2017-7-6 使用quick评价rank方法来评价模型.ipynb

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     "text": [
      "Using Theano backend.\n",
      "WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be removed in the next release (v0.10).  Please switch to the gpuarray backend. You can get more information about how to switch at this URL:\n",
      " https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29\n",
      "\n",
      "Using gpu device 0: GeForce GTX TITAN X (CNMeM is enabled with initial size: 95.0% of memory, cuDNN 4007)\n",
      "/home/M2015eliu/.pyenv/versions/anaconda2-4.1.1/lib/python2.7/site-packages/gensim/utils.py:1015: UserWarning: Pattern library is not installed, lemmatization won't be available.\n",
      "  warnings.warn(\"Pattern library is not installed, lemmatization won't be available.\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Reading english Data:', 5000)\n",
      "('Reading english Data:', 5000)\n",
      "Merging the English and Japanes news dataframe...\n",
      "Drop the null line...\n",
      "False    4995\n",
      "True        5\n",
      "Name: en_article, dtype: int64\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "keras_title.py:358: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['word2vec_en'] = df_pairs_sample['en_article'].apply(doc2vec_en)\n",
      "keras_title.py:359: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['word2vec_jp'] = df_pairs_sample['jp_article'].apply(doc2vec_jp)\n",
      "keras_title.py:363: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['padding_en'] = df_pairs_sample['word2vec_en'].apply(padding)\n",
      "keras_title.py:364: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['padding_jp'] = df_pairs_sample['word2vec_jp'].apply(padding)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C value = 2 position: [4316, 4327]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "keras_title.py:432: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=sigmoid.0, inputs=[/main_inp...)`\n",
      "  model_lstm2 = Model(input=[input_1, input_2], output=main_output)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "main_input_1 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "main_input_2 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lstm_1 (LSTM)                    (None, 50)            50200       main_input_1[0][0]               \n",
      "____________________________________________________________________________________________________\n",
      "lstm_2 (LSTM)                    (None, 50)            50200       main_input_2[0][0]               \n",
      "____________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)      (None, 100)           0           lstm_1[0][0]                     \n",
      "                                                                   lstm_2[0][0]                     \n",
      "____________________________________________________________________________________________________\n",
      "dense_1 (Dense)                  (None, 100)           10100       concatenate_1[0][0]              \n",
      "____________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)              (None, 100)           0           dense_1[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "dense_2 (Dense)                  (None, 50)            5050        dropout_1[0][0]                  \n",
      "____________________________________________________________________________________________________\n",
      "dropout_2 (Dropout)              (None, 50)            0           dense_2[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "main_output (Dense)              (None, 1)             51          dropout_2[0][0]                  \n",
      "====================================================================================================\n",
      "Total params: 115,601\n",
      "Trainable params: 115,601\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n",
      "Train on 8000 samples, validate on 2000 samples\n",
      "Epoch 1/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.6506 - acc: 0.6021 - val_loss: 0.5113 - val_acc: 0.7525\n",
      "Epoch 2/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.4199 - acc: 0.8147 - val_loss: 0.4153 - val_acc: 0.8155\n",
      "Epoch 3/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.3273 - acc: 0.8698 - val_loss: 0.3859 - val_acc: 0.8390\n",
      "Epoch 4/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.2634 - acc: 0.9024 - val_loss: 0.3968 - val_acc: 0.8375\n",
