shell.execute_reply": "2024-04-22T21:51:54.075985Z" }, "nbsphinx": "hidden" }, @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -110,10 +110,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:19.985182Z", - "iopub.status.busy": "2024-04-12T10:23:19.984917Z", - "iopub.status.idle": "2024-04-12T10:23:19.987785Z", - "shell.execute_reply": "2024-04-12T10:23:19.987341Z" + "iopub.execute_input": "2024-04-22T21:51:54.079479Z", + "iopub.status.busy": "2024-04-22T21:51:54.079017Z", + "iopub.status.idle": "2024-04-22T21:51:54.082330Z", + "shell.execute_reply": "2024-04-22T21:51:54.081913Z" }, "id": "_UvI80l42iyi" }, @@ -203,10 +203,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:19.989851Z", - "iopub.status.busy": "2024-04-12T10:23:19.989685Z", - "iopub.status.idle": "2024-04-12T10:23:20.001529Z", - "shell.execute_reply": "2024-04-12T10:23:20.000980Z" + "iopub.execute_input": "2024-04-22T21:51:54.084483Z", + "iopub.status.busy": "2024-04-22T21:51:54.084311Z", + "iopub.status.idle": "2024-04-22T21:51:54.096267Z", + "shell.execute_reply": "2024-04-22T21:51:54.095730Z" }, "nbsphinx": "hidden" }, @@ -285,10 +285,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:20.003383Z", - "iopub.status.busy": "2024-04-12T10:23:20.003212Z", - "iopub.status.idle": "2024-04-12T10:23:26.272462Z", - "shell.execute_reply": "2024-04-12T10:23:26.271987Z" + "iopub.execute_input": "2024-04-22T21:51:54.098313Z", + "iopub.status.busy": "2024-04-22T21:51:54.098000Z", + "iopub.status.idle": "2024-04-22T21:51:58.808852Z", + "shell.execute_reply": "2024-04-22T21:51:58.808391Z" }, "id": "dhTHOg8Pyv5G" }, diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html index 9d4bdc357..4a8dfe1eb 100644 --- a/master/tutorials/faq.html +++ b/master/tutorials/faq.html @@ -797,13 +797,13 @@

How can I find label issues in big datasets with limited memory?
-
+
-
+
@@ -1706,7 +1706,7 @@

How to handle near-duplicate data identified by cleanlab? 
-/tmp/ipykernel_7808/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
+/tmp/ipykernel_7754/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
   to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values

