From d416f9d9462789fc5a85a627b1f09bba9f9ee9b3 Mon Sep 17 00:00:00 2001 From: jmy <124435499+jmyissb@users.noreply.github.com> Date: Tue, 30 Jan 2024 19:19:30 -0600 Subject: [PATCH] Add files via upload --- CAFE_demo_release_ipynb.ipynb | 687 ++ Hopfield.py | 110 + compute_health_score.py | 172 + generate_feature.py | 43 + "label and feature\\input_feature.txt" | 60 + "label and feature\\label_data.csv" | 13610 +++++++++++++++++++++++ "label and feature\\output_target.txt" | 42 + training/feature.txt | 237 + training/feature_data.csv | 1001 ++ training/prepare_feature.py | 32 + training/train.txt | 2 + 11 files changed, 15996 insertions(+) create mode 100644 CAFE_demo_release_ipynb.ipynb create mode 100644 Hopfield.py create mode 100644 compute_health_score.py create mode 100644 generate_feature.py create mode 100644 "label and feature\\input_feature.txt" create mode 100644 "label and feature\\label_data.csv" create mode 100644 "label and feature\\output_target.txt" create mode 100644 training/feature.txt create mode 100644 training/feature_data.csv create mode 100644 training/prepare_feature.py create mode 100644 training/train.txt diff --git a/CAFE_demo_release_ipynb.ipynb b/CAFE_demo_release_ipynb.ipynb new file mode 100644 index 0000000..c8f07a3 --- /dev/null +++ b/CAFE_demo_release_ipynb.ipynb @@ -0,0 +1,687 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "**In order to get the fastest predictions you need to enable GPUs for the notebook:**\n", + "* Navigate to Edit→Notebook Settings\n", + "* select GPU from the Hardware Accelerator drop-down\n", + "(https://colab.research.google.com/notebooks/gpu.ipynb#scrollTo=oM_8ELnJq_wd)" + ], + "metadata": { + "id": "YCVgWFmtF1U3" + }, + "id": "YCVgWFmtF1U3" + }, + { + "cell_type": "code", + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ], + "metadata": { + "id": "Da3zn7I3GTjq", + "outputId": "49b97058-1a18-471b-ef8c-7531f6f002ed", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "id": "Da3zn7I3GTjq", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install caafe" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xueyuGRpwGkH", + "outputId": "c4e85782-331a-4413-94dc-291b4c50e1de" + }, + "id": "xueyuGRpwGkH", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: caafe in /usr/local/lib/python3.10/dist-packages (0.1.6)\n", + "Requirement already satisfied: openai in /usr/local/lib/python3.10/dist-packages (from caafe) (0.28.1)\n", + "Requirement already satisfied: kaggle in /usr/local/lib/python3.10/dist-packages (from caafe) (1.5.16)\n", + "Requirement already satisfied: openml==0.12.0 in /usr/local/lib/python3.10/dist-packages (from caafe) (0.12.0)\n", + "Requirement already satisfied: tabpfn in /usr/local/lib/python3.10/dist-packages (from caafe) (0.1.9)\n", + "Requirement already satisfied: 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/usr/local/lib/python3.10/dist-packages (from bleach->kaggle->caafe) (0.5.1)\n", + "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.10/dist-packages (from python-slugify->kaggle->caafe) (1.3)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.9.0->tabpfn->caafe) (2.1.3)\n", + "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.9.0->tabpfn->caafe) (1.3.0)\n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c2770a9-abee-4790-ad55-9c6451320345", + "metadata": { + "id": "3c2770a9-abee-4790-ad55-9c6451320345" + }, + "outputs": [], + "source": [ + "from caafe import CAAFEClassifier # Automated Feature Engineering for tabular datasets\n", + "from tabpfn import TabPFNClassifier # Fast Automated Machine Learning method for small tabular datasets\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "\n", + "import os\n", + "import openai\n", + "import torch\n", + "from caafe import data\n", + "from sklearn.metrics import accuracy_score\n", + "from tabpfn.scripts import tabular_metrics\n", + "from functools import partial" + ] + }, + { + "cell_type": "code", + "source": [ + "openai.api_key = \"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\"" + ], + "metadata": { + "id": "iM5FtVoLncW6" + }, + "id": "iM5FtVoLncW6", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba83bf99-e40a-441c-b0a0-e6767ef9ac2d", + "metadata": { + "id": "ba83bf99-e40a-441c-b0a0-e6767ef9ac2d", + "outputId": "d7a45541-26bf-4686-e2f7-febd67b085ad", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Number of datasets: 10\n", + "Loading balance-scale 11 ..\n", + "Loading breast-w 15 ..\n", + "Loading cmc 23 ..\n", + "Loading credit-g 31 ..\n", + "Loading diabetes 37 ..\n", + "Loading tic-tac-toe 50 ..\n", + "Loading eucalyptus 188 ..\n", + "Loading pc1 1068 ..\n", + "Loading airlines 1169 ..\n", + "Loading jungle_chess_2pcs_raw_endgame_complete 41027 ..\n", + "health-insurance-lead-prediction-raw-data at datasets_kaggle/health-insurance-lead-prediction-raw-data/Health Insurance Lead Prediction Raw Data.csv not found, skipping...