      "Epoch 5/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.2205 - acc: 0.9240 - val_loss: 0.4277 - val_acc: 0.8385\n",
      "Epoch 6/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.1962 - acc: 0.9326 - val_loss: 0.4126 - val_acc: 0.8570\n",
      "Epoch 7/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.1701 - acc: 0.9419 - val_loss: 0.4126 - val_acc: 0.8580\n",
      "Epoch 8/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.1419 - acc: 0.9549 - val_loss: 0.4716 - val_acc: 0.8570\n",
      "Epoch 9/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.1220 - acc: 0.9610 - val_loss: 0.5553 - val_acc: 0.8455\n",
      "Epoch 10/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.1108 - acc: 0.9654 - val_loss: 0.5447 - val_acc: 0.8520\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "keras_title.py:103: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=[Subtensor..., inputs=[/main_inp...)`\n",
      "  model_1 = Model(input=[input_1, input_2], output=[lstm_out_1, lstm_out_2])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "main_input_1 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "main_input_2 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lstm_3 (LSTM)                    (None, 50)            50200       main_input_1[0][0]               \n",
      "____________________________________________________________________________________________________\n",
      "lstm_4 (LSTM)                    (None, 50)            50200       main_input_2[0][0]               \n",
      "====================================================================================================\n",
      "Total params: 100,400\n",
      "Trainable params: 100,400\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "keras_title.py:138: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=sigmoid.0, inputs=[/lstm1, /...)`\n",
      "  model_2 = Model(input=[input_1, input_2], output=main_output)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "lstm1 (InputLayer)               (None, 50)            0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lsmt2 (InputLayer)               (None, 50)            0                                            \n",
      "____________________________________________________________________________________________________\n",
      "concatenate_2 (Concatenate)      (None, 100)           0           lstm1[0][0]                      \n",
      "                                                                   lsmt2[0][0]                      \n",
      "____________________________________________________________________________________________________\n",
      "dense_3 (Dense)                  (None, 100)           10100       concatenate_2[0][0]              \n",
      "____________________________________________________________________________________________________\n",
      "dropout_3 (Dropout)              (None, 100)           0           dense_3[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "dense_4 (Dense)                  (None, 50)            5050        dropout_3[0][0]                  \n",
      "____________________________________________________________________________________________________\n",
      "dropout_4 (Dropout)              (None, 50)            0           dense_4[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "main_output (Dense)              (None, 1)             51          dropout_4[0][0]                  \n",
      "====================================================================================================\n",
      "Total params: 15,201\n",
      "Trainable params: 15,201\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n",
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      "('Find answer for doc.', 323)\n",
      "('Find answer for doc.', 324)\n",
      "('Find answer for doc.', 325)\n",
      "('Find answer for doc.', 326)\n",
      "('Find answer for doc.', 327)\n",
      "('Find answer for doc.', 328)\n",
      "('Find answer for doc.', 329)\n",
      "('Find answer for doc.', 330)\n",
      "('Find answer for doc.', 331)\n",
      "('Find answer for doc.', 332)\n",
      "('Find answer for doc.', 333)\n",
      "('Find answer for doc.', 334)\n",
      "('Find answer for doc.', 335)\n",
      "('Find answer for doc.', 336)\n",
      "('Find answer for doc.', 337)\n",
      "('Find answer for doc.', 338)\n",
      "('Find answer for doc.', 339)\n",
      "('Find answer for doc.', 340)\n",
      "('Find answer for doc.', 341)\n",