@@ -1748,7 +1748,7 @@

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diff --git a/master/tutorials/faq.ipynb b/master/tutorials/faq.ipynb index 565ea8e49..169c6130f 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:28.176499Z", - "iopub.status.busy": "2024-04-12T10:23:28.176334Z", - "iopub.status.idle": "2024-04-12T10:23:29.247412Z", - "shell.execute_reply": "2024-04-12T10:23:29.246865Z" + "iopub.execute_input": "2024-04-22T21:52:00.971289Z", + "iopub.status.busy": "2024-04-22T21:52:00.971117Z", + "iopub.status.idle": "2024-04-22T21:52:02.051392Z", + "shell.execute_reply": "2024-04-22T21:52:02.050807Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:29.250183Z", - "iopub.status.busy": "2024-04-12T10:23:29.249745Z", - "iopub.status.idle": "2024-04-12T10:23:29.253136Z", - "shell.execute_reply": "2024-04-12T10:23:29.252676Z" + "iopub.execute_input": "2024-04-22T21:52:02.054107Z", + "iopub.status.busy": "2024-04-22T21:52:02.053656Z", + "iopub.status.idle": "2024-04-22T21:52:02.056979Z", + "shell.execute_reply": "2024-04-22T21:52:02.056523Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:29.255179Z", - "iopub.status.busy": "2024-04-12T10:23:29.254869Z", - "iopub.status.idle": "2024-04-12T10:23:32.165763Z", - "shell.execute_reply": "2024-04-12T10:23:32.165053Z" + "iopub.execute_input": "2024-04-22T21:52:02.059458Z", + "iopub.status.busy": "2024-04-22T21:52:02.059133Z", + "iopub.status.idle": "2024-04-22T21:52:05.038204Z", + "shell.execute_reply": "2024-04-22T21:52:05.037490Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.169073Z", - "iopub.status.busy": "2024-04-12T10:23:32.168350Z", - "iopub.status.idle": "2024-04-12T10:23:32.199721Z", - "shell.execute_reply": "2024-04-12T10:23:32.199154Z" + "iopub.execute_input": "2024-04-22T21:52:05.041290Z", + "iopub.status.busy": "2024-04-22T21:52:05.040716Z", + "iopub.status.idle": "2024-04-22T21:52:05.073377Z", + "shell.execute_reply": "2024-04-22T21:52:05.072787Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.202215Z", - "iopub.status.busy": "2024-04-12T10:23:32.201908Z", - "iopub.status.idle": "2024-04-12T10:23:32.229886Z", - "shell.execute_reply": "2024-04-12T10:23:32.229319Z" + "iopub.execute_input": "2024-04-22T21:52:05.076249Z", + "iopub.status.busy": "2024-04-22T21:52:05.075864Z", + "iopub.status.idle": "2024-04-22T21:52:05.106541Z", + "shell.execute_reply": "2024-04-22T21:52:05.105942Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.232504Z", - "iopub.status.busy": "2024-04-12T10:23:32.232096Z", - "iopub.status.idle": "2024-04-12T10:23:32.235155Z", - "shell.execute_reply": "2024-04-12T10:23:32.234684Z" + "iopub.execute_input": "2024-04-22T21:52:05.109149Z", + "iopub.status.busy": "2024-04-22T21:52:05.108865Z", + "iopub.status.idle": "2024-04-22T21:52:05.112065Z", + "shell.execute_reply": "2024-04-22T21:52:05.111595Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.237101Z", - "iopub.status.busy": "2024-04-12T10:23:32.236919Z", - "iopub.status.idle": "2024-04-12T10:23:32.239601Z", - "shell.execute_reply": "2024-04-12T10:23:32.239154Z" + "iopub.execute_input": "2024-04-22T21:52:05.114140Z", + "iopub.status.busy": "2024-04-22T21:52:05.113763Z", + "iopub.status.idle": "2024-04-22T21:52:05.116341Z", + "shell.execute_reply": "2024-04-22T21:52:05.115903Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.241598Z", - "iopub.status.busy": "2024-04-12T10:23:32.241420Z", - "iopub.status.idle": "2024-04-12T10:23:32.264434Z", - "shell.execute_reply": "2024-04-12T10:23:32.263866Z" + "iopub.execute_input": "2024-04-22T21:52:05.118435Z", + "iopub.status.busy": "2024-04-22T21:52:05.118123Z", + "iopub.status.idle": "2024-04-22T21:52:05.141692Z", + "shell.execute_reply": "2024-04-22T21:52:05.141143Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8c260bc1ea9743258848135604c9cd07", + "model_id": "0d01affcfd654e91bc4b3c12c4753ece", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "28e7b0cb6a8747838aa5a5c29c2d207f", + "model_id": "ecfa98554fac42d4b9d44a61144d1967", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.271267Z", - "iopub.status.busy": "2024-04-12T10:23:32.270917Z", - "iopub.status.idle": "2024-04-12T10:23:32.277479Z", - "shell.execute_reply": "2024-04-12T10:23:32.277056Z" + "iopub.execute_input": "2024-04-22T21:52:05.148575Z", + "iopub.status.busy": "2024-04-22T21:52:05.148402Z", + "iopub.status.idle": "2024-04-22T21:52:05.155067Z", + "shell.execute_reply": "2024-04-22T21:52:05.154509Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.279542Z", - "iopub.status.busy": "2024-04-12T10:23:32.279203Z", - "iopub.status.idle": "2024-04-12T10:23:32.282672Z", - "shell.execute_reply": "2024-04-12T10:23:32.282212Z" + "iopub.execute_input": "2024-04-22T21:52:05.157280Z", + "iopub.status.busy": "2024-04-22T21:52:05.156882Z", + "iopub.status.idle": "2024-04-22T21:52:05.160426Z", + "shell.execute_reply": "2024-04-22T21:52:05.159903Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.284674Z", - "iopub.status.busy": "2024-04-12T10:23:32.284288Z", - "iopub.status.idle": "2024-04-12T10:23:32.290577Z", - "shell.execute_reply": "2024-04-12T10:23:32.290040Z" + "iopub.execute_input": "2024-04-22T21:52:05.162479Z", + "iopub.status.busy": "2024-04-22T21:52:05.162048Z", + "iopub.status.idle": "2024-04-22T21:52:05.168341Z", + "shell.execute_reply": "2024-04-22T21:52:05.167863Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.292646Z", - "iopub.status.busy": "2024-04-12T10:23:32.292223Z", - "iopub.status.idle": "2024-04-12T10:23:32.324821Z", - "shell.execute_reply": "2024-04-12T10:23:32.324229Z" + "iopub.execute_input": "2024-04-22T21:52:05.170357Z", + "iopub.status.busy": "2024-04-22T21:52:05.169970Z", + "iopub.status.idle": "2024-04-22T21:52:05.206396Z", + "shell.execute_reply": "2024-04-22T21:52:05.205710Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.327334Z", - "iopub.status.busy": "2024-04-12T10:23:32.327095Z", - "iopub.status.idle": "2024-04-12T10:23:32.356377Z", - "shell.execute_reply": "2024-04-12T10:23:32.355672Z" + "iopub.execute_input": "2024-04-22T21:52:05.209421Z", + "iopub.status.busy": "2024-04-22T21:52:05.209118Z", + "iopub.status.idle": "2024-04-22T21:52:05.246322Z", + "shell.execute_reply": "2024-04-22T21:52:05.245738Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.359293Z", - "iopub.status.busy": "2024-04-12T10:23:32.358854Z", - "iopub.status.idle": "2024-04-12T10:23:32.476300Z", - "shell.execute_reply": "2024-04-12T10:23:32.475620Z" + "iopub.execute_input": "2024-04-22T21:52:05.249675Z", + "iopub.status.busy": "2024-04-22T21:52:05.249165Z", + "iopub.status.idle": "2024-04-22T21:52:05.367206Z", + "shell.execute_reply": "2024-04-22T21:52:05.366597Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:32.479308Z", - "iopub.status.busy": "2024-04-12T10:23:32.478540Z", - "iopub.status.idle": "2024-04-12T10:23:35.512512Z", - "shell.execute_reply": "2024-04-12T10:23:35.511934Z" + "iopub.execute_input": "2024-04-22T21:52:05.370149Z", + "iopub.status.busy": "2024-04-22T21:52:05.369388Z", + "iopub.status.idle": "2024-04-22T21:52:08.425820Z", + "shell.execute_reply": "2024-04-22T21:52:08.425236Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.514767Z", - "iopub.status.busy": "2024-04-12T10:23:35.514559Z", - "iopub.status.idle": "2024-04-12T10:23:35.569433Z", - "shell.execute_reply": "2024-04-12T10:23:35.568850Z" + "iopub.execute_input": "2024-04-22T21:52:08.428334Z", + "iopub.status.busy": "2024-04-22T21:52:08.427969Z", + "iopub.status.idle": "2024-04-22T21:52:08.484464Z", + "shell.execute_reply": "2024-04-22T21:52:08.483898Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.571859Z", - "iopub.status.busy": "2024-04-12T10:23:35.571454Z", - "iopub.status.idle": "2024-04-12T10:23:35.609363Z", - "shell.execute_reply": "2024-04-12T10:23:35.608783Z" + "iopub.execute_input": "2024-04-22T21:52:08.486528Z", + "iopub.status.busy": "2024-04-22T21:52:08.486195Z", + "iopub.status.idle": "2024-04-22T21:52:08.524318Z", + "shell.execute_reply": "2024-04-22T21:52:08.523834Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "9b42ee36", + "id": "c8f17b20", "metadata": {}, "source": [ "### How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?" @@ -1327,7 +1327,7 @@ }, { "cell_type": "markdown", - "id": "3d4d1251", + "id": "14004008", "metadata": {}, "source": [ "When detecting underperforming groups in a dataset, Datalab provides the option for passing pre-computed\n", @@ -1340,13 +1340,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "87bb2a34", + "id": "8d2a1e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.611896Z", - "iopub.status.busy": "2024-04-12T10:23:35.611457Z", - "iopub.status.idle": "2024-04-12T10:23:35.711759Z", - "shell.execute_reply": "2024-04-12T10:23:35.711251Z" + "iopub.execute_input": "2024-04-22T21:52:08.526275Z", + "iopub.status.busy": "2024-04-22T21:52:08.526097Z", + "iopub.status.idle": "2024-04-22T21:52:08.639122Z", + "shell.execute_reply": "2024-04-22T21:52:08.638496Z" } }, "outputs": [ @@ -1354,7 +1354,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding underperforming_group issues ...\n", + "Finding underperforming_group issues ...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "Audit complete. 0 issues found in the dataset.\n" ] @@ -1387,7 +1393,7 @@ }, { "cell_type": "markdown", - "id": "3a4977d0", + "id": "a9e1ae90", "metadata": {}, "source": [ "For a tabular dataset, you can alternatively use a categorical column's values as cluster IDs:" @@ -1396,13 +1402,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "0e8e3e4a", + "id": "744edcb3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.714369Z", - "iopub.status.busy": "2024-04-12T10:23:35.714073Z", - "iopub.status.idle": "2024-04-12T10:23:35.790798Z", - "shell.execute_reply": "2024-04-12T10:23:35.790269Z" + "iopub.execute_input": "2024-04-22T21:52:08.641537Z", + "iopub.status.busy": "2024-04-22T21:52:08.641290Z", + "iopub.status.idle": "2024-04-22T21:52:08.710633Z", + "shell.execute_reply": "2024-04-22T21:52:08.710104Z" } }, "outputs": [ @@ -1410,13 +1416,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding underperforming_group issues ...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Finding underperforming_group issues ...\n", "\n", "Audit complete. 0 issues found in the dataset.\n" ] @@ -1444,7 +1444,7 @@ }, { "cell_type": "markdown", - "id": "12960534", + "id": "b66f3ef5", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1455,13 +1455,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "89353571", + "id": "201e836f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.793275Z", - "iopub.status.busy": "2024-04-12T10:23:35.792931Z", - "iopub.status.idle": "2024-04-12T10:23:35.800499Z", - "shell.execute_reply": "2024-04-12T10:23:35.799927Z" + "iopub.execute_input": "2024-04-22T21:52:08.712864Z", + "iopub.status.busy": "2024-04-22T21:52:08.712685Z", + "iopub.status.idle": "2024-04-22T21:52:08.720218Z", + "shell.execute_reply": "2024-04-22T21:52:08.719681Z" } }, "outputs": [], @@ -1563,7 +1563,7 @@ }, { "cell_type": "markdown", - "id": "59b8a427", + "id": "85fd0060", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1578,13 +1578,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "33839777", + "id": "b2725995", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.802402Z", - "iopub.status.busy": "2024-04-12T10:23:35.802236Z", - "iopub.status.idle": "2024-04-12T10:23:35.819623Z", - "shell.execute_reply": "2024-04-12T10:23:35.819070Z" + "iopub.execute_input": "2024-04-22T21:52:08.722126Z", + "iopub.status.busy": "2024-04-22T21:52:08.721960Z", + "iopub.status.idle": "2024-04-22T21:52:08.741958Z", + "shell.execute_reply": "2024-04-22T21:52:08.741363Z" } }, "outputs": [ @@ -1601,7 +1601,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7808/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + "/tmp/ipykernel_7754/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", " to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values\n" ] } @@ -1635,13 +1635,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "8798fb52", + "id": "76ef1b38", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:35.821505Z", - "iopub.status.busy": "2024-04-12T10:23:35.821336Z", - "iopub.status.idle": "2024-04-12T10:23:35.824669Z", - "shell.execute_reply": "2024-04-12T10:23:35.824191Z" + "iopub.execute_input": "2024-04-22T21:52:08.744017Z", + "iopub.status.busy": "2024-04-22T21:52:08.743671Z", + "iopub.status.idle": "2024-04-22T21:52:08.747029Z", + "shell.execute_reply": "2024-04-22T21:52:08.746472Z" } }, "outputs": [ @@ -1736,23 +1736,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0a7860f5b87a46e4819fea6653dd9061": { - "model_module": "@jupyter-widgets/controls", - 