\n", + "pharyngitis at datasets_kaggle/pharyngitis/pharyngitis.csv not found, skipping...\n", + "spaceship-titanic at datasets_kaggle/spaceship-titanic/train.csv not found, skipping...\n", + "playground-series-s3e12 at datasets_kaggle/playground-series-s3e12/train.csv not found, skipping...\n", + "Downsampling balance-scale to 20.0% of samples\n", + "Downsampling breast-w to 10.0% of samples\n", + "Downsampling tic-tac-toe to 10.0% of samples\n" + ] + } + ], + "source": [ + "metric_used = tabular_metrics.auc_metric\n", + "cc_test_datasets_multiclass = data.load_all_data()" + ] + }, + { + "cell_type": "code", + "source": [ + "ds = cc_test_datasets_multiclass[5]\n", + "ds, df_train, df_test, _, _ = data.get_data_split(ds, seed=0)\n", + "target_column_name = ds[4][-1]\n", + "dataset_description = ds[-1]\n", + "ds[0]" + ], + "metadata": { + "id": "6TDRQfJ-Snb3", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 53 + }, + "outputId": "9c85af8e-f16b-4eef-85f0-ebc1b7ba14c6" + }, + "id": "6TDRQfJ-Snb3", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Using initial description (tried reading data//dataset_descriptions/openml_tic-tac-toe.txt)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'tic-tac-toe'" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 11 + } + ] + }, + { + "cell_type": "code", + "source": [ + "from caafe.preprocessing import make_datasets_numeric\n", + "df_train, df_test = make_datasets_numeric(df_train, df_test, target_column_name)\n", + "train_x, train_y = data.get_X_y(df_train, target_column_name)\n", + "test_x, test_y = data.get_X_y(df_test, target_column_name)" + ], + "metadata": { + "id": "EysqQd2MhrGw" + }, + "id": "EysqQd2MhrGw", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "### Setup Base Classifier\n", + "\n", + "# clf_no_feat_eng = RandomForestClassifier()\n", + "clf_no_feat_eng = TabPFNClassifier(device=('cuda' if torch.cuda.is_available() else 'cpu'), N_ensemble_configurations=4)\n", + "clf_no_feat_eng.fit = partial(clf_no_feat_eng.fit, overwrite_warning=True)\n", + "\n", + "clf_no_feat_eng.fit(train_x, train_y)\n", + "pred = clf_no_feat_eng.predict(test_x)\n", + "acc = accuracy_score(pred, test_y)\n", + "print(f'Accuracy before CAAFE {acc}')" + ], + "metadata": { + "id": "FOunYfSF4Vi3", + "outputId": "f574c19a-34c7-4304-a3fd-753bd53388f8", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "id": "FOunYfSF4Vi3", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "We have to download the TabPFN, as there is no checkpoint at /usr/local/lib/python3.10/dist-packages/tabpfn/models_diff/prior_diff_real_checkpoint_n_0_epoch_100.cpkt\n", + "It has about 100MB, so this might take a moment.\n", + "Loading model that can be used for inference only\n", + "Using a Transformer with 25.82 M parameters\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":914: ImportWarning: APICoreClientInfoImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _PyDrive2ImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _PyDriveImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _OpenCVImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _BokehImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _AltairImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: APICoreClientInfoImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _PyDrive2ImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _PyDriveImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _OpenCVImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _BokehImportHook.find_spec() not found; falling back to find_module()\n", + ":914: ImportWarning: _AltairImportHook.find_spec() not found; falling back to find_module()\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy before CAAFE 0.5833333333333334\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "### Setup and Run CAAFE - This will be billed to your OpenAI Account!\n", + "\n", + "caafe_clf = CAAFEClassifier(base_classifier=clf_no_feat_eng,\n", + " llm_model=\"gpt-4\",\n", + " iterations=3)\n", + "\n", + "caafe_clf.fit_pandas(df_train,\n", + " target_column_name=target_column_name,\n", + " dataset_description=dataset_description)\n", + "\n", + "pred = caafe_clf.predict(df_test)\n", + "acc = accuracy_score(pred, test_y)\n", + "print(f'Accuracy after CAAFE {acc}')" + ], + "metadata": { + "id": "ZPSehtgSlVWg", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "b4c2a42b-a709-4337-de2f-412316a18b29" + }, + "id": "ZPSehtgSlVWg", + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/markdown": "*Dataset description:*\n \n**Tic-Tac-Toe Endgame database** \nThis database encodes the complete set of possible board configurations at the end of tic-tac-toe games, where \"x\" is assumed to have played first. The target concept is \"win for x\" (i.e., true when \"x\" has one of 8 possible