      "('Find answer for doc.', 342)\n",
      "('Find answer for doc.', 343)\n",
      "('Find answer for doc.', 344)\n",
      "('Find answer for doc.', 345)\n",
      "('Find answer for doc.', 346)\n",
      "('Find answer for doc.', 347)\n",
      "('Find answer for doc.', 348)\n",
      "('Find answer for doc.', 349)\n",
      "('Find answer for doc.', 350)\n",
      "('Find answer for doc.', 351)\n",
      "('Find answer for doc.', 352)\n",
      "('Find answer for doc.', 353)\n",
      "('Find answer for doc.', 354)\n",
      "('Find answer for doc.', 355)\n",
      "('Find answer for doc.', 356)\n",
      "('Find answer for doc.', 357)\n",
      "('Find answer for doc.', 358)\n",
      "('Find answer for doc.', 359)\n",
      "('Find answer for doc.', 360)\n",
      "('Find answer for doc.', 361)\n",
      "('Find answer for doc.', 362)\n",
      "('Find answer for doc.', 363)\n",
      "('Find answer for doc.', 364)\n",
      "('Find answer for doc.', 365)\n",
      "('Find answer for doc.', 366)\n",
      "('Find answer for doc.', 367)\n",
      "('Find answer for doc.', 368)\n",
      "('Find answer for doc.', 369)\n",
      "('Find answer for doc.', 370)\n",
      "('Find answer for doc.', 371)\n",
      "('Find answer for doc.', 372)\n",
      "('Find answer for doc.', 373)\n",
      "('Find answer for doc.', 374)\n",
      "('Find answer for doc.', 375)\n",
      "('Find answer for doc.', 376)\n",
      "('Find answer for doc.', 377)\n",
      "('Find answer for doc.', 378)\n",
      "('Find answer for doc.', 379)\n",
      "('Find answer for doc.', 380)\n",
      "('Find answer for doc.', 381)\n",
      "('Find answer for doc.', 382)\n",
      "('Find answer for doc.', 383)\n",
      "('Find answer for doc.', 384)\n",
      "('Find answer for doc.', 385)\n",
      "('Find answer for doc.', 386)\n",
      "('Find answer for doc.', 387)\n",
      "('Find answer for doc.', 388)\n",
      "('Find answer for doc.', 389)\n",
      "('Find answer for doc.', 390)\n",
      "('Find answer for doc.', 391)\n",
      "('Find answer for doc.', 392)\n",
      "('Find answer for doc.', 393)\n",
      "('Find answer for doc.', 394)\n",
      "('Find answer for doc.', 395)\n",
      "('Find answer for doc.', 396)\n",
      "('Find answer for doc.', 397)\n",
      "('Find answer for doc.', 398)\n",
      "('Find answer for doc.', 399)\n",
      "('Find answer for doc.', 400)\n",
      "('Find answer for doc.', 401)\n",
      "('Find answer for doc.', 402)\n",
      "('Find answer for doc.', 403)\n",
      "('Find answer for doc.', 404)\n",
      "('Find answer for doc.', 405)\n",
      "('Find answer for doc.', 406)\n",
      "('Find answer for doc.', 407)\n",
      "('Find answer for doc.', 408)\n",
      "('Find answer for doc.', 409)\n",
      "('Find answer for doc.', 410)\n",
      "('Find answer for doc.', 411)\n",
      "('Find answer for doc.', 412)\n",
      "('Find answer for doc.', 413)\n",
      "('Find answer for doc.', 414)\n",
      "('Find answer for doc.', 415)\n",
      "('Find answer for doc.', 416)\n",
      "('Find answer for doc.', 417)\n",
      "('Find answer for doc.', 418)\n",
      "('Find answer for doc.', 419)\n",
      "('Find answer for doc.', 420)\n",
      "('Find answer for doc.', 421)\n",
      "('Find answer for doc.', 422)\n",
      "('Find answer for doc.', 423)\n",
      "('Find answer for doc.', 424)\n",
      "('Find answer for doc.', 425)\n",
      "('Find answer for doc.', 426)\n",
      "('Find answer for doc.', 427)\n",
      "('Find answer for doc.', 428)\n",
      "('Find answer for doc.', 429)\n",
      "('Find answer for doc.', 430)\n",
      "('Find answer for doc.', 431)\n",
      "('Find answer for doc.', 432)\n",
      "('Find answer for doc.', 433)\n",
      "('Find answer for doc.', 434)\n",
      "('Find answer for doc.', 435)\n",
      "('Find answer for doc.', 436)\n",
      "('Find answer for doc.', 437)\n",
      "('Find answer for doc.', 438)\n",
      "('Find answer for doc.', 439)\n",
      "('Find answer for doc.', 440)\n",
      "('Find answer for doc.', 441)\n",
      "('Find answer for doc.', 442)\n",
      "('Find answer for doc.', 443)\n",
      "('Find answer for doc.', 444)\n",
      "('Find answer for doc.', 445)\n",
      "('Find answer for doc.', 446)\n",
      "('Find answer for doc.', 447)\n",
      "('Find answer for doc.', 448)\n",
      "('Find answer for doc.', 449)\n",
      "('Find answer for doc.', 450)\n",
      "('Find answer for doc.', 451)\n",
      "('Find answer for doc.', 452)\n",