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"iopub.execute_input": "2024-04-12T10:23:38.980369Z", - "iopub.status.busy": "2024-04-12T10:23:38.979963Z", - "iopub.status.idle": "2024-04-12T10:23:40.114205Z", - "shell.execute_reply": "2024-04-12T10:23:40.113605Z" + "iopub.execute_input": "2024-04-22T21:52:11.830493Z", + "iopub.status.busy": "2024-04-22T21:52:11.830091Z", + "iopub.status.idle": "2024-04-22T21:52:12.956551Z", + "shell.execute_reply": "2024-04-22T21:52:12.955935Z" }, "nbsphinx": "hidden" }, @@ -68,7 +68,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -95,10 +95,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.116704Z", - "iopub.status.busy": "2024-04-12T10:23:40.116446Z", - "iopub.status.idle": "2024-04-12T10:23:40.292321Z", - "shell.execute_reply": "2024-04-12T10:23:40.291818Z" + "iopub.execute_input": "2024-04-22T21:52:12.959088Z", + "iopub.status.busy": "2024-04-22T21:52:12.958772Z", + "iopub.status.idle": "2024-04-22T21:52:13.136515Z", + "shell.execute_reply": "2024-04-22T21:52:13.136003Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.294919Z", - "iopub.status.busy": "2024-04-12T10:23:40.294476Z", - "iopub.status.idle": "2024-04-12T10:23:40.306878Z", - "shell.execute_reply": "2024-04-12T10:23:40.306355Z" + "iopub.execute_input": "2024-04-22T21:52:13.139088Z", + "iopub.status.busy": "2024-04-22T21:52:13.138714Z", + "iopub.status.idle": "2024-04-22T21:52:13.150951Z", + "shell.execute_reply": "2024-04-22T21:52:13.150351Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.309026Z", - "iopub.status.busy": "2024-04-12T10:23:40.308721Z", - "iopub.status.idle": "2024-04-12T10:23:40.515012Z", - "shell.execute_reply": "2024-04-12T10:23:40.514466Z" + "iopub.execute_input": "2024-04-22T21:52:13.153342Z", + "iopub.status.busy": "2024-04-22T21:52:13.153000Z", + "iopub.status.idle": "2024-04-22T21:52:13.385524Z", + "shell.execute_reply": "2024-04-22T21:52:13.384918Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.517380Z", - "iopub.status.busy": "2024-04-12T10:23:40.517039Z", - "iopub.status.idle": "2024-04-12T10:23:40.543276Z", - "shell.execute_reply": "2024-04-12T10:23:40.542696Z" + "iopub.execute_input": "2024-04-22T21:52:13.388001Z", + "iopub.status.busy": "2024-04-22T21:52:13.387664Z", + "iopub.status.idle": "2024-04-22T21:52:13.413891Z", + "shell.execute_reply": "2024-04-22T21:52:13.413406Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:40.545521Z", - "iopub.status.busy": "2024-04-12T10:23:40.545217Z", - "iopub.status.idle": "2024-04-12T10:23:42.188216Z", - "shell.execute_reply": "2024-04-12T10:23:42.187564Z" + "iopub.execute_input": "2024-04-22T21:52:13.416344Z", + "iopub.status.busy": "2024-04-22T21:52:13.415900Z", + "iopub.status.idle": "2024-04-22T21:52:15.058789Z", + "shell.execute_reply": "2024-04-22T21:52:15.058131Z" } }, "outputs": [ @@ -483,10 +483,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:42.190670Z", - "iopub.status.busy": "2024-04-12T10:23:42.190275Z", - "iopub.status.idle": "2024-04-12T10:23:42.208368Z", - "shell.execute_reply": "2024-04-12T10:23:42.207906Z" + "iopub.execute_input": "2024-04-22T21:52:15.061515Z", + "iopub.status.busy": "2024-04-22T21:52:15.060989Z", + "iopub.status.idle": "2024-04-22T21:52:15.078595Z", + "shell.execute_reply": "2024-04-22T21:52:15.078151Z" }, "scrolled": true }, @@ -611,10 +611,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:42.210334Z", - "iopub.status.busy": "2024-04-12T10:23:42.210148Z", - "iopub.status.idle": "2024-04-12T10:23:43.587931Z", - "shell.execute_reply": "2024-04-12T10:23:43.587353Z" + "iopub.execute_input": "2024-04-22T21:52:15.080607Z", + "iopub.status.busy": "2024-04-22T21:52:15.080418Z", + "iopub.status.idle": "2024-04-22T21:52:16.466029Z", + "shell.execute_reply": "2024-04-22T21:52:16.465391Z" }, "id": "AaHC5MRKjruT" }, @@ -733,10 +733,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.590812Z", - "iopub.status.busy": "2024-04-12T10:23:43.590056Z", - "iopub.status.idle": "2024-04-12T10:23:43.603605Z", - "shell.execute_reply": "2024-04-12T10:23:43.603062Z" + "iopub.execute_input": "2024-04-22T21:52:16.469031Z", + "iopub.status.busy": "2024-04-22T21:52:16.468302Z", + "iopub.status.idle": "2024-04-22T21:52:16.482090Z", + "shell.execute_reply": "2024-04-22T21:52:16.481639Z" }, "id": "Wy27rvyhjruU" }, @@ -785,10 +785,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.605792Z", - "iopub.status.busy": "2024-04-12T10:23:43.605467Z", - "iopub.status.idle": "2024-04-12T10:23:43.677986Z", - "shell.execute_reply": "2024-04-12T10:23:43.677445Z" + "iopub.execute_input": "2024-04-22T21:52:16.484023Z", + "iopub.status.busy": "2024-04-22T21:52:16.483766Z", + "iopub.status.idle": "2024-04-22T21:52:16.552482Z", + "shell.execute_reply": "2024-04-22T21:52:16.551951Z" }, "id": "Db8YHnyVjruU" }, @@ -895,10 +895,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.680310Z", - "iopub.status.busy": "2024-04-12T10:23:43.679977Z", - "iopub.status.idle": "2024-04-12T10:23:43.891156Z", - "shell.execute_reply": "2024-04-12T10:23:43.890601Z" + "iopub.execute_input": "2024-04-22T21:52:16.554676Z", + "iopub.status.busy": "2024-04-22T21:52:16.554385Z", + "iopub.status.idle": "2024-04-22T21:52:16.762288Z", + "shell.execute_reply": "2024-04-22T21:52:16.761706Z" }, "id": "iJqAHuS2jruV" }, @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.893478Z", - "iopub.status.busy": "2024-04-12T10:23:43.893179Z", - "iopub.status.idle": "2024-04-12T10:23:43.909858Z", - "shell.execute_reply": "2024-04-12T10:23:43.909401Z" + "iopub.execute_input": "2024-04-22T21:52:16.764493Z", + "iopub.status.busy": "2024-04-22T21:52:16.764152Z", + "iopub.status.idle": "2024-04-22T21:52:16.780864Z", + "shell.execute_reply": "2024-04-22T21:52:16.780432Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1404,10 +1404,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.911908Z", - "iopub.status.busy": "2024-04-12T10:23:43.911646Z", - "iopub.status.idle": "2024-04-12T10:23:43.920955Z", - "shell.execute_reply": "2024-04-12T10:23:43.920504Z" + "iopub.execute_input": "2024-04-22T21:52:16.782917Z", + "iopub.status.busy": "2024-04-22T21:52:16.782584Z", + "iopub.status.idle": "2024-04-22T21:52:16.792037Z", + "shell.execute_reply": "2024-04-22T21:52:16.791625Z" }, "id": "0lonvOYvjruV" }, @@ -1554,10 +1554,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:43.922907Z", - "iopub.status.busy": "2024-04-12T10:23:43.922643Z", - "iopub.status.idle": "2024-04-12T10:23:44.006657Z", - "shell.execute_reply": "2024-04-12T10:23:44.006071Z" + "iopub.execute_input": "2024-04-22T21:52:16.794122Z", + "iopub.status.busy": "2024-04-22T21:52:16.793794Z", + "iopub.status.idle": "2024-04-22T21:52:16.874914Z", + "shell.execute_reply": "2024-04-22T21:52:16.874301Z" }, "id": "MfqTCa3kjruV" }, @@ -1638,10 +1638,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.009278Z", - "iopub.status.busy": "2024-04-12T10:23:44.008899Z", - "iopub.status.idle": "2024-04-12T10:23:44.127203Z", - "shell.execute_reply": "2024-04-12T10:23:44.126645Z" + "iopub.execute_input": "2024-04-22T21:52:16.877155Z", + "iopub.status.busy": "2024-04-22T21:52:16.876925Z", + "iopub.status.idle": "2024-04-22T21:52:16.992477Z", + "shell.execute_reply": "2024-04-22T21:52:16.991885Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1701,10 +1701,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.129686Z", - "iopub.status.busy": "2024-04-12T10:23:44.129298Z", - "iopub.status.idle": "2024-04-12T10:23:44.132944Z", - "shell.execute_reply": "2024-04-12T10:23:44.132412Z" + "iopub.execute_input": "2024-04-22T21:52:16.994722Z", + "iopub.status.busy": "2024-04-22T21:52:16.994500Z", + "iopub.status.idle": "2024-04-22T21:52:16.998468Z", + "shell.execute_reply": "2024-04-22T21:52:16.997916Z" }, "id": "0rXP3ZPWjruW" }, @@ -1742,10 +1742,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.135040Z", - "iopub.status.busy": "2024-04-12T10:23:44.134724Z", - "iopub.status.idle": "2024-04-12T10:23:44.138374Z", - "shell.execute_reply": "2024-04-12T10:23:44.137840Z" + "iopub.execute_input": "2024-04-22T21:52:17.000557Z", + "iopub.status.busy": "2024-04-22T21:52:17.000129Z", + "iopub.status.idle": "2024-04-22T21:52:17.003797Z", + "shell.execute_reply": "2024-04-22T21:52:17.003311Z" }, "id": "-iRPe8KXjruW" }, @@ -1800,10 +1800,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.140470Z", - "iopub.status.busy": "2024-04-12T10:23:44.140123Z", - "iopub.status.idle": "2024-04-12T10:23:44.177318Z", - "shell.execute_reply": "2024-04-12T10:23:44.176868Z" + "iopub.execute_input": "2024-04-22T21:52:17.005797Z", + "iopub.status.busy": "2024-04-22T21:52:17.005483Z", + "iopub.status.idle": "2024-04-22T21:52:17.042345Z", + "shell.execute_reply": "2024-04-22T21:52:17.041919Z" }, "id": "ZpipUliyjruW" }, @@ -1854,10 +1854,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.179387Z", - "iopub.status.busy": "2024-04-12T10:23:44.179056Z", - "iopub.status.idle": "2024-04-12T10:23:44.220995Z", - "shell.execute_reply": "2024-04-12T10:23:44.220521Z" + "iopub.execute_input": "2024-04-22T21:52:17.044348Z", + "iopub.status.busy": "2024-04-22T21:52:17.044024Z", + "iopub.status.idle": "2024-04-22T21:52:17.085292Z", + "shell.execute_reply": "2024-04-22T21:52:17.084825Z" }, "id": "SLq-3q4xjruX" }, @@ -1926,10 +1926,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.223026Z", - "iopub.status.busy": "2024-04-12T10:23:44.222634Z", - "iopub.status.idle": "2024-04-12T10:23:44.344379Z", - "shell.execute_reply": "2024-04-12T10:23:44.343810Z" + "iopub.execute_input": "2024-04-22T21:52:17.087291Z", + "iopub.status.busy": "2024-04-22T21:52:17.086967Z", + "iopub.status.idle": "2024-04-22T21:52:17.176249Z", + "shell.execute_reply": "2024-04-22T21:52:17.175547Z" }, "id": "g5LHhhuqFbXK" }, @@ -1961,10 +1961,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.346999Z", - "iopub.status.busy": "2024-04-12T10:23:44.346626Z", - "iopub.status.idle": "2024-04-12T10:23:44.430647Z", - "shell.execute_reply": "2024-04-12T10:23:44.430049Z" + "iopub.execute_input": "2024-04-22T21:52:17.178856Z", + "iopub.status.busy": "2024-04-22T21:52:17.178637Z", + "iopub.status.idle": "2024-04-22T21:52:17.262491Z", + "shell.execute_reply": "2024-04-22T21:52:17.261872Z" }, "id": "p7w8F8ezBcet" }, @@ -2021,10 +2021,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.432860Z", - "iopub.status.busy": "2024-04-12T10:23:44.432630Z", - "iopub.status.idle": "2024-04-12T10:23:44.644391Z", - "shell.execute_reply": "2024-04-12T10:23:44.643766Z" + "iopub.execute_input": "2024-04-22T21:52:17.264785Z", + "iopub.status.busy": "2024-04-22T21:52:17.264560Z", + "iopub.status.idle": "2024-04-22T21:52:17.475922Z", + "shell.execute_reply": "2024-04-22T21:52:17.475354Z" }, "id": "WETRL74tE_sU" }, @@ -2059,10 +2059,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.646431Z", - "iopub.status.busy": "2024-04-12T10:23:44.646241Z", - "iopub.status.idle": "2024-04-12T10:23:44.820382Z", - "shell.execute_reply": "2024-04-12T10:23:44.819803Z" + "iopub.execute_input": "2024-04-22T21:52:17.478110Z", + "iopub.status.busy": "2024-04-22T21:52:17.477794Z", + "iopub.status.idle": "2024-04-22T21:52:17.646943Z", + "shell.execute_reply": "2024-04-22T21:52:17.646312Z" }, "id": "kCfdx2gOLmXS" }, @@ -2224,10 +2224,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.822782Z", - "iopub.status.busy": "2024-04-12T10:23:44.822415Z", - "iopub.status.idle": "2024-04-12T10:23:44.828228Z", - "shell.execute_reply": "2024-04-12T10:23:44.827794Z" + "iopub.execute_input": "2024-04-22T21:52:17.649168Z", + "iopub.status.busy": "2024-04-22T21:52:17.648932Z", + "iopub.status.idle": "2024-04-22T21:52:17.654785Z", + "shell.execute_reply": "2024-04-22T21:52:17.654297Z" }, "id": "-uogYRWFYnuu" }, @@ -2281,10 +2281,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:44.830285Z", - "iopub.status.busy": "2024-04-12T10:23:44.829942Z", - "iopub.status.idle": "2024-04-12T10:23:45.040133Z", - "shell.execute_reply": "2024-04-12T10:23:45.039564Z" + "iopub.execute_input": "2024-04-22T21:52:17.656637Z", + "iopub.status.busy": "2024-04-22T21:52:17.656468Z", + "iopub.status.idle": "2024-04-22T21:52:17.870516Z", + "shell.execute_reply": "2024-04-22T21:52:17.869974Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2331,10 +2331,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:45.042281Z", - "iopub.status.busy": "2024-04-12T10:23:45.042094Z", - "iopub.status.idle": "2024-04-12T10:23:46.102368Z", - "shell.execute_reply": "2024-04-12T10:23:46.101824Z" + "iopub.execute_input": "2024-04-22T21:52:17.872858Z", + "iopub.status.busy": "2024-04-22T21:52:17.872517Z", + "iopub.status.idle": "2024-04-22T21:52:18.913739Z", + "shell.execute_reply": "2024-04-22T21:52:18.913203Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/tutorials/multiannotator.ipynb