ways to create a \"three-in-a-row\"). \n\n\n\n Attribute Information \n\n (x=player x has taken, o=player o has taken, b=blank)\n 1. top-left-square: {x,o,b}\n 2. top-middle-square: {x,o,b}\n 3. top-right-square: {x,o,b}\n 4. middle-left-square: {x,o,b}\n 5. middle-middle-square: {x,o,b}\n 6. middle-right-square: {x,o,b}\n 7. bottom-left-square: {x,o,b}\n 8. bottom-middle-square: {x,o,b}\n 9. bottom-right-square: {x,o,b}\n 10. Class: {positive,negative}" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/markdown": "\n*Iteration 1*\n```python\n\n# Feature name and description: diagonal_1\n# Usefulness: This feature captures the diagonal from top-left-square to bottom-right-square. In tic-tac-toe, having the same marker in a diagonal often leads to a win.\n# Input samples: 'top-left-square': [2.0, 2.0, 2.0], 'middle-middle-square': [0.0, 2.0, 2.0], 'bottom-right-square': [2.0, 2.0, 0.0]\ndf['diagonal_1'] = df['top-left-square'] + df['middle-middle-square'] + df['bottom-right-square']\n\n```\nPerformance before adding features ROC 0.732, ACC 0.596.\nPerformance after adding features ROC 0.732, ACC 0.573.\nImprovement ROC 0.000, ACC -0.023.\nThe last code changes to ´df´ were discarded. (Improvement: -0.02314814814814814)\n\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n", + "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/markdown": "\n*Iteration 2*\n```python\n\n# Feature name and description: diagonal_2\n# Usefulness: This feature captures the diagonal from top-right-square to bottom-left-square. In tic-tac-toe, having the same marker in a diagonal often leads to a win.\n# Input samples: 'top-right-square': [1.0, 0.0, 1.0], 'middle-middle-square': [0.0, 2.0, 2.0], 'bottom-left-square': [2.0, 1.0, 1.0]\ndf['diagonal_2'] = df['top-right-square'] + df['middle-middle-square'] + df['bottom-left-square']\n\n```\nPerformance before adding features ROC 0.732, ACC 0.596.\nPerformance after adding features ROC 0.732, ACC 0.578.\nImprovement ROC 0.000, ACC -0.019.\nThe last code changes to ´df´ were discarded. (Improvement: -0.01851851851851849)\n\n" + }, + "metadata": {} + }, + { + "output_type": "error", + "ename": "KeyboardInterrupt", + "evalue": "ignored", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m iterations=3)\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m caafe_clf.fit_pandas(df_train,\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mtarget_column_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtarget_column_name\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m dataset_description=dataset_description)\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/caafe/sklearn_wrapper.py\u001b[0m in \u001b[0;36mfit_pandas\u001b[0;34m(self, df, dataset_description, target_column_name, **kwargs)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtarget_column_name\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 75\u001b[0m )\n\u001b[0;32m---> 76\u001b[0;31m return self.fit(\n\u001b[0m\u001b[1;32m 77\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataset_description\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeature_columns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_column_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 78\u001b[0m )\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/caafe/sklearn_wrapper.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, X, y, dataset_description, feature_names, target_name, disable_caafe)\u001b[0m\n\u001b[1;32m 131\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 132\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 133\u001b[0;31m self.code, prompt, messages = generate_features(\n\u001b[0m\u001b[1;32m 134\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 135\u001b[0m \u001b[0mdf_train\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/caafe/caafe.py\u001b[0m in \u001b[0;36mgenerate_features\u001b[0;34m(ds, df, model, just_print_prompt, iterative, metric_used, iterative_method, display_method, n_splits, n_repeats)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0mi\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mn_iter\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 249\u001b[0;31m \u001b[0mcode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_code\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessages\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 250\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 251\u001b[0m \u001b[0mdisplay_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Error in LLM API.