      "('Find answer for doc.', 453)\n",
      "('Find answer for doc.', 454)\n",
      "('Find answer for doc.', 455)\n",
      "('Find answer for doc.', 456)\n",
      "('Find answer for doc.', 457)\n",
      "('Find answer for doc.', 458)\n",
      "('Find answer for doc.', 459)\n",
      "('Find answer for doc.', 460)\n",
      "('Find answer for doc.', 461)\n",
      "('Find answer for doc.', 462)\n",
      "('Find answer for doc.', 463)\n",
      "('Find answer for doc.', 464)\n",
      "('Find answer for doc.', 465)\n",
      "('Find answer for doc.', 466)\n",
      "('Find answer for doc.', 467)\n",
      "('Find answer for doc.', 468)\n",
      "('Find answer for doc.', 469)\n",
      "('Find answer for doc.', 470)\n",
      "('Find answer for doc.', 471)\n",
      "('Find answer for doc.', 472)\n",
      "('Find answer for doc.', 473)\n",
      "('Find answer for doc.', 474)\n",
      "('Find answer for doc.', 475)\n",
      "('Find answer for doc.', 476)\n",
      "('Find answer for doc.', 477)\n",
      "('Find answer for doc.', 478)\n",
      "('Find answer for doc.', 479)\n",
      "('Find answer for doc.', 480)\n",
      "('Find answer for doc.', 481)\n",
      "('Find answer for doc.', 482)\n",
      "('Find answer for doc.', 483)\n",
      "('Find answer for doc.', 484)\n",
      "('Find answer for doc.', 485)\n",
      "('Find answer for doc.', 486)\n",
      "('Find answer for doc.', 487)\n",
      "('Find answer for doc.', 488)\n",
      "('Find answer for doc.', 489)\n",
      "('Find answer for doc.', 490)\n",
      "('Find answer for doc.', 491)\n",
      "('Find answer for doc.', 492)\n",
      "('Find answer for doc.', 493)\n",
      "('Find answer for doc.', 494)\n",
      "('Find answer for doc.', 495)\n",
      "('Find answer for doc.', 496)\n",
      "('Find answer for doc.', 497)\n",
      "('Find answer for doc.', 498)\n",
      "('Find answer for doc.', 499)\n",
      "('Find answer for doc.', 500)\n",
      "('Find answer for doc.', 501)\n",
      "('Find answer for doc.', 502)\n",
      "('Find answer for doc.', 503)\n",
      "('Find answer for doc.', 504)\n",
      "('Find answer for doc.', 505)\n",
      "('Find answer for doc.', 506)\n",
      "('Find answer for doc.', 507)\n",
      "('Find answer for doc.', 508)\n",
      "('Find answer for doc.', 509)\n",
      "('Find answer for doc.', 510)\n",
      "('Find answer for doc.', 511)\n",
      "('Find answer for doc.', 512)\n",
      "('Find answer for doc.', 513)\n",
      "('Find answer for doc.', 514)\n",
      "('Find answer for doc.', 515)\n",
      "('Find answer for doc.', 516)\n",
      "('Find answer for doc.', 517)\n",
      "('Find answer for doc.', 518)\n",
      "('Find answer for doc.', 519)\n",
      "('Find answer for doc.', 520)\n",
      "('Find answer for doc.', 521)\n",
      "('Find answer for doc.', 522)\n",
      "('Find answer for doc.', 523)\n",
      "('Find answer for doc.', 524)\n",
      "('Find answer for doc.', 525)\n",
      "('Find answer for doc.', 526)\n",
      "('Find answer for doc.', 527)\n",
      "('Find answer for doc.', 528)\n",
      "('Find answer for doc.', 529)\n",
      "('Find answer for doc.', 530)\n",
      "('Find answer for doc.', 531)\n",
      "('Find answer for doc.', 532)\n",
      "('Find answer for doc.', 533)\n",
      "('Find answer for doc.', 534)\n",
      "('Find answer for doc.', 535)\n",
      "('Find answer for doc.', 536)\n",
      "('Find answer for doc.', 537)\n",
      "('Find answer for doc.', 538)\n",
      "('Find answer for doc.', 539)\n",
      "('Find answer for doc.', 540)\n",
      "('Find answer for doc.', 541)\n",
      "('Find answer for doc.', 542)\n",
      "('Find answer for doc.', 543)\n",
      "('Find answer for doc.', 544)\n",
      "('Find answer for doc.', 545)\n",
      "('Find answer for doc.', 546)\n",
      "('Find answer for doc.', 547)\n",
      "('Find answer for doc.', 548)\n",
      "('Find answer for doc.', 549)\n",
      "('Find answer for doc.', 550)\n",
      "('Find answer for doc.', 551)\n",
      "('Find answer for doc.', 552)\n",
      "('Find answer for doc.', 553)\n",
      "('Find answer for doc.', 554)\n",
      "('Find answer for doc.', 555)\n",
      "('Find answer for doc.', 556)\n",
      "('Find answer for doc.', 557)\n",
      "('Find answer for doc.', 558)\n",
      "('Find answer for doc.', 559)\n",
      "('Find answer for doc.', 560)\n",
      "('Find answer for doc.', 561)\n",
      "('Find answer for doc.', 562)\n",
      "('Find answer for doc.', 563)\n",