b/master/tutorials/multiannotator.ipynb index f7ea7efc2..edd8f20c7 100644 --- a/master/tutorials/multiannotator.ipynb +++ b/master/tutorials/multiannotator.ipynb @@ -88,10 +88,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:49.391078Z", - "iopub.status.busy": "2024-04-12T10:23:49.390898Z", - "iopub.status.idle": "2024-04-12T10:23:50.452554Z", - "shell.execute_reply": "2024-04-12T10:23:50.451899Z" + "iopub.execute_input": "2024-04-22T21:52:22.067981Z", + "iopub.status.busy": "2024-04-22T21:52:22.067499Z", + "iopub.status.idle": "2024-04-22T21:52:23.142423Z", + "shell.execute_reply": "2024-04-22T21:52:23.141935Z" }, "nbsphinx": "hidden" }, @@ -101,7 +101,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -135,10 +135,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.455137Z", - "iopub.status.busy": "2024-04-12T10:23:50.454867Z", - "iopub.status.idle": "2024-04-12T10:23:50.458040Z", - "shell.execute_reply": "2024-04-12T10:23:50.457590Z" + "iopub.execute_input": "2024-04-22T21:52:23.145178Z", + "iopub.status.busy": "2024-04-22T21:52:23.144708Z", + "iopub.status.idle": "2024-04-22T21:52:23.149596Z", + "shell.execute_reply": "2024-04-22T21:52:23.149011Z" } }, "outputs": [], @@ -263,10 +263,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.460013Z", - "iopub.status.busy": "2024-04-12T10:23:50.459842Z", - "iopub.status.idle": "2024-04-12T10:23:50.467796Z", - "shell.execute_reply": "2024-04-12T10:23:50.467373Z" + "iopub.execute_input": "2024-04-22T21:52:23.152027Z", + "iopub.status.busy": "2024-04-22T21:52:23.151691Z", + "iopub.status.idle": "2024-04-22T21:52:23.159217Z", + "shell.execute_reply": "2024-04-22T21:52:23.158758Z" }, "nbsphinx": "hidden" }, @@ -350,10 +350,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.469988Z", - "iopub.status.busy": "2024-04-12T10:23:50.469546Z", - "iopub.status.idle": "2024-04-12T10:23:50.515538Z", - "shell.execute_reply": "2024-04-12T10:23:50.515006Z" + "iopub.execute_input": "2024-04-22T21:52:23.161157Z", + "iopub.status.busy": "2024-04-22T21:52:23.160834Z", + "iopub.status.idle": "2024-04-22T21:52:23.208411Z", + "shell.execute_reply": "2024-04-22T21:52:23.207820Z" } }, "outputs": [], @@ -379,10 +379,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.518017Z", - "iopub.status.busy": "2024-04-12T10:23:50.517498Z", - "iopub.status.idle": "2024-04-12T10:23:50.534348Z", - "shell.execute_reply": "2024-04-12T10:23:50.533932Z" + "iopub.execute_input": "2024-04-22T21:52:23.210979Z", + "iopub.status.busy": "2024-04-22T21:52:23.210437Z", + "iopub.status.idle": "2024-04-22T21:52:23.228127Z", + "shell.execute_reply": "2024-04-22T21:52:23.227691Z" } }, "outputs": [ @@ -597,10 +597,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.536552Z", - "iopub.status.busy": "2024-04-12T10:23:50.536024Z", - "iopub.status.idle": "2024-04-12T10:23:50.539914Z", - "shell.execute_reply": "2024-04-12T10:23:50.539410Z" + "iopub.execute_input": "2024-04-22T21:52:23.230262Z", + "iopub.status.busy": "2024-04-22T21:52:23.229939Z", + "iopub.status.idle": "2024-04-22T21:52:23.233771Z", + "shell.execute_reply": "2024-04-22T21:52:23.233244Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.541990Z", - "iopub.status.busy": "2024-04-12T10:23:50.541690Z", - "iopub.status.idle": "2024-04-12T10:23:50.569850Z", - "shell.execute_reply": "2024-04-12T10:23:50.569413Z" + "iopub.execute_input": "2024-04-22T21:52:23.236101Z", + "iopub.status.busy": "2024-04-22T21:52:23.235790Z", + "iopub.status.idle": "2024-04-22T21:52:23.262480Z", + "shell.execute_reply": "2024-04-22T21:52:23.262054Z" } }, "outputs": [], @@ -698,10 +698,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.571828Z", - "iopub.status.busy": "2024-04-12T10:23:50.571565Z", - "iopub.status.idle": "2024-04-12T10:23:50.605713Z", - "shell.execute_reply": "2024-04-12T10:23:50.605219Z" + "iopub.execute_input": "2024-04-22T21:52:23.264611Z", + "iopub.status.busy": "2024-04-22T21:52:23.264271Z", + "iopub.status.idle": "2024-04-22T21:52:23.290370Z", + "shell.execute_reply": "2024-04-22T21:52:23.289938Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:50.607962Z", - "iopub.status.busy": "2024-04-12T10:23:50.607561Z", - "iopub.status.idle": "2024-04-12T10:23:52.306188Z", - "shell.execute_reply": "2024-04-12T10:23:52.305627Z" + "iopub.execute_input": "2024-04-22T21:52:23.292483Z", + "iopub.status.busy": "2024-04-22T21:52:23.292183Z", + "iopub.status.idle": "2024-04-22T21:52:24.991406Z", + "shell.execute_reply": "2024-04-22T21:52:24.990836Z" } }, "outputs": [], @@ -771,10 +771,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.308677Z", - "iopub.status.busy": "2024-04-12T10:23:52.308386Z", - "iopub.status.idle": "2024-04-12T10:23:52.315080Z", - "shell.execute_reply": "2024-04-12T10:23:52.314524Z" + "iopub.execute_input": "2024-04-22T21:52:24.994019Z", + "iopub.status.busy": "2024-04-22T21:52:24.993511Z", + "iopub.status.idle": "2024-04-22T21:52:25.000338Z", + "shell.execute_reply": "2024-04-22T21:52:24.999792Z" }, "scrolled": true }, @@ -885,10 +885,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.317228Z", - "iopub.status.busy": "2024-04-12T10:23:52.316897Z", - "iopub.status.idle": "2024-04-12T10:23:52.329370Z", - "shell.execute_reply": "2024-04-12T10:23:52.328859Z" + "iopub.execute_input": "2024-04-22T21:52:25.002483Z", + "iopub.status.busy": "2024-04-22T21:52:25.002156Z", + "iopub.status.idle": "2024-04-22T21:52:25.014567Z", + "shell.execute_reply": "2024-04-22T21:52:25.014009Z" } }, "outputs": [ @@ -1138,10 +1138,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.331436Z", - "iopub.status.busy": "2024-04-12T10:23:52.331116Z", - "iopub.status.idle": "2024-04-12T10:23:52.337220Z", - "shell.execute_reply": "2024-04-12T10:23:52.336798Z" + "iopub.execute_input": "2024-04-22T21:52:25.016679Z", + "iopub.status.busy": "2024-04-22T21:52:25.016371Z", + "iopub.status.idle": "2024-04-22T21:52:25.022682Z", + "shell.execute_reply": "2024-04-22T21:52:25.022244Z" }, "scrolled": true }, @@ -1315,10 +1315,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.339282Z", - "iopub.status.busy": "2024-04-12T10:23:52.338968Z", - "iopub.status.idle": "2024-04-12T10:23:52.341494Z", - "shell.execute_reply": "2024-04-12T10:23:52.341083Z" + "iopub.execute_input": "2024-04-22T21:52:25.024560Z", + "iopub.status.busy": "2024-04-22T21:52:25.024392Z", + "iopub.status.idle": "2024-04-22T21:52:25.027108Z", + "shell.execute_reply": "2024-04-22T21:52:25.026655Z" } }, "outputs": [], @@ -1340,10 +1340,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.343481Z", - "iopub.status.busy": "2024-04-12T10:23:52.343160Z", - "iopub.status.idle": "2024-04-12T10:23:52.346396Z", - "shell.execute_reply": "2024-04-12T10:23:52.345863Z" + "iopub.execute_input": "2024-04-22T21:52:25.029076Z", + "iopub.status.busy": "2024-04-22T21:52:25.028781Z", + "iopub.status.idle": "2024-04-22T21:52:25.032448Z", + "shell.execute_reply": "2024-04-22T21:52:25.031995Z" }, "scrolled": true }, @@ -1395,10 +1395,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.348429Z", - "iopub.status.busy": "2024-04-12T10:23:52.348077Z", - "iopub.status.idle": "2024-04-12T10:23:52.350624Z", - "shell.execute_reply": "2024-04-12T10:23:52.350198Z" + "iopub.execute_input": "2024-04-22T21:52:25.034438Z", + "iopub.status.busy": "2024-04-22T21:52:25.034120Z", + "iopub.status.idle": "2024-04-22T21:52:25.036635Z", + "shell.execute_reply": "2024-04-22T21:52:25.036214Z" } }, "outputs": [], @@ -1422,10 +1422,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.352699Z", - "iopub.status.busy": "2024-04-12T10:23:52.352320Z", - "iopub.status.idle": "2024-04-12T10:23:52.356683Z", - "shell.execute_reply": "2024-04-12T10:23:52.356215Z" + "iopub.execute_input": "2024-04-22T21:52:25.038645Z", + "iopub.status.busy": "2024-04-22T21:52:25.038236Z", + "iopub.status.idle": "2024-04-22T21:52:25.042384Z", + "shell.execute_reply": "2024-04-22T21:52:25.041846Z" } }, "outputs": [ @@ -1480,10 +1480,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.358693Z", - "iopub.status.busy": "2024-04-12T10:23:52.358359Z", - "iopub.status.idle": "2024-04-12T10:23:52.387430Z", - "shell.execute_reply": "2024-04-12T10:23:52.386890Z" + "iopub.execute_input": "2024-04-22T21:52:25.044378Z", + "iopub.status.busy": "2024-04-22T21:52:25.044085Z", + "iopub.status.idle": "2024-04-22T21:52:25.072997Z", + "shell.execute_reply": "2024-04-22T21:52:25.072415Z" } }, "outputs": [], @@ -1526,10 +1526,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:52.389694Z", - "iopub.status.busy": "2024-04-12T10:23:52.389405Z", - "iopub.status.idle": "2024-04-12T10:23:52.393990Z", - "shell.execute_reply": "2024-04-12T10:23:52.393438Z" + "iopub.execute_input": "2024-04-22T21:52:25.075315Z", + "iopub.status.busy": "2024-04-22T21:52:25.074970Z", + "iopub.status.idle": "2024-04-22T21:52:25.079626Z", + "shell.execute_reply": "2024-04-22T21:52:25.079165Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/multilabel_classification.ipynb b/master/tutorials/multilabel_classification.ipynb index 65f1d180e..25052b0fd 100644 --- a/master/tutorials/multilabel_classification.ipynb +++ b/master/tutorials/multilabel_classification.ipynb @@ -64,10 +64,10 @@ "id": "7383d024-8273-4039-bccd-aab3020d331f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:55.175052Z", - "iopub.status.busy": "2024-04-12T10:23:55.174880Z", - "iopub.status.idle": "2024-04-12T10:23:56.293270Z", - "shell.execute_reply": "2024-04-12T10:23:56.292722Z" + "iopub.execute_input": "2024-04-22T21:52:27.871661Z", + "iopub.status.busy": "2024-04-22T21:52:27.871503Z", + "iopub.status.idle": "2024-04-22T21:52:28.987816Z", + "shell.execute_reply": "2024-04-22T21:52:28.987286Z" }, "nbsphinx": "hidden" }, @@ -79,7 +79,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -105,10 +105,10 @@ "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:56.295811Z", - "iopub.status.busy": "2024-04-12T10:23:56.295427Z", - "iopub.status.idle": "2024-04-12T10:23:56.484825Z", - "shell.execute_reply": "2024-04-12T10:23:56.484201Z" + "iopub.execute_input": "2024-04-22T21:52:28.990431Z", + "iopub.status.busy": "2024-04-22T21:52:28.990030Z", + "iopub.status.idle": "2024-04-22T21:52:29.183019Z", + "shell.execute_reply": "2024-04-22T21:52:29.182448Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:56.487488Z", - "iopub.status.busy": "2024-04-12T10:23:56.487089Z", - "iopub.status.idle": "2024-04-12T10:23:56.500074Z", - "shell.execute_reply": "2024-04-12T10:23:56.499549Z" + "iopub.execute_input": "2024-04-22T21:52:29.185640Z", + "iopub.status.busy": "2024-04-22T21:52:29.185241Z", + "iopub.status.idle": "2024-04-22T21:52:29.198498Z", + "shell.execute_reply": "2024-04-22T21:52:29.198038Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:56.502218Z", - "iopub.status.busy": "2024-04-12T10:23:56.501834Z", - "iopub.status.idle": "2024-04-12T10:23:59.122623Z", - "shell.execute_reply": "2024-04-12T10:23:59.122125Z" + "iopub.execute_input": "2024-04-22T21:52:29.200404Z", + "iopub.status.busy": "2024-04-22T21:52:29.200226Z", + "iopub.status.idle": "2024-04-22T21:52:31.836938Z", + "shell.execute_reply": "2024-04-22T21:52:31.836353Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:23:59.124863Z", - "iopub.status.busy": "2024-04-12T10:23:59.124542Z", - "iopub.status.idle": "2024-04-12T10:24:00.449018Z", - "shell.execute_reply": "2024-04-12T10:24:00.448472Z" + "iopub.execute_input": "2024-04-22T21:52:31.839072Z", + "iopub.status.busy": "2024-04-22T21:52:31.838839Z", + "iopub.status.idle": "2024-04-22T21:52:33.167293Z", + "shell.execute_reply": "2024-04-22T21:52:33.166650Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:00.451459Z", - "iopub.status.busy": "2024-04-12T10:24:00.451135Z", - "iopub.status.idle": "2024-04-12T10:24:00.455264Z", - "shell.execute_reply": "2024-04-12T10:24:00.454807Z" + "iopub.execute_input": "2024-04-22T21:52:33.169786Z", + "iopub.status.busy": "2024-04-22T21:52:33.169588Z", + "iopub.status.idle": "2024-04-22T21:52:33.173702Z", + "shell.execute_reply": "2024-04-22T21:52:33.173237Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:00.457156Z", - "iopub.status.busy": "2024-04-12T10:24:00.456986Z", - "iopub.status.idle": "2024-04-12T10:24:02.203830Z", - "shell.execute_reply": "2024-04-12T10:24:02.203195Z" + "iopub.execute_input": "2024-04-22T21:52:33.175586Z", + "iopub.status.busy": "2024-04-22T21:52:33.175403Z", + "iopub.status.idle": "2024-04-22T21:52:34.903849Z", + "shell.execute_reply": "2024-04-22T21:52:34.903269Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:02.206204Z", - "iopub.status.busy": "2024-04-12T10:24:02.205840Z", - "iopub.status.idle": "2024-04-12T10:24:02.213889Z", - "shell.execute_reply": "2024-04-12T10:24:02.213422Z" + "iopub.execute_input": "2024-04-22T21:52:34.906320Z", + "iopub.status.busy": "2024-04-22T21:52:34.905957Z", + "iopub.status.idle": "2024-04-22T21:52:34.913712Z", + "shell.execute_reply": "2024-04-22T21:52:34.913204Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:02.216020Z", - "iopub.status.busy": "2024-04-12T10:24:02.215598Z", - "iopub.status.idle": "2024-04-12T10:24:04.765736Z", - "shell.execute_reply": "2024-04-12T10:24:04.765135Z" + "iopub.execute_input": "2024-04-22T21:52:34.915746Z", + "iopub.status.busy": "2024-04-22T21:52:34.915441Z", + "iopub.status.idle": "2024-04-22T21:52:37.497915Z", + "shell.execute_reply": "2024-04-22T21:52:37.497397Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:04.767846Z", - "iopub.status.busy": "2024-04-12T10:24:04.767636Z", - "iopub.status.idle": "2024-04-12T10:24:04.771503Z", - "shell.execute_reply": "2024-04-12T10:24:04.771040Z" + "iopub.execute_input": "2024-04-22T21:52:37.500331Z", + "iopub.status.busy": "2024-04-22T21:52:37.499958Z", + "iopub.status.idle": "2024-04-22T21:52:37.503499Z", + "shell.execute_reply": "2024-04-22T21:52:37.502992Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:04.773387Z", - "iopub.status.busy": "2024-04-12T10:24:04.773217Z", - "iopub.status.idle": "2024-04-12T10:24:04.777237Z", - "shell.execute_reply": "2024-04-12T10:24:04.776790Z" + "iopub.execute_input": "2024-04-22T21:52:37.505636Z", + "iopub.status.busy": "2024-04-22T21:52:37.505214Z", + "iopub.status.idle": "2024-04-22T21:52:37.509388Z", + "shell.execute_reply": "2024-04-22T21:52:37.508908Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:04.779284Z", - "iopub.status.busy": "2024-04-12T10:24:04.778862Z", - "iopub.status.idle": "2024-04-12T10:24:04.781859Z", - "shell.execute_reply": "2024-04-12T10:24:04.781434Z" + "iopub.execute_input": "2024-04-22T21:52:37.511366Z", + "iopub.status.busy": "2024-04-22T21:52:37.511060Z", + "iopub.status.idle": "2024-04-22T21:52:37.514206Z", + "shell.execute_reply": "2024-04-22T21:52:37.513660Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/object_detection.ipynb b/master/tutorials/object_detection.ipynb index b2fe475ee..01cc635e5 100644 --- a/master/tutorials/object_detection.ipynb +++ b/master/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:07.097281Z", - "iopub.status.busy": "2024-04-12T10:24:07.096933Z", - "iopub.status.idle": "2024-04-12T10:24:08.212553Z", - "shell.execute_reply": "2024-04-12T10:24:08.212007Z" + "iopub.execute_input": "2024-04-22T21:52:39.874959Z", + "iopub.status.busy": "2024-04-22T21:52:39.874768Z", + "iopub.status.idle": "2024-04-22T21:52:41.002190Z", + "shell.execute_reply": "2024-04-22T21:52:41.001578Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -109,10 +109,10 @@ "id": "c90449c8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:08.215102Z", - "iopub.status.busy": "2024-04-12T10:24:08.214711Z", - "iopub.status.idle": "2024-04-12T10:24:10.950953Z", - "shell.execute_reply": "2024-04-12T10:24:10.950282Z" + "iopub.execute_input": "2024-04-22T21:52:41.004829Z", + "iopub.status.busy": "2024-04-22T21:52:41.004587Z", + "iopub.status.idle": "2024-04-22T21:52:42.502836Z", + "shell.execute_reply": "2024-04-22T21:52:42.502157Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:10.953725Z", - "iopub.status.busy": "2024-04-12T10:24:10.953344Z", - "iopub.status.idle": "2024-04-12T10:24:10.956460Z", - "shell.execute_reply": "2024-04-12T10:24:10.956013Z" + "iopub.execute_input": "2024-04-22T21:52:42.505492Z", + "iopub.status.busy": "2024-04-22T21:52:42.505092Z", + "iopub.status.idle": "2024-04-22T21:52:42.508264Z", + "shell.execute_reply": "2024-04-22T21:52:42.507828Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:10.958480Z", - "iopub.status.busy": "2024-04-12T10:24:10.958155Z", - "iopub.status.idle": "2024-04-12T10:24:10.964418Z", - "shell.execute_reply": "2024-04-12T10:24:10.963977Z" + "iopub.execute_input": "2024-04-22T21:52:42.510261Z", + "iopub.status.busy": "2024-04-22T21:52:42.509930Z", + "iopub.status.idle": "2024-04-22T21:52:42.516878Z", + "shell.execute_reply": "2024-04-22T21:52:42.516462Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:10.966556Z", - "iopub.status.busy": "2024-04-12T10:24:10.966227Z", - "iopub.status.idle": "2024-04-12T10:24:11.451698Z", - "shell.execute_reply": "2024-04-12T10:24:11.451066Z" + "iopub.execute_input": "2024-04-22T21:52:42.518847Z", + "iopub.status.busy": "2024-04-22T21:52:42.518514Z", + "iopub.status.idle": "2024-04-22T21:52:43.005619Z", + "shell.execute_reply": "2024-04-22T21:52:43.005051Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:11.454681Z", - "iopub.status.busy": "2024-04-12T10:24:11.454271Z", - "iopub.status.idle": "2024-04-12T10:24:11.459580Z", - "shell.execute_reply": "2024-04-12T10:24:11.459100Z" + "iopub.execute_input": "2024-04-22T21:52:43.008477Z", + "iopub.status.busy": "2024-04-22T21:52:43.008132Z", + "iopub.status.idle": "2024-04-22T21:52:43.013203Z", + "shell.execute_reply": "2024-04-22T21:52:43.012773Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:11.461685Z", - "iopub.status.busy": "2024-04-12T10:24:11.461362Z", - "iopub.status.idle": "2024-04-12T10:24:11.465128Z", - "shell.execute_reply": "2024-04-12T10:24:11.464646Z" + "iopub.execute_input": "2024-04-22T21:52:43.014993Z", + "iopub.status.busy": "2024-04-22T21:52:43.014809Z", + "iopub.status.idle": "2024-04-22T21:52:43.018689Z", + "shell.execute_reply": "2024-04-22T21:52:43.018168Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:11.467197Z", - "iopub.status.busy": "2024-04-12T10:24:11.466872Z", - "iopub.status.idle": "2024-04-12T10:24:12.125116Z", - "shell.execute_reply": "2024-04-12T10:24:12.124486Z" + "iopub.execute_input": "2024-04-22T21:52:43.020739Z", + "iopub.status.busy": "2024-04-22T21:52:43.020342Z", + "iopub.status.idle": "2024-04-22T21:52:43.740955Z", + "shell.execute_reply": "2024-04-22T21:52:43.740423Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.127345Z", - "iopub.status.busy": "2024-04-12T10:24:12.127144Z", - "iopub.status.idle": "2024-04-12T10:24:12.299269Z", - "shell.execute_reply": "2024-04-12T10:24:12.298836Z" + "iopub.execute_input": "2024-04-22T21:52:43.743337Z", + "iopub.status.busy": "2024-04-22T21:52:43.742962Z", + "iopub.status.idle": "2024-04-22T21:52:43.996488Z", + "shell.execute_reply": "2024-04-22T21:52:43.995921Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.301260Z", - "iopub.status.busy": "2024-04-12T10:24:12.301079Z", - "iopub.status.idle": "2024-04-12T10:24:12.305435Z", - "shell.execute_reply": "2024-04-12T10:24:12.304991Z" + "iopub.execute_input": "2024-04-22T21:52:43.998707Z", + "iopub.status.busy": "2024-04-22T21:52:43.998370Z", + "iopub.status.idle": "2024-04-22T21:52:44.002592Z", + "shell.execute_reply": "2024-04-22T21:52:44.002163Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.307363Z", - "iopub.status.busy": "2024-04-12T10:24:12.307187Z", - "iopub.status.idle": "2024-04-12T10:24:12.752036Z", - "shell.execute_reply": "2024-04-12T10:24:12.751469Z" + "iopub.execute_input": "2024-04-22T21:52:44.004706Z", + "iopub.status.busy": "2024-04-22T21:52:44.004389Z", + "iopub.status.idle": "2024-04-22T21:52:44.456572Z", + "shell.execute_reply": "2024-04-22T21:52:44.456005Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:12.755169Z", - "iopub.status.busy": "2024-04-12T10:24:12.754969Z", - "iopub.status.idle": "2024-04-12T10:24:13.087409Z", - "shell.execute_reply": "2024-04-12T10:24:13.086834Z" + "iopub.execute_input": "2024-04-22T21:52:44.459190Z", + "iopub.status.busy": "2024-04-22T21:52:44.458832Z", + "iopub.status.idle": "2024-04-22T21:52:44.790719Z", + "shell.execute_reply": "2024-04-22T21:52:44.790179Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:13.089853Z", - "iopub.status.busy": "2024-04-12T10:24:13.089643Z", - "iopub.status.idle": "2024-04-12T10:24:13.420095Z", - "shell.execute_reply": "2024-04-12T10:24:13.419497Z" + "iopub.execute_input": "2024-04-22T21:52:44.793608Z", + "iopub.status.busy": "2024-04-22T21:52:44.793244Z", + "iopub.status.idle": "2024-04-22T21:52:45.152105Z", + "shell.execute_reply": "2024-04-22T21:52:45.151487Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:13.423524Z", - "iopub.status.busy": "2024-04-12T10:24:13.423020Z", - "iopub.status.idle": "2024-04-12T10:24:13.834773Z", - "shell.execute_reply": "2024-04-12T10:24:13.834169Z" + "iopub.execute_input": "2024-04-22T21:52:45.155344Z", + "iopub.status.busy": "2024-04-22T21:52:45.154983Z", + "iopub.status.idle": "2024-04-22T21:52:45.562774Z", + "shell.execute_reply": "2024-04-22T21:52:45.562226Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:13.838759Z", - "iopub.status.busy": "2024-04-12T10:24:13.838433Z", - "iopub.status.idle": "2024-04-12T10:24:14.282152Z", - "shell.execute_reply": "2024-04-12T10:24:14.281540Z" + "iopub.execute_input": "2024-04-22T21:52:45.567064Z", + "iopub.status.busy": "2024-04-22T21:52:45.566562Z", + "iopub.status.idle": "2024-04-22T21:52:45.988534Z", + "shell.execute_reply": "2024-04-22T21:52:45.987907Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.284971Z", - "iopub.status.busy": "2024-04-12T10:24:14.284579Z", - "iopub.status.idle": "2024-04-12T10:24:14.496527Z", - "shell.execute_reply": "2024-04-12T10:24:14.495932Z" + "iopub.execute_input": "2024-04-22T21:52:45.991231Z", + "iopub.status.busy": "2024-04-22T21:52:45.990782Z", + "iopub.status.idle": "2024-04-22T21:52:46.204068Z", + "shell.execute_reply": "2024-04-22T21:52:46.203517Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.498802Z", - "iopub.status.busy": "2024-04-12T10:24:14.498448Z", - "iopub.status.idle": "2024-04-12T10:24:14.697524Z", - "shell.execute_reply": "2024-04-12T10:24:14.697045Z" + "iopub.execute_input": "2024-04-22T21:52:46.206235Z", + "iopub.status.busy": "2024-04-22T21:52:46.206054Z", + "iopub.status.idle": "2024-04-22T21:52:46.404266Z", + "shell.execute_reply": "2024-04-22T21:52:46.403693Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.699593Z", - "iopub.status.busy": "2024-04-12T10:24:14.699404Z", - "iopub.status.idle": "2024-04-12T10:24:14.702238Z", - "shell.execute_reply": "2024-04-12T10:24:14.701789Z" + "iopub.execute_input": "2024-04-22T21:52:46.406359Z", + "iopub.status.busy": "2024-04-22T21:52:46.406181Z", + "iopub.status.idle": "2024-04-22T21:52:46.409147Z", + "shell.execute_reply": "2024-04-22T21:52:46.408688Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:14.704154Z", - "iopub.status.busy": "2024-04-12T10:24:14.703979Z", - "iopub.status.idle": "2024-04-12T10:24:15.665918Z", - "shell.execute_reply": "2024-04-12T10:24:15.665388Z" + "iopub.execute_input": "2024-04-22T21:52:46.410919Z", + "iopub.status.busy": "2024-04-22T21:52:46.410739Z", + "iopub.status.idle": "2024-04-22T21:52:47.354011Z", + "shell.execute_reply": "2024-04-22T21:52:47.353447Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:15.668649Z", - "iopub.status.busy": "2024-04-12T10:24:15.668325Z", - "iopub.status.idle": "2024-04-12T10:24:15.847432Z", - "shell.execute_reply": "2024-04-12T10:24:15.846883Z" + "iopub.execute_input": "2024-04-22T21:52:47.356366Z", + "iopub.status.busy": "2024-04-22T21:52:47.356183Z", + "iopub.status.idle": "2024-04-22T21:52:47.520348Z", + "shell.execute_reply": "2024-04-22T21:52:47.519913Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:15.849530Z", - "iopub.status.busy": "2024-04-12T10:24:15.849349Z", - "iopub.status.idle": "2024-04-12T10:24:15.966721Z", - "shell.execute_reply": "2024-04-12T10:24:15.966284Z" + "iopub.execute_input": "2024-04-22T21:52:47.522432Z", + "iopub.status.busy": "2024-04-22T21:52:47.522132Z", + "iopub.status.idle": "2024-04-22T21:52:47.636759Z", + "shell.execute_reply": "2024-04-22T21:52:47.636341Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:15.968766Z", - "iopub.status.busy": "2024-04-12T10:24:15.968587Z", - "iopub.status.idle": "2024-04-12T10:24:16.706556Z", - "shell.execute_reply": "2024-04-12T10:24:16.706054Z" + "iopub.execute_input": "2024-04-22T21:52:47.638829Z", + "iopub.status.busy": "2024-04-22T21:52:47.638531Z", + "iopub.status.idle": "2024-04-22T21:52:48.327849Z", + "shell.execute_reply": "2024-04-22T21:52:48.327332Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:16.708878Z", - "iopub.status.busy": "2024-04-12T10:24:16.708548Z", - "iopub.status.idle": "2024-04-12T10:24:16.711993Z", - "shell.execute_reply": "2024-04-12T10:24:16.711572Z" + "iopub.execute_input": "2024-04-22T21:52:48.330017Z", + "iopub.status.busy": "2024-04-22T21:52:48.329837Z", + "iopub.status.idle": "2024-04-22T21:52:48.333357Z", + "shell.execute_reply": "2024-04-22T21:52:48.332930Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/outliers.html b/master/tutorials/outliers.html index 61c1ffae0..f16ef0883 100644 --- a/master/tutorials/outliers.html +++ b/master/tutorials/outliers.html @@ -746,7 +746,7 @@