\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/caafe/caafe.py\u001b[0m in \u001b[0;36mgenerate_code\u001b[0;34m(messages)\u001b[0m\n\u001b[1;32m 132\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 133\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 134\u001b[0;31m completion = openai.ChatCompletion.create(\n\u001b[0m\u001b[1;32m 135\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 136\u001b[0m \u001b[0mmessages\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmessages\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/openai/api_resources/chat_completion.py\u001b[0m in \u001b[0;36mcreate\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m 23\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 24\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 25\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 26\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mTryAgain\u001b[0m \u001b[0;32mas\u001b[0m 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Tuple[Union[OpenAIResponse, Iterator[OpenAIResponse]], bool, str]:\n\u001b[0;32m--> 289\u001b[0;31m result = self.request_raw(\n\u001b[0m\u001b[1;32m 290\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 291\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/openai/api_requestor.py\u001b[0m in \u001b[0;36mrequest_raw\u001b[0;34m(self, method, url, params, supplied_headers, files, stream, request_id, request_timeout)\u001b[0m\n\u001b[1;32m 604\u001b[0m \u001b[0m_thread_context\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession_create_time\u001b[0m \u001b[0;34m=\u001b[0m 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request\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 703\u001b[0;31m \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 704\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 705\u001b[0m \u001b[0;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 484\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 485\u001b[0m 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df['top-middle-square']) & (df['top-middle-square'] == df['top-right-square']) & (df['top-left-square'] == 1.0)) | \\\n", + " ((df['middle-left-square'] == df['middle-middle-square']) & (df['middle-middle-square'] == df['middle-right-square']) & (df['middle-left-square'] == 1.0)) | \\\n", + " ((df['bottom-left-square'] == df['bottom-middle-square']) & (df['bottom-middle-square'] == df['bottom-right-square']) & (df['bottom-left-square'] == 1.0))\n", + "\n", + "# Feature name: col_win\n", + "# Usefulness: This feature checks if there is a winning column for \"x\" in the tic-tac-toe board.\n", + "# Input samples: 'top-left-square': [2.0, 2.0, 2.0], 'middle-left-square': [1.0, 0.0, 2.0], 'bottom-left-square': [2.0, 1.0, 1.0], ...\n", + "df['col_win'] = ((df['top-left-square'] == df['middle-left-square']) & (df['middle-left-square'] == df['bottom-left-square']) & (df['top-left-square'] == 1.0)) | \\\n", + " ((df['top-middle-square'] == df['middle-middle-square']) & (df['middle-middle-square'] == df['bottom-middle-square']) & (df['top-middle-square'] == 1.0)) | \\\n", + " ((df['top-right-square'] == df['middle-right-square']) & (df['middle-right-square'] == df['bottom-right-square']) & (df['top-right-square'] == 1.0))\n", + "\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Optional download Kaggle data" + ], + "metadata": { + "id": "yIvtLbpr4Kri" + }, + "id": "yIvtLbpr4Kri" + }, + { + "cell_type": "code", + "source": [ + "#!ls ~/.kaggle/kaggle.json\n", + "\n", + "!mkdir ~/.kaggle\n", + "!touch ~/.kaggle/kaggle.json\n", + "\n", + "kaggle_api_token = {\"username\":\"\",\"key\":\"\"}\n", + "\n", + "import json\n", + "with open('/root/.kaggle/kaggle.json', 'w') as file:\n", + " json.dump(kaggle_api_token, file)\n", + "\n", + "!chmod 600 ~/.kaggle/kaggle.json\n", + "!mkdir datasets_kaggle/\n", + "\n", + "from caafe import data\n", + "\n", + "for (name, _, _, user) in data.kaggle_dataset_ids:\n", + " !kaggle datasets download -d {user}/{name}\n", + " !mkdir datasets_kaggle/{name}\n", + " !unzip {name}.zip -d datasets_kaggle/{name}\n", + "\n", + "# Accept rules at https://www.kaggle.com/c/spaceship-titanic/rules\n", + "for name in data.kaggle_competition_ids:\n", + " print(name)\n", + " !kaggle competitions download -c {name}\n", + " !mkdir datasets_kaggle/{name}\n", + " !unzip {name}.zip -d datasets_kaggle/{name}" + ], + "metadata": { + "id": "MZDQHMrgenGW" + }, + "id": "MZDQHMrgenGW", + "execution_count": null, + "outputs": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + }, + "colab": { + "provenance": [], + "gpuType": "T4", + "collapsed_sections": [ + "yIvtLbpr4Kri" + ] + }, + "accelerator": "GPU", + "gpuClass": "standard" + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/Hopfield.py b/Hopfield.py new file mode 100644 index 0000000..f64aaf8 --- /dev/null +++ b/Hopfield.py @@ -0,0 +1,110 @@ +import os +from docx import Document +import re +import torch.nn as nn +from hflayers import Hopfield, HopfieldPooling, HopfieldLayer +import torch.nn.functional as F +import torch +from sentence_transformers import SentenceTransformer +import pickle + +class HopfieldRetrievalModel(nn.Module): + def __init__(self, beta=0.125, update_steps_max=3): + # def __init__(self, beta=0.125): + super(HopfieldRetrievalModel, self).