      "('Find answer for doc.', 564)\n",
      "('Find answer for doc.', 565)\n",
      "('Find answer for doc.', 566)\n",
      "('Find answer for doc.', 567)\n",
      "('Find answer for doc.', 568)\n",
      "('Find answer for doc.', 569)\n",
      "('Find answer for doc.', 570)\n",
      "('Find answer for doc.', 571)\n",
      "('Find answer for doc.', 572)\n",
      "('Find answer for doc.', 573)\n",
      "('Find answer for doc.', 574)\n",
      "('Find answer for doc.', 575)\n",
      "('Find answer for doc.', 576)\n",
      "('Find answer for doc.', 577)\n",
      "('Find answer for doc.', 578)\n",
      "('Find answer for doc.', 579)\n",
      "('Find answer for doc.', 580)\n",
      "('Find answer for doc.', 581)\n",
      "('Find answer for doc.', 582)\n",
      "('Find answer for doc.', 583)\n",
      "('Find answer for doc.', 584)\n",
      "('Find answer for doc.', 585)\n",
      "('Find answer for doc.', 586)\n",
      "('Find answer for doc.', 587)\n",
      "('Find answer for doc.', 588)\n",
      "('Find answer for doc.', 589)\n",
      "('Find answer for doc.', 590)\n",
      "('Find answer for doc.', 591)\n",
      "('Find answer for doc.', 592)\n",
      "('Find answer for doc.', 593)\n",
      "('Find answer for doc.', 594)\n",
      "('Find answer for doc.', 595)\n",
      "('Find answer for doc.', 596)\n",
      "('Find answer for doc.', 597)\n",
      "('Find answer for doc.', 598)\n",
      "('Find answer for doc.', 599)\n",
      "('Find answer for doc.', 600)\n",
      "('Find answer for doc.', 601)\n",
      "('Find answer for doc.', 602)\n",
      "('Find answer for doc.', 603)\n",
      "('Find answer for doc.', 604)\n",
      "('Find answer for doc.', 605)\n",
      "('Find answer for doc.', 606)\n",
      "('Find answer for doc.', 607)\n",
      "('Find answer for doc.', 608)\n",
      "('Find answer for doc.', 609)\n",
      "('Find answer for doc.', 610)\n",
      "('Find answer for doc.', 611)\n",
      "('Find answer for doc.', 612)\n",
      "('Find answer for doc.', 613)\n",
      "('Find answer for doc.', 614)\n",
      "('Find answer for doc.', 615)\n",
      "('Find answer for doc.', 616)\n",
      "('Find answer for doc.', 617)\n",
      "('Find answer for doc.', 618)\n",
      "('Find answer for doc.', 619)\n",
      "('Find answer for doc.', 620)\n",
      "('Find answer for doc.', 621)\n",
      "('Find answer for doc.', 622)\n",
      "('Find answer for doc.', 623)\n",
      "('Find answer for doc.', 624)\n",
      "('Find answer for doc.', 625)\n",
      "('Find answer for doc.', 626)\n",
      "('Find answer for doc.', 627)\n",
      "('Find answer for doc.', 628)\n",
      "('Find answer for doc.', 629)\n",
      "('Find answer for doc.', 630)\n",
      "('Find answer for doc.', 631)\n",
      "('Find answer for doc.', 632)\n",
      "('Find answer for doc.', 633)\n",
      "('Find answer for doc.', 634)\n",
      "('Find answer for doc.', 635)\n",
      "('Find answer for doc.', 636)\n",
      "('Find answer for doc.', 637)\n",
      "('Find answer for doc.', 638)\n",
      "('Find answer for doc.', 639)\n",
      "('Find answer for doc.', 640)\n",
      "('Find answer for doc.', 641)\n",
      "('Find answer for doc.', 642)\n",
      "('Find answer for doc.', 643)\n",
      "('Find answer for doc.', 644)\n",
      "('Find answer for doc.', 645)\n",
      "('Find answer for doc.', 646)\n",
      "('Find answer for doc.', 647)\n",
      "('Find answer for doc.', 648)\n",
      "('Find answer for doc.', 649)\n",
      "('Find answer for doc.', 650)\n",
      "('Find answer for doc.', 651)\n",
      "('Find answer for doc.', 652)\n",
      "('Find answer for doc.', 653)\n",
      "('Find answer for doc.', 654)\n",
      "('Find answer for doc.', 655)\n",
      "('Find answer for doc.', 656)\n",
      "('Find answer for doc.', 657)\n",
      "('Find answer for doc.', 658)\n",
      "('Find answer for doc.', 659)\n",
      "('Find answer for doc.', 660)\n",
      "('Find answer for doc.', 661)\n",
      "('Find answer for doc.', 662)\n",
      "('Find answer for doc.', 663)\n",
      "('Find answer for doc.', 664)\n",
      "('Find answer for doc.', 665)\n",
      "('Find answer for doc.', 666)\n",
      "('Find answer for doc.', 667)\n",
      "('Find answer for doc.', 668)\n",
      "('Find answer for doc.', 669)\n",
      "('Find answer for doc.', 670)\n",
      "('Find answer for doc.', 671)\n",
      "('Find answer for doc.', 672)\n",
      "('Find answer for doc.', 673)\n",
      "('Find answer for doc.', 674)\n",