2. Pre-process the Cifar10 dataset 
-100%|██████████| 170498071/170498071 [00:04<00:00, 41711758.77it/s]
+100%|██████████| 170498071/170498071 [00:01<00:00, 106705501.09it/s]
@@ -876,7 +876,7 @@

3. Use cleanlab and feature embeddings to find outliers in the data

-
+
@@ -1090,7 +1090,7 @@

4. Use cleanlab and here.

diff --git a/master/tutorials/outliers.ipynb b/master/tutorials/outliers.ipynb index fee58017c..7ceae64d3 100644 --- a/master/tutorials/outliers.ipynb +++ b/master/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:18.938915Z", - "iopub.status.busy": "2024-04-12T10:24:18.938732Z", - "iopub.status.idle": "2024-04-12T10:24:21.616346Z", - "shell.execute_reply": "2024-04-12T10:24:21.615740Z" + "iopub.execute_input": "2024-04-22T21:52:50.554233Z", + "iopub.status.busy": "2024-04-22T21:52:50.553814Z", + "iopub.status.idle": "2024-04-22T21:52:53.231577Z", + "shell.execute_reply": "2024-04-22T21:52:53.230911Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "id": "4396f544", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:21.618912Z", - "iopub.status.busy": "2024-04-12T10:24:21.618617Z", - "iopub.status.idle": "2024-04-12T10:24:21.936376Z", - "shell.execute_reply": "2024-04-12T10:24:21.935799Z" + "iopub.execute_input": "2024-04-22T21:52:53.234178Z", + "iopub.status.busy": "2024-04-22T21:52:53.233772Z", + "iopub.status.idle": "2024-04-22T21:52:53.557178Z", + "shell.execute_reply": "2024-04-22T21:52:53.556628Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:21.938714Z", - "iopub.status.busy": "2024-04-12T10:24:21.938426Z", - "iopub.status.idle": "2024-04-12T10:24:21.942588Z", - "shell.execute_reply": "2024-04-12T10:24:21.942060Z" + "iopub.execute_input": "2024-04-22T21:52:53.559861Z", + "iopub.status.busy": "2024-04-22T21:52:53.559444Z", + "iopub.status.idle": "2024-04-22T21:52:53.563646Z", + "shell.execute_reply": "2024-04-22T21:52:53.563119Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:21.944789Z", - "iopub.status.busy": "2024-04-12T10:24:21.944364Z", - "iopub.status.idle": "2024-04-12T10:24:29.222246Z", - "shell.execute_reply": "2024-04-12T10:24:29.221744Z" + "iopub.execute_input": "2024-04-22T21:52:53.565528Z", + "iopub.status.busy": "2024-04-22T21:52:53.565355Z", + "iopub.status.idle": "2024-04-22T21:52:57.764311Z", + "shell.execute_reply": "2024-04-22T21:52:57.763806Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 32768/170498071 [00:00<10:56, 259731.90it/s]" + " 1%|▏ | 2392064/170498071 [00:00<00:07, 23857808.75it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 229376/170498071 [00:00<02:48, 1010343.37it/s]" + " 8%|▊ | 13991936/170498071 [00:00<00:02, 77849170.46it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 884736/170498071 [00:00<00:58, 2895573.18it/s]" + " 15%|█▍ | 25395200/170498071 [00:00<00:01, 94277574.59it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - 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"iopub.execute_input": "2024-04-12T10:24:29.230901Z", - "iopub.status.busy": "2024-04-12T10:24:29.230497Z", - "iopub.status.idle": "2024-04-12T10:24:29.753754Z", - "shell.execute_reply": "2024-04-12T10:24:29.753156Z" + "iopub.execute_input": "2024-04-22T21:52:57.772635Z", + "iopub.status.busy": "2024-04-22T21:52:57.772461Z", + "iopub.status.idle": "2024-04-22T21:52:58.314810Z", + "shell.execute_reply": "2024-04-22T21:52:58.314208Z" } }, "outputs": [ @@ -764,10 +580,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:29.756054Z", - "iopub.status.busy": "2024-04-12T10:24:29.755592Z", - "iopub.status.idle": "2024-04-12T10:24:30.247066Z", - "shell.execute_reply": "2024-04-12T10:24:30.246453Z" + "iopub.execute_input": "2024-04-22T21:52:58.316967Z", + "iopub.status.busy": "2024-04-22T21:52:58.316777Z", + "iopub.status.idle": "2024-04-22T21:52:58.832112Z", + "shell.execute_reply": "2024-04-22T21:52:58.831587Z" } }, "outputs": [ @@ -805,10 +621,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:30.249388Z", - "iopub.status.busy": "2024-04-12T10:24:30.249026Z", - "iopub.status.idle": "2024-04-12T10:24:30.252641Z", - "shell.execute_reply": "2024-04-12T10:24:30.252072Z" + "iopub.execute_input": "2024-04-22T21:52:58.834206Z", + "iopub.status.busy": "2024-04-22T21:52:58.834015Z", + "iopub.status.idle": "2024-04-22T21:52:58.837580Z", + "shell.execute_reply": "2024-04-22T21:52:58.837127Z" } }, "outputs": [], @@ -831,17 +647,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:30.254722Z", - "iopub.status.busy": "2024-04-12T10:24:30.254333Z", - "iopub.status.idle": "2024-04-12T10:24:42.549610Z", - "shell.execute_reply": "2024-04-12T10:24:42.549011Z" + "iopub.execute_input": "2024-04-22T21:52:58.839465Z", + "iopub.status.busy": "2024-04-22T21:52:58.839290Z", + "iopub.status.idle": "2024-04-22T21:53:11.931301Z", + "shell.execute_reply": "2024-04-22T21:53:11.930680Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "280fb116e0644adab3d685ef09fb3885", + "model_id": "22f9d55bc16e4694a529213d79af963f", "version_major": 2, "version_minor": 0 }, @@ -900,10 +716,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:42.552070Z", - "iopub.status.busy": "2024-04-12T10:24:42.551671Z", - "iopub.status.idle": "2024-04-12T10:24:44.256041Z", - "shell.execute_reply": "2024-04-12T10:24:44.255455Z" + "iopub.execute_input": "2024-04-22T21:53:11.933626Z", + "iopub.status.busy": "2024-04-22T21:53:11.933432Z", + "iopub.status.idle": "2024-04-22T21:53:13.680226Z", + "shell.execute_reply": "2024-04-22T21:53:13.679633Z" } }, "outputs": [ @@ -947,10 +763,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:24:44.258846Z", - "iopub.status.busy": "2024-04-12T10:24:44.258374Z", - "iopub.status.idle": "2024-04-12T10:24:44.487066Z", - "shell.execute_reply": "2024-04-12T10:24:44.486463Z" + "iopub.execute_input": "2024-04-22T21:53:13.682977Z", + "iopub.status.busy": "2024-04-22T21:53:13.682599Z", + "iopub.status.idle": "2024-04-22T21:53:13.936210Z", + "shell.execute_reply": "2024-04-22T21:53:13.935628Z" } }, "outputs": [ @@ -986,10 +802,10 @@ "id": "78b1951c", "metadata": { "execution": { - 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"_model_module_version": "2.0.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "d6bf6323cba344dd852ee94faac54bbb": { + "ed1a3a47e4b54e37abe194f39999812e": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1678,24 +1512,6 @@ "visibility": null, "width": null } - }, - "e764cb1b21de485aa6f278ddfa80f38d": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null - } } }, "version_major": 2, diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb index e7b0a1ad7..bbbc032b1 100644 --- a/master/tutorials/regression.ipynb +++ b/master/tutorials/regression.ipynb @@ -102,10 +102,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:02.333587Z", - "iopub.status.busy": "2024-04-12T10:25:02.333248Z", - "iopub.status.idle": "2024-04-12T10:25:03.453616Z", - "shell.execute_reply": "2024-04-12T10:25:03.453061Z" + "iopub.execute_input": "2024-04-22T21:53:31.774797Z", + "iopub.status.busy": "2024-04-22T21:53:31.774402Z", + "iopub.status.idle": "2024-04-22T21:53:32.923980Z", + "shell.execute_reply": "2024-04-22T21:53:32.923359Z" }, "nbsphinx": "hidden" }, @@ -116,7 +116,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -142,10 +142,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.455996Z", - "iopub.status.busy": "2024-04-12T10:25:03.455733Z", - "iopub.status.idle": "2024-04-12T10:25:03.473205Z", - "shell.execute_reply": "2024-04-12T10:25:03.472785Z" + "iopub.execute_input": "2024-04-22T21:53:32.926573Z", + "iopub.status.busy": "2024-04-22T21:53:32.926157Z", + "iopub.status.idle": "2024-04-22T21:53:32.943814Z", + "shell.execute_reply": "2024-04-22T21:53:32.943262Z" } }, "outputs": [], @@ -164,10 +164,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.475370Z", - "iopub.status.busy": "2024-04-12T10:25:03.474858Z", - "iopub.status.idle": "2024-04-12T10:25:03.477808Z", - "shell.execute_reply": "2024-04-12T10:25:03.477381Z" + "iopub.execute_input": "2024-04-22T21:53:32.946002Z", + "iopub.status.busy": "2024-04-22T21:53:32.945619Z", + "iopub.status.idle": "2024-04-22T21:53:32.948493Z", + "shell.execute_reply": "2024-04-22T21:53:32.948081Z" }, "nbsphinx": "hidden" }, @@ -198,10 +198,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.479592Z", - "iopub.status.busy": "2024-04-12T10:25:03.479420Z", - "iopub.status.idle": "2024-04-12T10:25:03.713443Z", - "shell.execute_reply": "2024-04-12T10:25:03.712870Z" + "iopub.execute_input": "2024-04-22T21:53:32.950474Z", + "iopub.status.busy": "2024-04-22T21:53:32.950158Z", + "iopub.status.idle": "2024-04-22T21:53:33.043024Z", + "shell.execute_reply": "2024-04-22T21:53:33.042556Z" } }, "outputs": [ @@ -374,10 +374,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.715755Z", - "iopub.status.busy": "2024-04-12T10:25:03.715427Z", - "iopub.status.idle": "2024-04-12T10:25:03.893499Z", - "shell.execute_reply": "2024-04-12T10:25:03.892882Z" + "iopub.execute_input": "2024-04-22T21:53:33.045231Z", + "iopub.status.busy": "2024-04-22T21:53:33.044971Z", + "iopub.status.idle": "2024-04-22T21:53:33.224282Z", + "shell.execute_reply": "2024-04-22T21:53:33.223666Z" }, "nbsphinx": "hidden" }, @@ -417,10 +417,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:03.895840Z", - "iopub.status.busy": "2024-04-12T10:25:03.895627Z", - "iopub.status.idle": "2024-04-12T10:25:04.136470Z", - "shell.execute_reply": "2024-04-12T10:25:04.135879Z" + "iopub.execute_input": "2024-04-22T21:53:33.226920Z", + "iopub.status.busy": "2024-04-22T21:53:33.226584Z", + "iopub.status.idle": "2024-04-22T21:53:33.466115Z", + "shell.execute_reply": "2024-04-22T21:53:33.465573Z" } }, "outputs": [ @@ -456,10 +456,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.138477Z", - "iopub.status.busy": "2024-04-12T10:25:04.138293Z", - "iopub.status.idle": "2024-04-12T10:25:04.142665Z", - "shell.execute_reply": "2024-04-12T10:25:04.142223Z" + "iopub.execute_input": "2024-04-22T21:53:33.468371Z", + "iopub.status.busy": "2024-04-22T21:53:33.467961Z", + "iopub.status.idle": "2024-04-22T21:53:33.472221Z", + "shell.execute_reply": "2024-04-22T21:53:33.471764Z" } }, "outputs": [], @@ -477,10 +477,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.144529Z", - "iopub.status.busy": "2024-04-12T10:25:04.144353Z", - "iopub.status.idle": "2024-04-12T10:25:04.150383Z", - "shell.execute_reply": "2024-04-12T10:25:04.149964Z" + "iopub.execute_input": "2024-04-22T21:53:33.474231Z", + "iopub.status.busy": "2024-04-22T21:53:33.473822Z", + "iopub.status.idle": "2024-04-22T21:53:33.479953Z", + "shell.execute_reply": "2024-04-22T21:53:33.479521Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.152543Z", - "iopub.status.busy": "2024-04-12T10:25:04.152119Z", - "iopub.status.idle": "2024-04-12T10:25:04.154852Z", - "shell.execute_reply": "2024-04-12T10:25:04.154430Z" + "iopub.execute_input": "2024-04-22T21:53:33.481941Z", + "iopub.status.busy": "2024-04-22T21:53:33.481614Z", + "iopub.status.idle": "2024-04-22T21:53:33.484096Z", + "shell.execute_reply": "2024-04-22T21:53:33.483667Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:04.156757Z", - "iopub.status.busy": "2024-04-12T10:25:04.156587Z", - "iopub.status.idle": "2024-04-12T10:25:12.280210Z", - "shell.execute_reply": "2024-04-12T10:25:12.279579Z" + "iopub.execute_input": "2024-04-22T21:53:33.485977Z", + "iopub.status.busy": "2024-04-22T21:53:33.485661Z", + "iopub.status.idle": "2024-04-22T21:53:41.696382Z", + "shell.execute_reply": "2024-04-22T21:53:41.695825Z" } }, "outputs": [], @@ -572,10 +572,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.283300Z", - "iopub.status.busy": "2024-04-12T10:25:12.282629Z", - "iopub.status.idle": "2024-04-12T10:25:12.289681Z", - "shell.execute_reply": "2024-04-12T10:25:12.289190Z" + "iopub.execute_input": "2024-04-22T21:53:41.699266Z", + "iopub.status.busy": "2024-04-22T21:53:41.698639Z", + "iopub.status.idle": "2024-04-22T21:53:41.705535Z", + "shell.execute_reply": "2024-04-22T21:53:41.705083Z" } }, "outputs": [ @@ -678,10 +678,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.291744Z", - "iopub.status.busy": "2024-04-12T10:25:12.291407Z", - "iopub.status.idle": "2024-04-12T10:25:12.295062Z", - "shell.execute_reply": "2024-04-12T10:25:12.294584Z" + "iopub.execute_input": "2024-04-22T21:53:41.707433Z", + "iopub.status.busy": "2024-04-22T21:53:41.707138Z", + "iopub.status.idle": "2024-04-22T21:53:41.710782Z", + "shell.execute_reply": "2024-04-22T21:53:41.710230Z" } }, "outputs": [], @@ -696,10 +696,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.297028Z", - "iopub.status.busy": "2024-04-12T10:25:12.296703Z", - "iopub.status.idle": "2024-04-12T10:25:12.299796Z", - "shell.execute_reply": "2024-04-12T10:25:12.299287Z" + "iopub.execute_input": "2024-04-22T21:53:41.712977Z", + "iopub.status.busy": "2024-04-22T21:53:41.712680Z", + "iopub.status.idle": "2024-04-22T21:53:41.716049Z", + "shell.execute_reply": "2024-04-22T21:53:41.715604Z" } }, "outputs": [ @@ -734,10 +734,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.301759Z", - "iopub.status.busy": "2024-04-12T10:25:12.301436Z", - "iopub.status.idle": "2024-04-12T10:25:12.304464Z", - "shell.execute_reply": "2024-04-12T10:25:12.304005Z" + "iopub.execute_input": "2024-04-22T21:53:41.717915Z", + "iopub.status.busy": "2024-04-22T21:53:41.717747Z", + "iopub.status.idle": "2024-04-22T21:53:41.720581Z", + "shell.execute_reply": "2024-04-22T21:53:41.720164Z" } }, "outputs": [], @@ -756,10 +756,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.306418Z", - "iopub.status.busy": "2024-04-12T10:25:12.306034Z", - "iopub.status.idle": "2024-04-12T10:25:12.313812Z", - "shell.execute_reply": "2024-04-12T10:25:12.313347Z" + "iopub.execute_input": "2024-04-22T21:53:41.722322Z", + "iopub.status.busy": "2024-04-22T21:53:41.722159Z", + "iopub.status.idle": "2024-04-22T21:53:41.729904Z", + "shell.execute_reply": "2024-04-22T21:53:41.729486Z" } }, "outputs": [ @@ -883,10 +883,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.315696Z", - "iopub.status.busy": "2024-04-12T10:25:12.315519Z", - "iopub.status.idle": "2024-04-12T10:25:12.318030Z", - "shell.execute_reply": "2024-04-12T10:25:12.317617Z" + "iopub.execute_input": "2024-04-22T21:53:41.731829Z", + "iopub.status.busy": "2024-04-22T21:53:41.731660Z", + "iopub.status.idle": "2024-04-22T21:53:41.734157Z", + "shell.execute_reply": "2024-04-22T21:53:41.733741Z" }, "nbsphinx": "hidden" }, @@ -921,10 +921,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.319880Z", - "iopub.status.busy": "2024-04-12T10:25:12.319709Z", - "iopub.status.idle": "2024-04-12T10:25:12.446802Z", - "shell.execute_reply": "2024-04-12T10:25:12.446226Z" + "iopub.execute_input": "2024-04-22T21:53:41.736001Z", + "iopub.status.busy": "2024-04-22T21:53:41.735835Z", + "iopub.status.idle": "2024-04-22T21:53:41.854569Z", + "shell.execute_reply": "2024-04-22T21:53:41.854079Z" } }, "outputs": [ @@ -963,10 +963,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.449151Z", - "iopub.status.busy": "2024-04-12T10:25:12.448933Z", - "iopub.status.idle": "2024-04-12T10:25:12.551379Z", - "shell.execute_reply": "2024-04-12T10:25:12.550840Z" + "iopub.execute_input": "2024-04-22T21:53:41.856749Z", + "iopub.status.busy": "2024-04-22T21:53:41.856387Z", + "iopub.status.idle": "2024-04-22T21:53:41.962309Z", + "shell.execute_reply": "2024-04-22T21:53:41.961824Z" } }, "outputs": [ @@ -1022,10 +1022,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:12.553858Z", - "iopub.status.busy": "2024-04-12T10:25:12.553438Z", - "iopub.status.idle": "2024-04-12T10:25:13.030239Z", - "shell.execute_reply": "2024-04-12T10:25:13.029624Z" + "iopub.execute_input": "2024-04-22T21:53:41.964574Z", + "iopub.status.busy": "2024-04-22T21:53:41.964217Z", + "iopub.status.idle": "2024-04-22T21:53:42.441758Z", + "shell.execute_reply": "2024-04-22T21:53:42.441235Z" } }, "outputs": [], @@ -1041,10 +1041,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.032916Z", - "iopub.status.busy": "2024-04-12T10:25:13.032497Z", - "iopub.status.idle": "2024-04-12T10:25:13.138408Z", - "shell.execute_reply": "2024-04-12T10:25:13.137834Z" + "iopub.execute_input": "2024-04-22T21:53:42.444476Z", + "iopub.status.busy": "2024-04-22T21:53:42.444006Z", + "iopub.status.idle": "2024-04-22T21:53:42.534082Z", + "shell.execute_reply": "2024-04-22T21:53:42.533512Z" } }, "outputs": [ @@ -1079,10 +1079,10 @@ "id": "dbab6fb3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.140819Z", - "iopub.status.busy": "2024-04-12T10:25:13.140471Z", - "iopub.status.idle": "2024-04-12T10:25:13.149090Z", - "shell.execute_reply": "2024-04-12T10:25:13.148537Z" + "iopub.execute_input": "2024-04-22T21:53:42.536488Z", + "iopub.status.busy": "2024-04-22T21:53:42.536036Z", + "iopub.status.idle": "2024-04-22T21:53:42.544415Z", + "shell.execute_reply": "2024-04-22T21:53:42.543983Z" } }, "outputs": [ @@ -1189,10 +1189,10 @@ "id": "5b39b8b5", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.151137Z", - "iopub.status.busy": "2024-04-12T10:25:13.150732Z", - "iopub.status.idle": "2024-04-12T10:25:13.153501Z", - "shell.execute_reply": "2024-04-12T10:25:13.152973Z" + "iopub.execute_input": "2024-04-22T21:53:42.546328Z", + "iopub.status.busy": "2024-04-22T21:53:42.546009Z", + "iopub.status.idle": "2024-04-22T21:53:42.548550Z", + "shell.execute_reply": "2024-04-22T21:53:42.548133Z" }, "nbsphinx": "hidden" }, @@ -1217,10 +1217,10 @@ "id": "df06525b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:13.155613Z", - "iopub.status.busy": "2024-04-12T10:25:13.155292Z", - "iopub.status.idle": "2024-04-12T10:25:18.542395Z", - "shell.execute_reply": "2024-04-12T10:25:18.541811Z" + "iopub.execute_input": "2024-04-22T21:53:42.550584Z", + "iopub.status.busy": "2024-04-22T21:53:42.550276Z", + "iopub.status.idle": "2024-04-22T21:53:47.930432Z", + "shell.execute_reply": "2024-04-22T21:53:47.929860Z" } }, "outputs": [ @@ -1264,10 +1264,10 @@ "id": "05282559", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:18.544811Z", - "iopub.status.busy": "2024-04-12T10:25:18.544472Z", - "iopub.status.idle": "2024-04-12T10:25:18.553283Z", - "shell.execute_reply": "2024-04-12T10:25:18.552725Z" + "iopub.execute_input": "2024-04-22T21:53:47.932787Z", + "iopub.status.busy": "2024-04-22T21:53:47.932372Z", + "iopub.status.idle": "2024-04-22T21:53:47.940933Z", + "shell.execute_reply": "2024-04-22T21:53:47.940504Z" } }, "outputs": [ @@ -1376,10 +1376,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:18.555344Z", - "iopub.status.busy": "2024-04-12T10:25:18.555064Z", - "iopub.status.idle": "2024-04-12T10:25:18.623924Z", - "shell.execute_reply": "2024-04-12T10:25:18.623438Z" + "iopub.execute_input": "2024-04-22T21:53:47.942890Z", + "iopub.status.busy": "2024-04-22T21:53:47.942698Z", + "iopub.status.idle": "2024-04-22T21:53:48.006741Z", + "shell.execute_reply": "2024-04-22T21:53:48.006153Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/segmentation.html b/master/tutorials/segmentation.html index 4c6d84dea..1ca830458 100644 --- a/master/tutorials/segmentation.html +++ b/master/tutorials/segmentation.html @@ -766,13 +766,13 @@