__init__() + self.hopfield = Hopfield( + scaling=beta, + update_steps_max=update_steps_max, + update_steps_eps=1e-5, + + # do not project layer input + state_pattern_as_static=True, + stored_pattern_as_static=True, + pattern_projection_as_static=True, + + # do not pre-process layer input + normalize_stored_pattern=False, + normalize_stored_pattern_affine=False, + normalize_state_pattern=False, + normalize_state_pattern_affine=False, + normalize_pattern_projection=False, + normalize_pattern_projection_affine=False, + + # do not post-process layer output + disable_out_projection=True) + + def forward(self, memory, trg): + memory = torch.unsqueeze(memory, 0) + trg = torch.unsqueeze(trg, 0) + output = self.hopfield((memory, trg, memory)) + output = output.squeeze(0) + memories = memory.squeeze(0) + # temp = torch.bmm(F.softmax(attn_output_weights_init, dim=-1), memory).squeeze(0) + pair_list = F.normalize(output) @ F.normalize(memories).t() # step1 + return pair_list + + + +def read_external_knowledge(path): + path = '/Users/jmy/Desktop/ai_for_health_final/exsit_knowledge/my_dict.pkl' + with open(path, 'rb') as file: + loaded_data = pickle.load(file) + paragraph = [] + for i in loaded_data: + paragraph.append(loaded_data[i]) + return paragraph + + +def read_reports(path): + reports = [] + for filename in os.listdir(path): + if filename.endswith(".txt"): + filepath = os.path.join(path, filename) + + # Read the .docx file + with open(filepath, 'r') as f: + txt = f.read() + reports.extend(txt.split('\n')) + + return reports + + + +def retrieval_info(reports, path, k): + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + paragraphs = read_external_knowledge(path + '/exsit_knowledge') + + # sentence_embedding with paragraphs + model = SentenceTransformer('all-mpnet-base-v2') + # p_embeddings = [] + # for i in paragraphs: + # p_embeddings.append(model.encode(i)) + p_embeddings = model.encode(paragraphs) + # sentence_embedding with reports + report_embeddings = model.encode(reports) + retrievaler = HopfieldRetrievalModel().to(device) + result = retrievaler(torch.tensor(p_embeddings).to(device) * 100, torch.tensor(report_embeddings).to(device) * 100) + input_ids = torch.topk(result, k, dim=1).indices + + # mask = ~(input_ids == input_ids[0]).any(dim=1) + # input_ids = input_ids[mask] + indices = input_ids[0] + # indices = set() + # for input_id in input_ids: + # for id in input_id: + # indices.add(id.item()) + knowledge = [] + for indice in indices: + knowledge.append(paragraphs[indice]) + knowledge = [x for x in knowledge if x != ''] + return knowledge + + + + +if __name__ == '__main__': + reports = read_reports('/Users/jmy/Desktop/ai_for_health_final/dataset_folder/health_report_{2343}') # 13452 + know = retrieval_info(reports,'/Users/jmy/Desktop/ai_for_health_final/',3) + for i in know: + print(i) + diff --git a/compute_health_score.py b/compute_health_score.py new file mode 100644 index 0000000..617ac0d --- /dev/null +++ b/compute_health_score.py @@ -0,0 +1,172 @@ +import openai, os +import pandas as pd +import re +from Hopfield import retrieval_info +from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader +from llama_index import Prompt +from llama_index import StorageContext, load_index_from_storage +from langchain.prompts.chat import ( + ChatPromptTemplate, + HumanMessagePromptTemplate, + SystemMessagePromptTemplate, +) +import csv + + + + +def answer_from_gpt(ques, context, work): + + storage_context = StorageContext.from_defaults(persist_dir='./storage') + index = load_index_from_storage(storage_context, index_id="index_health") + list_score = [] + + t = 0 + for i in ques: + my_context = context + work[t] + QA_PROMPT = get_systemprompt_template(my_context) + query_engine = index.as_query_engine(text_qa_template=QA_PROMPT) + response = query_engine.query(i) + stt = str(response) + score = extract_score(stt) + list_score.append(score) + print(score) + t = t + 1 + + return list_score + + + +def get_systemprompt_template(exist_context): + + chat_text_qa_msgs = [ + SystemMessagePromptTemplate.from_template( + exist_context + ), + HumanMessagePromptTemplate.from_template( + "Give the answer in jason format with only one number between 0 and 1 that is: 'score'\n" + "The score number must be an decimals\n" + "This is the rule of answer: 0-0.2 is mild or none, 0.3-0.6 is moderate, and above 0.7 is severe.\n" + "This is a patient‘s medical record. Context information in below\n" + "---------------------\n" + "{context_str}" + "Given the context information, you are a helpful health consultant " + "answer the question: {query_str}\n" + ) + ] + chat_text_qa_msgs_lc = ChatPromptTemplate.from_messages(chat_text_qa_msgs) + text_qa_template = Prompt.from_langchain_prompt(chat_text_qa_msgs_lc) + + return text_qa_template + + +def extract_score(string): + numbers = re.findall(r'\d+\.