      "('Find answer for doc.', 675)\n",
      "('Find answer for doc.', 676)\n",
      "('Find answer for doc.', 677)\n",
      "('Find answer for doc.', 678)\n",
      "('Find answer for doc.', 679)\n",
      "('Find answer for doc.', 680)\n",
      "('Find answer for doc.', 681)\n",
      "('Find answer for doc.', 682)\n",
      "('Find answer for doc.', 683)\n",
      "('Find answer for doc.', 684)\n",
      "('Find answer for doc.', 685)\n",
      "('Find answer for doc.', 686)\n",
      "('Find answer for doc.', 687)\n",
      "('Find answer for doc.', 688)\n",
      "('Find answer for doc.', 689)\n",
      "('Find answer for doc.', 690)\n",
      "('Find answer for doc.', 691)\n",
      "('Find answer for doc.', 692)\n",
      "('Find answer for doc.', 693)\n",
      "('Find answer for doc.', 694)\n",
      "('Find answer for doc.', 695)\n",
      "('Find answer for doc.', 696)\n",
      "('Find answer for doc.', 697)\n",
      "('Find answer for doc.', 698)\n",
      "('Find answer for doc.', 699)\n",
      "('Find answer for doc.', 700)\n",
      "('Find answer for doc.', 701)\n",
      "('Find answer for doc.', 702)\n",
      "('Find answer for doc.', 703)\n",
      "('Find answer for doc.', 704)\n",
      "('Find answer for doc.', 705)\n",
      "('Find answer for doc.', 706)\n",
      "('Find answer for doc.', 707)\n",
      "('Find answer for doc.', 708)\n",
      "('Find answer for doc.', 709)\n",
      "('Find answer for doc.', 710)\n",
      "('Find answer for doc.', 711)\n",
      "('Find answer for doc.', 712)\n",
      "('Find answer for doc.', 713)\n",
      "('Find answer for doc.', 714)\n",
      "('Find answer for doc.', 715)\n",
      "('Find answer for doc.', 716)\n",
      "('Find answer for doc.', 717)\n",
      "('Find answer for doc.', 718)\n",
      "('Find answer for doc.', 719)\n",
      "('Find answer for doc.', 720)\n",
      "('Find answer for doc.', 721)\n",
      "('Find answer for doc.', 722)\n",
      "('Find answer for doc.', 723)\n",
      "('Find answer for doc.', 724)\n",
      "('Find answer for doc.', 725)\n",
      "('Find answer for doc.', 726)\n",
      "('Find answer for doc.', 727)\n",
      "('Find answer for doc.', 728)\n",
      "('Find answer for doc.', 729)\n",
      "('Find answer for doc.', 730)\n",
      "('Find answer for doc.', 731)\n",
      "('Find answer for doc.', 732)\n",
      "('Find answer for doc.', 733)\n",
      "('Find answer for doc.', 734)\n",
      "('Find answer for doc.', 735)\n",
      "('Find answer for doc.', 736)\n",
      "('Find answer for doc.', 737)\n",
      "('Find answer for doc.', 738)\n",
      "('Find answer for doc.', 739)\n",
      "('Find answer for doc.', 740)\n",
      "('Find answer for doc.', 741)\n",
      "('Find answer for doc.', 742)\n",
      "('Find answer for doc.', 743)\n",
      "('Find answer for doc.', 744)\n",
      "('Find answer for doc.', 745)\n",
      "('Find answer for doc.', 746)\n",
      "('Find answer for doc.', 747)\n",
      "('Find answer for doc.', 748)\n",
      "('Find answer for doc.', 749)\n",
      "('Find answer for doc.', 750)\n",
      "('Find answer for doc.', 751)\n",
      "('Find answer for doc.', 752)\n",
      "('Find answer for doc.', 753)\n",
      "('Find answer for doc.', 754)\n",
      "('Find answer for doc.', 755)\n",
      "('Find answer for doc.', 756)\n",
      "('Find answer for doc.', 757)\n",
      "('Find answer for doc.', 758)\n",
      "('Find answer for doc.', 759)\n",
      "('Find answer for doc.', 760)\n",
      "('Find answer for doc.', 761)\n",
      "('Find answer for doc.', 762)\n",
      "('Find answer for doc.', 763)\n",
      "('Find answer for doc.', 764)\n",
      "('Find answer for doc.', 765)\n",
      "('Find answer for doc.', 766)\n",
      "('Find answer for doc.', 767)\n",
      "('Find answer for doc.', 768)\n",
      "('Find answer for doc.', 769)\n",
      "('Find answer for doc.', 770)\n",
      "('Find answer for doc.', 771)\n",
      "('Find answer for doc.', 772)\n",
      "('Find answer for doc.', 773)\n",
      "('Find answer for doc.', 774)\n",
      "('Find answer for doc.', 775)\n",
      "('Find answer for doc.', 776)\n",
      "('Find answer for doc.', 777)\n",
      "('Find answer for doc.', 778)\n",
      "('Find answer for doc.', 779)\n",
      "('Find answer for doc.', 780)\n",
      "('Find answer for doc.', 781)\n",
      "('Find answer for doc.', 782)\n",
      "('Find answer for doc.', 783)\n",
      "('Find answer for doc.', 784)\n",
      "('Find answer for doc.', 785)\n",