3. Use cleanlab to find label issues

-
+
-
+
@@ -857,7 +857,7 @@

Classes which are commonly mislabeled overall

-
+
@@ -1106,7 +1106,7 @@

Get label quality scores

-
+

Beyond scoring the overall label quality of each image, the above method produces a (0 to 1) quality score for each pixel. We can apply a thresholding function to these scores in order to extract the same style True or False mask as find_label_issues().

@@ -1162,7 +1162,7 @@

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"2024-04-22T21:53:51.006310Z", + "iopub.status.busy": "2024-04-22T21:53:51.006137Z", + "iopub.status.idle": "2024-04-22T21:53:52.140306Z", + "shell.execute_reply": "2024-04-22T21:53:52.139612Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:25:23.746236Z", - "iopub.status.busy": "2024-04-12T10:25:23.745823Z", - "iopub.status.idle": "2024-04-12T10:26:26.178469Z", - "shell.execute_reply": "2024-04-12T10:26:26.177892Z" + "iopub.execute_input": "2024-04-22T21:53:52.142798Z", + "iopub.status.busy": "2024-04-22T21:53:52.142611Z", + "iopub.status.idle": "2024-04-22T21:54:18.175876Z", + "shell.execute_reply": "2024-04-22T21:54:18.175231Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:26.181001Z", - "iopub.status.busy": "2024-04-12T10:26:26.180709Z", - "iopub.status.idle": "2024-04-12T10:26:27.256134Z", - "shell.execute_reply": "2024-04-12T10:26:27.255581Z" + "iopub.execute_input": "2024-04-22T21:54:18.178364Z", + "iopub.status.busy": "2024-04-22T21:54:18.177990Z", + "iopub.status.idle": "2024-04-22T21:54:19.258691Z", + "shell.execute_reply": "2024-04-22T21:54:19.258134Z" }, "nbsphinx": "hidden" }, @@ -111,7 +111,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -137,10 +137,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:26:27.258800Z", - "iopub.status.busy": "2024-04-12T10:26:27.258379Z", - "iopub.status.idle": "2024-04-12T10:26:27.261669Z", - 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"description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_31721cb9fffc4dbf9c7ab1c32f8c1b76", - "placeholder": "​", - "style": "IPY_MODEL_7948ef1c398d42419477bd0cf0baf4f3", - "tabbable": null, - "tooltip": null, - "value": " 30/30 [00:21<00:00,  1.43it/s]" - } - }, - "e813365659b74cbba3b2bd6690626fb4": { + "f5ef443f4b7a4b0fb4fb79fd69a1727a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2310,46 +2372,7 @@ "width": null } }, - "e84f83e40c284b1e84c952d8139068a4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "eaa4f866472b404491414a32d99a41b6": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_e813365659b74cbba3b2bd6690626fb4", - "placeholder": "​", - "style": "IPY_MODEL_c8b5b8f4a94340a98ed0a993a042f8cd", - "tabbable": null, - "tooltip": null, - "value": " 30/30 [00:00<00:00, 637.91it/s]" - } - }, - "eecfaf88c5c44a558868f0a076d29633": { + "f70fc43bf9204fe2afc56e1e3ec2547a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2402,30 +2425,7 @@ "width": null } }, - "f236450961ed452b97efee3295189d6b": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_4a50cc9af4e34bd29f2912703ac5ad6f", - "placeholder": "​", - "style": "IPY_MODEL_533f1a42129f4ae0be6980b6f919880c", - "tabbable": null, - "tooltip": null, - "value": "images processed using softmin: 100%" - } - }, - "f8bb5c74bbbe4f728df7f9a2ca21849b": { + "ff45b2ab489f4e62896a50959a91017b": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/tutorials/token_classification.html b/master/tutorials/token_classification.html index dd367684b..15f2ee2c2 100644 --- a/master/tutorials/token_classification.html +++ b/master/tutorials/token_classification.html @@ -676,16 +676,16 @@