\d+|\d+', string) + if numbers: + for i in numbers: + return float(i) + else: + return 0.0 + + +def generate_question(path): + my_feature_list = [] + related_work = [] + with open(path, 'r') as file: + for line in file: + line = line.strip() + my_feature_list.append(line) + question = [] + for i in my_feature_list: + sentence = f"Does the person described in the case have {i} symptoms? Do you think it is serious?" + list_sentence = [sentence] + retrieval = retrieval_info(list_sentence, '/Users/jmy/Desktop/ai_for_health_final/', 1) + question.append(sentence) + related_work.append(retrieval[0]) + print(retrieval[0]) + + return question, related_work, my_feature_list + + +def count_subfolders(folder_path): + subfolder_count = 0 + subfolder_paths = [] + + for root, dirs, files in os.walk(folder_path): + if root != folder_path: + subfolder_count += 1 + + basepath = '/Users/jmy/Desktop/ai_for_health_final/dataset_folder/health_report_' + for i in range(subfolder_count): + path_rr = basepath+str({i}) + subfolder_paths.append(path_rr) + + return subfolder_count, subfolder_paths + + +# def answer_from_gpt(ques,context): +# # rebuild storage context +# storage_context = StorageContext.from_defaults(persist_dir='./storage') +# # load index +# index = load_index_from_storage(storage_context, index_id="index_health") +# +# list_score = [] +# for i in ques: +# QA_PROMPT = get_systemprompt_template(context) +# query_engine = index.as_query_engine(text_qa_template=QA_PROMPT) +# response = query_engine.query(i) +# stt = str(response) +# +# score = extract_score(stt) +# list_score.append(score) +# print(score) +# +# return list_score + + +def load_doc(folder_path,question,work): + print(len(work)) + count,dict = count_subfolders(folder_path) + list_k = [] + context = 'Here is some additional professional health knowledge that can help you better analyze the report' + for i in range(400,500): + documents = SimpleDirectoryReader(dict[i]).load_data() + index = GPTVectorStoreIndex.from_documents(documents) + index.set_index_id("index_health") + index.storage_context.persist('./storage') + content = context + list = answer_from_gpt(question, content, work) + list_k.append(list) + return list_k + + + +if __name__ == '__main__': + + + openai.api_key = os.environ.get("OPENAI_API_KEY") + path = '/Users/jmy/Desktop/ai_for_health_final/label and feature/input_feature.txt' + question, related_work, features_list = generate_question(path) + folder_path = '/Users/jmy/Desktop/ai_for_health_final/dataset_folder' + list = load_doc(folder_path, question, related_work) + + with open('training/train.txt', 'w') as file: + for item in list: + file.write(''.join(str(item)) + '\n\n') + + with open('training/combined7.csv', 'w', newline='') as file: + writer = csv.writer(file) + # 首先写入特征行 + writer.writerow(features_list) + # 然后写入矩阵的每一行 + for row in list: + writer.writerow(row) + + print("CSV file has been created successfully.") + + + + + + + diff --git a/generate_feature.py b/generate_feature.py new file mode 100644 index 0000000..851ef85 --- /dev/null +++ b/generate_feature.py @@ -0,0 +1,43 @@ +import openai +import os + + +def generate_feature(path): + my_feature_list = [] + related_work = [] + with open(path, 'r') as file: + for line in file: + line = line.strip() + my_feature_list.append(line) + question = [] + for i in my_feature_list: + openai.api_key = "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" + messages = [] + system_message = "You are a medical health assistant robot" + messages.append({"role": "system", "content": system_message}) + message = f'Please list the symptoms of {i}? You only need to list the names of the symptoms in order. You do not need to describe the symptoms in detail.' + messages.append({"role": "user", "content": message}) + response = openai.ChatCompletion.create( + model="gpt-3.5-turbo", + messages=messages + ) + reply = response["choices"][0]["message"]["content"] + question.append(reply) + print(reply) + + + return question + + + +if __name__ == '__main__': + + OPENAI_API_KEY = "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" + + path = '/Users/jmy/Desktop/ai_for_health_final/label and feature/output_target.txt' + question = generate_feature(path) + with open("/Users/jmy/Desktop/ai_for_health_final/training/feature.txt", "w") as file: + for item in question: + file.write("%s\n" % item) + + diff --git "a/label and feature\\input_feature.txt" "b/label and feature\\input_feature.txt" new file mode 100644 index 0000000..5e1e1c1 --- /dev/null +++ "b/label and feature\\input_feature.txt" @@ -0,0 +1,60 @@ +尿频 +烧心 +呕血 +腹胀 +焦躁 +咽部灼烧感 +寒战 +四肢麻木 +打嗝 +体重下降 +食欲不振 +水肿 +嗜睡 +肠鸣 +精神不振 +黑便 +发热 +脱水 +粘便 