      "('Find answer for doc.', 786)\n",
      "('Find answer for doc.', 787)\n",
      "('Find answer for doc.', 788)\n",
      "('Find answer for doc.', 789)\n",
      "('Find answer for doc.', 790)\n",
      "('Find answer for doc.', 791)\n",
      "('Find answer for doc.', 792)\n",
      "('Find answer for doc.', 793)\n",
      "('Find answer for doc.', 794)\n",
      "('Find answer for doc.', 795)\n",
      "('Find answer for doc.', 796)\n",
      "('Find answer for doc.', 797)\n",
      "('Find answer for doc.', 798)\n",
      "('Find answer for doc.', 799)\n",
      "('Find answer for doc.', 800)\n",
      "('Find answer for doc.', 801)\n",
      "('Find answer for doc.', 802)\n",
      "('Find answer for doc.', 803)\n",
      "('Find answer for doc.', 804)\n",
      "('Find answer for doc.', 805)\n",
      "('Find answer for doc.', 806)\n",
      "('Find answer for doc.', 807)\n",
      "('Find answer for doc.', 808)\n",
      "('Find answer for doc.', 809)\n",
      "('Find answer for doc.', 810)\n",
      "('Find answer for doc.', 811)\n",
      "('Find answer for doc.', 812)\n",
      "('Find answer for doc.', 813)\n",
      "('Find answer for doc.', 814)\n",
      "('Find answer for doc.', 815)\n",
      "('Find answer for doc.', 816)\n",
      "('Find answer for doc.', 817)\n",
      "('Find answer for doc.', 818)\n",
      "('Find answer for doc.', 819)\n",
      "('Find answer for doc.', 820)\n",
      "('Find answer for doc.', 821)\n",
      "('Find answer for doc.', 822)\n",
      "('Find answer for doc.', 823)\n",
      "('Find answer for doc.', 824)\n",
      "('Find answer for doc.', 825)\n",
      "('Find answer for doc.', 826)\n",
      "('Find answer for doc.', 827)\n",
      "('Find answer for doc.', 828)\n",
      "('Find answer for doc.', 829)\n",
      "('Find answer for doc.', 830)\n",
      "('Find answer for doc.', 831)\n",
      "('Find answer for doc.', 832)\n",
      "('Find answer for doc.', 833)\n",
      "('Find answer for doc.', 834)\n",
      "('Find answer for doc.', 835)\n",
      "('Find answer for doc.', 836)\n",
      "('Find answer for doc.', 837)\n",
      "('Find answer for doc.', 838)\n",
      "('Find answer for doc.', 839)\n",
      "('Find answer for doc.', 840)\n",
      "('Find answer for doc.', 841)\n",
      "('Find answer for doc.', 842)\n",
      "('Find answer for doc.', 843)\n",
      "('Find answer for doc.', 844)\n",
      "('Find answer for doc.', 845)\n",
      "('Find answer for doc.', 846)\n",
      "('Find answer for doc.', 847)\n",
      "('Find answer for doc.', 848)\n",
      "('Find answer for doc.', 849)\n",
      "('Find answer for doc.', 850)\n",
      "('Find answer for doc.', 851)\n",
      "('Find answer for doc.', 852)\n",
      "('Find answer for doc.', 853)\n",
      "('Find answer for doc.', 854)\n",
      "('Find answer for doc.', 855)\n",
      "('Find answer for doc.', 856)\n",
      "('Find answer for doc.', 857)\n",
      "('Find answer for doc.', 858)\n",
      "('Find answer for doc.', 859)\n",
      "('Find answer for doc.', 860)\n",
      "('Find answer for doc.', 861)\n",
      "('Find answer for doc.', 862)\n",
      "('Find answer for doc.', 863)\n",
      "('Find answer for doc.', 864)\n",
      "('Find answer for doc.', 865)\n",
      "('Find answer for doc.', 866)\n",
      "('Find answer for doc.', 867)\n",
      "('Find answer for doc.', 868)\n",
      "('Find answer for doc.', 869)\n",
      "('Find answer for doc.', 870)\n",
      "('Find answer for doc.', 871)\n",
      "('Find answer for doc.', 872)\n",
      "('Find answer for doc.', 873)\n",
      "('Find answer for doc.', 874)\n",
      "('Find answer for doc.', 875)\n",
      "('Find answer for doc.', 876)\n",
      "('Find answer for doc.', 877)\n",
      "('Find answer for doc.', 878)\n",
      "('Find answer for doc.', 879)\n",
      "('Find answer for doc.', 880)\n",
      "('Find answer for doc.', 881)\n",
      "('Find answer for doc.', 882)\n",
      "('Find answer for doc.', 883)\n",
      "('Find answer for doc.', 884)\n",
      "('Find answer for doc.', 885)\n",
      "('Find answer for doc.', 886)\n",
      "('Find answer for doc.', 887)\n",
      "('Find answer for doc.', 888)\n",
      "('Find answer for doc.', 889)\n",
      "('Find answer for doc.', 890)\n",
      "('Find answer for doc.', 891)\n",
      "('Find answer for doc.', 892)\n",
      "('Find answer for doc.', 893)\n",
      "('Find answer for doc.', 894)\n",
      "('Find answer for doc.', 895)\n",
      "('Find answer for doc.', 896)\n",