1. Install required dependencies and download data 
---2024-04-12 10:28:05--  https://data.deepai.org/conll2003.zip
-Resolving data.deepai.org (data.deepai.org)... 143.244.49.179, 2400:52e0:1a01::1113:1
-Connecting to data.deepai.org (data.deepai.org)|143.244.49.179|:443... connected.
+--2024-04-22 21:55:57--  https://data.deepai.org/conll2003.zip
+Resolving data.deepai.org (data.deepai.org)... 185.93.1.244, 2400:52e0:1a00::845:1
+Connecting to data.deepai.org (data.deepai.org)|185.93.1.244|:443... connected.
 HTTP request sent, awaiting response... 200 OK
 Length: 982975 (960K) [application/zip]
 Saving to: ‘conll2003.zip’
 
-conll2003.zip       100%[===================>] 959.94K  5.44MB/s    in 0.2s
+conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.1s
 
-2024-04-12 10:28:05 (5.44 MB/s) - ‘conll2003.zip’ saved [982975/982975]
+2024-04-22 21:55:57 (8.65 MB/s) - ‘conll2003.zip’ saved [982975/982975]
 
 mkdir: cannot create directory ‘data’: File exists
 Archive:  conll2003.zip
@@ -693,16 +693,16 @@ 
1. Install required dependencies and download data

diff --git a/master/tutorials/token_classification.ipynb b/master/tutorials/token_classification.ipynb index e38dad2bd..1541dc011 100644 --- a/master/tutorials/token_classification.ipynb +++ b/master/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:05.390887Z", - "iopub.status.busy": "2024-04-12T10:28:05.390476Z", - "iopub.status.idle": "2024-04-12T10:28:07.161439Z", - "shell.execute_reply": "2024-04-12T10:28:07.160860Z" + "iopub.execute_input": "2024-04-22T21:55:57.071212Z", + "iopub.status.busy": "2024-04-22T21:55:57.070842Z", + "iopub.status.idle": "2024-04-22T21:55:58.239716Z", + "shell.execute_reply": "2024-04-22T21:55:58.239143Z" } }, "outputs": [ @@ -86,17 +86,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-12 10:28:05-- https://data.deepai.org/conll2003.zip\r\n", - "Resolving data.deepai.org (data.deepai.org)... 143.244.49.179, 2400:52e0:1a01::1113:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|143.244.49.179|:443... connected.\r\n", - "HTTP request sent, awaiting response... " + "--2024-04-22 21:55:57-- https://data.deepai.org/conll2003.zip\r\n", + "Resolving data.deepai.org (data.deepai.org)... " ] }, { "name": "stdout", "output_type": "stream", "text": [ - "200 OK\r\n", + "185.93.1.244, 2400:52e0:1a00::845:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|185.93.1.244|:443... connected.\r\n", + "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 982975 (960K) [application/zip]\r\n", "Saving to: ‘conll2003.zip’\r\n", "\r\n", @@ -109,9 +109,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K 5.44MB/s in 0.2s \r\n", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", "\r\n", - "2024-04-12 10:28:05 (5.44 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-04-22 21:55:57 (8.65 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -131,22 +131,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-12 10:28:05-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.217.168.129, 3.5.25.18, 52.216.9.75, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.217.168.129|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n" + "--2024-04-22 21:55:57-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.28.151, 52.217.169.97, 16.182.103.49, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.28.151|:443... " ] }, { "name": "stdout", "output_type": "stream", "text": [ + "connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -167,23 +161,7 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 1%[ ] 168.53K 842KB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 8%[> ] 1.45M 3.63MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 52%[=========> ] 8.54M 14.2MB/s " + "pred_probs.npz 39%[======> ] 6.49M 32.4MB/s " ] }, { @@ -191,9 +169,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 100%[===================>] 16.26M 21.9MB/s in 0.7s \r\n", + "pred_probs.npz 100%[===================>] 16.26M 56.4MB/s in 0.3s \r\n", "\r\n", - "2024-04-12 10:28:07 (21.9 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-04-22 21:55:58 (56.4 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -210,10 +188,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:07.163761Z", - "iopub.status.busy": "2024-04-12T10:28:07.163576Z", - "iopub.status.idle": "2024-04-12T10:28:08.370108Z", - "shell.execute_reply": "2024-04-12T10:28:08.369498Z" + "iopub.execute_input": "2024-04-22T21:55:58.242396Z", + "iopub.status.busy": "2024-04-22T21:55:58.242034Z", + "iopub.status.idle": "2024-04-22T21:55:59.455182Z", + "shell.execute_reply": "2024-04-22T21:55:59.454641Z" }, "nbsphinx": "hidden" }, @@ -224,7 +202,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@7b4b0690aec3f23448ea3fade9afe2b3fe8434d2\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@2e9c4a958aa08fb14a2a81002732d6ad1d620b43\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -250,10 +228,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:08.372983Z", - "iopub.status.busy": "2024-04-12T10:28:08.372464Z", - "iopub.status.idle": "2024-04-12T10:28:08.375835Z", - "shell.execute_reply": "2024-04-12T10:28:08.375399Z" + "iopub.execute_input": "2024-04-22T21:55:59.457646Z", + "iopub.status.busy": "2024-04-22T21:55:59.457364Z", + "iopub.status.idle": "2024-04-22T21:55:59.460899Z", + "shell.execute_reply": "2024-04-22T21:55:59.460450Z" } }, "outputs": [], @@ -303,10 +281,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:08.377974Z", - "iopub.status.busy": "2024-04-12T10:28:08.377634Z", - "iopub.status.idle": "2024-04-12T10:28:08.380573Z", - "shell.execute_reply": "2024-04-12T10:28:08.380113Z" + "iopub.execute_input": "2024-04-22T21:55:59.463089Z", + "iopub.status.busy": "2024-04-22T21:55:59.462748Z", + "iopub.status.idle": "2024-04-22T21:55:59.465821Z", + "shell.execute_reply": "2024-04-22T21:55:59.465272Z" }, "nbsphinx": "hidden" }, @@ -324,10 +302,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:08.382549Z", - "iopub.status.busy": "2024-04-12T10:28:08.382232Z", - "iopub.status.idle": "2024-04-12T10:28:17.453178Z", - "shell.execute_reply": "2024-04-12T10:28:17.452640Z" + "iopub.execute_input": "2024-04-22T21:55:59.467925Z", + "iopub.status.busy": "2024-04-22T21:55:59.467525Z", + "iopub.status.idle": "2024-04-22T21:56:08.577604Z", + "shell.execute_reply": "2024-04-22T21:56:08.577121Z" } }, "outputs": [], @@ -401,10 +379,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.455742Z", - "iopub.status.busy": "2024-04-12T10:28:17.455378Z", - "iopub.status.idle": "2024-04-12T10:28:17.460991Z", - "shell.execute_reply": "2024-04-12T10:28:17.460532Z" + "iopub.execute_input": "2024-04-22T21:56:08.580097Z", + "iopub.status.busy": "2024-04-22T21:56:08.579685Z", + "iopub.status.idle": "2024-04-22T21:56:08.585305Z", + "shell.execute_reply": "2024-04-22T21:56:08.584758Z" }, "nbsphinx": "hidden" }, @@ -444,10 +422,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.462929Z", - "iopub.status.busy": "2024-04-12T10:28:17.462607Z", - "iopub.status.idle": "2024-04-12T10:28:17.801642Z", - "shell.execute_reply": "2024-04-12T10:28:17.801097Z" + "iopub.execute_input": "2024-04-22T21:56:08.587395Z", + "iopub.status.busy": "2024-04-22T21:56:08.587082Z", + "iopub.status.idle": "2024-04-22T21:56:08.927057Z", + "shell.execute_reply": "2024-04-22T21:56:08.926485Z" } }, "outputs": [], @@ -484,10 +462,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.804014Z", - "iopub.status.busy": "2024-04-12T10:28:17.803671Z", - "iopub.status.idle": "2024-04-12T10:28:17.808143Z", - "shell.execute_reply": "2024-04-12T10:28:17.807640Z" + "iopub.execute_input": "2024-04-22T21:56:08.929600Z", + "iopub.status.busy": "2024-04-22T21:56:08.929258Z", + "iopub.status.idle": "2024-04-22T21:56:08.933506Z", + "shell.execute_reply": "2024-04-22T21:56:08.933000Z" } }, "outputs": [ @@ -559,10 +537,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:17.810268Z", - "iopub.status.busy": "2024-04-12T10:28:17.809953Z", - "iopub.status.idle": "2024-04-12T10:28:20.119925Z", - "shell.execute_reply": "2024-04-12T10:28:20.119174Z" + "iopub.execute_input": "2024-04-22T21:56:08.935545Z", + "iopub.status.busy": "2024-04-22T21:56:08.935161Z", + "iopub.status.idle": "2024-04-22T21:56:11.227104Z", + "shell.execute_reply": "2024-04-22T21:56:11.226447Z" } }, "outputs": [], @@ -584,10 +562,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.122955Z", - "iopub.status.busy": "2024-04-12T10:28:20.122406Z", - "iopub.status.idle": "2024-04-12T10:28:20.126579Z", - "shell.execute_reply": "2024-04-12T10:28:20.126020Z" + "iopub.execute_input": "2024-04-22T21:56:11.230044Z", + "iopub.status.busy": "2024-04-22T21:56:11.229493Z", + "iopub.status.idle": "2024-04-22T21:56:11.233931Z", + "shell.execute_reply": "2024-04-22T21:56:11.233447Z" } }, "outputs": [ @@ -623,10 +601,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.128669Z", - "iopub.status.busy": "2024-04-12T10:28:20.128194Z", - "iopub.status.idle": "2024-04-12T10:28:20.133866Z", - "shell.execute_reply": "2024-04-12T10:28:20.133344Z" + "iopub.execute_input": "2024-04-22T21:56:11.235763Z", + "iopub.status.busy": "2024-04-22T21:56:11.235596Z", + "iopub.status.idle": "2024-04-22T21:56:11.240954Z", + "shell.execute_reply": "2024-04-22T21:56:11.240435Z" } }, "outputs": [ @@ -804,10 +782,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.135918Z", - "iopub.status.busy": "2024-04-12T10:28:20.135532Z", - "iopub.status.idle": "2024-04-12T10:28:20.161557Z", - "shell.execute_reply": "2024-04-12T10:28:20.160983Z" + "iopub.execute_input": "2024-04-22T21:56:11.242997Z", + "iopub.status.busy": "2024-04-22T21:56:11.242662Z", + "iopub.status.idle": "2024-04-22T21:56:11.269008Z", + "shell.execute_reply": "2024-04-22T21:56:11.268584Z" } }, "outputs": [ @@ -909,10 +887,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.163556Z", - "iopub.status.busy": "2024-04-12T10:28:20.163243Z", - "iopub.status.idle": "2024-04-12T10:28:20.167818Z", - "shell.execute_reply": "2024-04-12T10:28:20.167340Z" + "iopub.execute_input": "2024-04-22T21:56:11.271132Z", + "iopub.status.busy": "2024-04-22T21:56:11.270805Z", + "iopub.status.idle": "2024-04-22T21:56:11.274756Z", + "shell.execute_reply": "2024-04-22T21:56:11.274231Z" } }, "outputs": [ @@ -986,10 +964,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:20.169898Z", - "iopub.status.busy": "2024-04-12T10:28:20.169573Z", - "iopub.status.idle": "2024-04-12T10:28:21.560484Z", - "shell.execute_reply": "2024-04-12T10:28:21.559957Z" + "iopub.execute_input": "2024-04-22T21:56:11.276841Z", + "iopub.status.busy": "2024-04-22T21:56:11.276531Z", + "iopub.status.idle": "2024-04-22T21:56:12.692982Z", + "shell.execute_reply": "2024-04-22T21:56:12.692481Z" } }, "outputs": [ @@ -1161,10 +1139,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-04-12T10:28:21.562475Z", - "iopub.status.busy": "2024-04-12T10:28:21.562299Z", - "iopub.status.idle": "2024-04-12T10:28:21.566506Z", - "shell.execute_reply": "2024-04-12T10:28:21.565956Z" + "iopub.execute_input": "2024-04-22T21:56:12.695262Z", + "iopub.status.busy": "2024-04-22T21:56:12.694870Z", + "iopub.status.idle": "2024-04-22T21:56:12.699061Z", + "shell.execute_reply": "2024-04-22T21:56:12.698593Z" }, "nbsphinx": "hidden" }, diff --git a/versioning.js b/versioning.js index cd1823370..e213569fe 100644 --- a/versioning.js +++ b/versioning.js @@ -1,4 +1,4 @@ var Version = { version_number: "v2.6.3", - commit_hash: "7b4b0690aec3f23448ea3fade9afe2b3fe8434d2", + commit_hash: "2e9c4a958aa08fb14a2a81002732d6ad1d620b43", }; \ No newline at end of file

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