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+气促 +胃肠功能紊乱 +螺旋杆菌感染 +稀便 +痔疮 +尿急 +消化不良 +反流 +腹泻 +腹痛 +头痛 +月经紊乱 +便血 +贫血 +肌肉酸痛 +细菌感染 +黄疸 +心悸 diff --git a/training/feature.txt b/training/feature.txt new file mode 100644 index 0000000..d3fed14 --- /dev/null +++ b/training/feature.txt @@ -0,0 +1,237 @@ +1. Abdominal distension +2. Feeling of fullness or tightness in the abdomen +3. Abdominal discomfort or pain +4. Increased gas or flatulence +5. Belching or burping +6. Changes in bowel movements, such as constipation or diarrhea +Fatigue, weakness, pale skin, shortness of breath, dizziness, headache, cold hands and feet, chest pain, irregular heartbeat, difficulty concentrating, brittle nails, restless legs syndrome +1. Fever +2. Fatigue +3. Pain or discomfort +4. Swelling or redness +5. Increased heart rate +6. Nausea or vomiting +7. Diarrhea +8. Cough +9. Sore throat +10. Skin rash or irritation +11. Joint pain +12. Difficulty breathing +13. Headache +14. Muscle aches +15. Chills or sweating +1. Lack of interest in food +2. Feeling full after eating very little +3. Weight loss +4. Fatigue +5. Dizziness +6. Weakness +7. Poor concentration +8. Irritability +9. Changes in taste or smell +10. Nausea +1. Difficulty in passing stool +2. Feeling of incomplete bowel movement +3. Stool sticks to the toilet bowl +4. Stool appears to be sticky or adhesive +5. Straining during bowel movements +6. Abdominal discomfort or bloating +7. Changes in stool consistency or form +1. Abnormal uterine bleeding +2. Amenorrhea +3. Dysmenorrhea +4. Menorrhagia +5. Oligomenorrhea +6. Polymenorrhea +7. Premenstrual syndrome (PMS) +1. Frequent loose or watery stools +2. Abdominal cramps or pain +3. Urgent need to have a bowel movement +4. An inability to control bowel movements (fecal incontinence) +5. Bloating and increased gas +6. Nausea and vomiting +7. Fever (in some cases) +Abdominal pain, muscle tightness, muscle spasms. +Yellowing of the skin and eyes, dark-colored urine, pale-colored stool, fatigue, nausea and vomiting, abdominal pain, loss of appetite, itching. +1. Sudden, involuntary contractions of the diaphragm muscle +2. Brief, repetitive "hic" sound +3. Temporary interruption in breathing +4. Jerking or twitching sensation in the chest or abdomen +1. Itching or irritation in the anal area +2. pain or discomfort during bowel movements +3. swelling around the anus +4. presence of blood in the stool or toilet paper after wiping +5. a lump or bulge near the anus +1. Frequent bowel movements +2. Urgency to have a bowel movement +3. Watery or runny stool +4. Abdominal cramps or pain +5. Nausea +6. Bloating or increased gas +7. Fatigue +8. Fever or chills (in some cases) +9. Dehydration (in severe cases) +1. Increased frequency of urination +2. Urgency to urinate +3. Nocturia (frequent urination at night) +4. Polyuria (increased urine volume) +5. Difficulty controlling urine flow +6. Incomplete emptying of the bladder +7. Bloating or abdominal discomfort +8. Pain or burning sensation during urination. +1. Throbbing pain in the head +2. Pressure or tightness in the head +3. Dull ache or constant pain in the head +4. Sensitivity to light or noise +5. Nausea or vomiting +6. Dizziness or lightheadedness +7. Difficulty concentrating or thinking clearly +Frequent urination, sudden strong urge to urinate, urine leakage, discomfort or pain in the bladder, increased need to urinate at night. +Cough, wheezing, rapid breathing, chest tightness, difficulty breathing. +Shivering, feeling cold, goosebumps, teeth chattering, rapid breathing +1. Burning sensation in the chest +2. Sour or acidic taste in the mouth +3. Regurgitation of stomach acid +4. Acute or chronic cough +5. Difficulty swallowing (dysphagia) +6. Chest pain or discomfort +7. Hoarseness or sore throat +8. Excessive burping or belching +9. Nausea or vomiting +10. Bloating or feeling of fullness in the abdomen. +1. Pain or discomfort in the throat +2. Scratchy or dry throat +3. Difficulty swallowing +4. Soreness or irritation in the throat +5. Hoarseness or changes in voice +6. Swollen or tender lymph nodes in the neck +7. Redness or inflammation in the throat +8. Coughing or throat clearing +9. White patches or pus on the tonsils +10. Mild fever +1. Stuffy nose +2. Runny nose +3. Post-nasal drip +4. Sneezing +5. Sinus pressure +6. Headache +7. Difficulty breathing through the nose +8. Reduced sense of taste or smell +1. Abdominal pain or discomfort +2. Heartburn +3. Bloating or gas +4. Nausea or vomiting +5. Belching +6. Acidic taste in the mouth +7. Feeling full or quickly satisfied after eating +Itching, sneezing, runny nose, watery eyes, congestion, coughing, wheezing, rash, hives, swelling. +Abdominal pain, bloating, constipation, diarrhea, flatulence, nausea, vomiting +1. Dry cough +2. Productive cough +3. Barking cough +4. Wheezing cough +5. Chest pain with cough +6. Coughing up blood +7. Persistent cough +8. Cough with fever +9. Coughing fits +10. Cough with shortness of breath +1. Black, tarry appearance +1. Muscle soreness +2. Muscle stiffness +3. Muscle weakness +4. Muscle fatigue +5. Muscle cramps +6. Muscle tightness +7. Muscle spasms +8. Muscle inflammation +9. Muscle tenderness +10. Muscle swelling +1. Thirst +2. Fatigue +3. Dizziness +4. Dry mouth +5. Dark-colored urine +6. Decreased urine output +7. Dry skin +8. Headache +9. Constipation +10. Muscle cramps +1. Abdominal pain +2. Bloating +3. Nausea +4. Vomiting +5. Constipation +6. Inability to pass gas +7. Loss of appetite +8. Cramping +1. High body temperature +2. Sweating +3. Chills +4. Headache +5. Muscle aches +6. Fatigue +7. Loss of appetite +8. Nausea +9. Vomiting +10. Dizziness +11. Rapid heartbeat +12. Dehydration +13. Irritability +14. Restlessness +1. Insomnia +2. Restlessness or constant movement +3. Sensation of discomfort or unease in the legs +4. Urge to constantly move or stretch the legs +5. Irresistible urge to move legs, often worsens at night or during periods of inactivity +1. Hematemesis +2. Bloody or coffee ground vomit +3. Nausea +4. Abdominal pain or discomfort +5. Weakness or fatigue +6. Dizziness or lightheadedness +7. Rapid breathing or shortness of breath +8. Paleness or clammy skin +9. Rapid or irregular heartbeat +10. Chest pain +Bloating, gas, diarrhea, constipation, abdominal pain, nausea, fatigue, brain fog, food intolerance, skin problems, joint pain, mood swings, weakened immunity. +1. Fatigue +2. Sleepiness +3. Lack of motivation +4. Weakness +5. Difficulty concentrating +6. Decreased physical activity +7. Sluggishness +8. Apathy +9. Reduced alertness +10. Slow movements +Vertigo, lightheadedness, unsteadiness, imbalance +1. Abdominal pain +2. Nausea +3. Vomiting +4. Bloating +5. Indigestion +6. Diarrhea +7. Constipation +8. Heartburn +9. Loss of appetite +10. Feeling of fullness +1. Hematochezia +2. Melena +3. Bright red blood in stool +4. Dark, tarry stools +Rapid heartbeat, irregular heartbeat, fluttering sensation in the chest, pounding in the chest, skipped beats +Abdominal pain, nausea, vomiting, bloating, loss of appetite, weight loss, black stools, fatigue, frequent burping, acid reflux, chest pain +1. Heartburn +2. Acid regurgitation +3. Chest pain +4. Difficulty swallowing +5. Dry cough +6. Hoarseness or voice changes +7. Sore throat +8. Bloating or belching +9. Nausea +10. Dental problems +Swelling, puffiness, weight gain, tightness or heaviness in the affected area, limited mobility +Abdominal pain, bloating, diarrhea, constipation, nausea, vomiting, heartburn, indigestion, loss of appetite, weight loss, rectal bleeding, changes in bowel movements, difficulty swallowing, excessive gas, belching +Enlarged lymph nodes, tenderness, pain, redness, warmth, swollen lymph nodes, fever, fatigue, night sweats, unexplained weight loss. diff --git a/training/feature_data.csv b/training/feature_data.csv new file mode 100644 index 0000000..12e6214 --- /dev/null +++ b/training/feature_data.csv @@ -0,0 +1,1001 @@ +饥饿感,腹胀,贫血,细菌感染,体重下降,食欲不振,粘便,月经紊乱,腹泻,痉挛,咽部灼烧感,胸痛,有痰,呼吸困难,黄疸,打嗝,喷嚏,痔疮,稀便,尿频,头痛,尿急,胃肠不适,气促,寒战,烧心,咽部痛,鼻塞,消化不良,背痛,胃痛,肛周疼痛,乏力,过敏,肠鸣,咳嗽,黑便,呕吐,肌肉酸痛,脱水,肠梗阻,恶心,四肢麻木,发热,焦躁,呕血,菌群失调,嗜睡,头晕,腹痛,便血,心悸,精神不振,螺旋杆菌感染,反流,水肿,胃肠功能紊乱,淋巴结肿大,吞咽困难,口苦 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a/training/prepare_feature.py b/training/prepare_feature.py new file mode 100644 index 0000000..7495de5 --- /dev/null +++ b/training/prepare_feature.py @@ -0,0 +1,32 @@ +import re + + +words = [] + +with open('feature.txt', 'r', encoding='utf-8') as file: + for line in file: + line = line.strip() + if re.match(r'^\d+', line): + text_after_number = re.sub(r'^\d+\s*', '', line) + words.extend(text_after_number.split('、')) + else: + words.extend(line.split('、')) + +print(words) +processed_lst = [] + +for item in words: + if item.startswith('.'): + processed_lst.append(item[1:]) + else: + # print(item) + symptoms_list = [symptom.strip() for symptom in item.split(',')] + for i in symptoms_list: + processed_lst.append(i) + +print(processed_lst) + +text = "Fatigue, weakness, pale skin, shortness of breath, dizziness, headache, cold hands and feet, chest pain, irregular heartbeat, difficulty concentrating, brittle nails, restless legs syndrome" + +symptoms_list = [symptom.strip() for symptom in text.split(',')] +print(symptoms_list) diff --git a/training/train.txt b/training/train.txt new file mode 100644 index 0000000..d02f06c --- /dev/null +++ b/training/train.txt @@ -0,0 +1,2 @@ +[0.3, 0.3, 0.3, 0.0, 0.0, 0.3, 0.0, 0.0, 0.0, 0.3, 0.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.3, 0.0, 0.0, 0.3, 0.0, 0.3, 0.3, 0.3, 0.0, 0.3, 0.0, 0.0, 0.0, 0.2, 0.0, 0.0, 0.3, 0.0, 0.0, 0.3, 0.0, 0.3, 0.0, 0.2, 0.6, 0.0, 0.0, 0.3, 0.0, 0.3, 0.0, 0.6, 0.0, 0.2, 0.0] +