      "('Find answer for doc.', 897)\n",
      "('Find answer for doc.', 898)\n",
      "('Find answer for doc.', 899)\n",
      "('Find answer for doc.', 900)\n",
      "('Find answer for doc.', 901)\n",
      "('Find answer for doc.', 902)\n",
      "('Find answer for doc.', 903)\n",
      "('Find answer for doc.', 904)\n",
      "('Find answer for doc.', 905)\n",
      "('Find answer for doc.', 906)\n",
      "('Find answer for doc.', 907)\n",
      "('Find answer for doc.', 908)\n",
      "('Find answer for doc.', 909)\n",
      "('Find answer for doc.', 910)\n",
      "('Find answer for doc.', 911)\n",
      "('Find answer for doc.', 912)\n",
      "('Find answer for doc.', 913)\n",
      "('Find answer for doc.', 914)\n",
      "('Find answer for doc.', 915)\n",
      "('Find answer for doc.', 916)\n",
      "('Find answer for doc.', 917)\n",
      "('Find answer for doc.', 918)\n",
      "('Find answer for doc.', 919)\n",
      "('Find answer for doc.', 920)\n",
      "('Find answer for doc.', 921)\n",
      "('Find answer for doc.', 922)\n",
      "('Find answer for doc.', 923)\n",
      "('Find answer for doc.', 924)\n",
      "('Find answer for doc.', 925)\n",
      "('Find answer for doc.', 926)\n",
      "('Find answer for doc.', 927)\n",
      "('Find answer for doc.', 928)\n",
      "('Find answer for doc.', 929)\n",
      "('Find answer for doc.', 930)\n",
      "('Find answer for doc.', 931)\n",
      "('Find answer for doc.', 932)\n",
      "('Find answer for doc.', 933)\n",
      "('Find answer for doc.', 934)\n",
      "('Find answer for doc.', 935)\n",
      "('Find answer for doc.', 936)\n",
      "('Find answer for doc.', 937)\n",
      "('Find answer for doc.', 938)\n",
      "('Find answer for doc.', 939)\n",
      "('Find answer for doc.', 940)\n",
      "('Find answer for doc.', 941)\n",
      "('Find answer for doc.', 942)\n",
      "('Find answer for doc.', 943)\n",
      "('Find answer for doc.', 944)\n",
      "('Find answer for doc.', 945)\n",
      "('Find answer for doc.', 946)\n",
      "('Find answer for doc.', 947)\n",
      "('Find answer for doc.', 948)\n",
      "('Find answer for doc.', 949)\n",
      "('Find answer for doc.', 950)\n",
      "('Find answer for doc.', 951)\n",
      "('Find answer for doc.', 952)\n",
      "('Find answer for doc.', 953)\n",
      "('Find answer for doc.', 954)\n",
      "('Find answer for doc.', 955)\n",
      "('Find answer for doc.', 956)\n",
      "('Find answer for doc.', 957)\n",
      "('Find answer for doc.', 958)\n",
      "('Find answer for doc.', 959)\n",
      "('Find answer for doc.', 960)\n",
      "('Find answer for doc.', 961)\n",
      "('Find answer for doc.', 962)\n",
      "('Find answer for doc.', 963)\n",
      "('Find answer for doc.', 964)\n",
      "('Find answer for doc.', 965)\n",
      "('Find answer for doc.', 966)\n",
      "('Find answer for doc.', 967)\n",
      "('Find answer for doc.', 968)\n",
      "('Find answer for doc.', 969)\n",
      "('Find answer for doc.', 970)\n",
      "('Find answer for doc.', 971)\n",
      "('Find answer for doc.', 972)\n",
      "('Find answer for doc.', 973)\n",
      "('Find answer for doc.', 974)\n",
      "('Find answer for doc.', 975)\n",
      "('Find answer for doc.', 976)\n",
      "('Find answer for doc.', 977)\n",
      "('Find answer for doc.', 978)\n",
      "('Find answer for doc.', 979)\n",
      "('Find answer for doc.', 980)\n",
      "('Find answer for doc.', 981)\n",
      "('Find answer for doc.', 982)\n",
      "('Find answer for doc.', 983)\n",
      "('Find answer for doc.', 984)\n",
      "('Find answer for doc.', 985)\n",
      "('Find answer for doc.', 986)\n",
      "('Find answer for doc.', 987)\n",
      "('Find answer for doc.', 988)\n",
      "('Find answer for doc.', 989)\n",
      "('Find answer for doc.', 990)\n",
      "('Find answer for doc.', 991)\n",
      "('Find answer for doc.', 992)\n",
      "('Find answer for doc.', 993)\n",
      "('Find answer for doc.', 994)\n",
      "('Find answer for doc.', 995)\n",
      "('Find answer for doc.', 996)\n",
      "('Find answer for doc.', 997)\n",
      "('Find answer for doc.', 998)\n",
      "('Find answer for doc.', 999)\n"
     ]
    }
   ],
   "source": [
    "run keras_title.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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75567hd70pmtJLsbB5bE2P/puhUmwJjX3ZKg/uUfZSBDpZLgNmzT1Y16C+2m8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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f863308fd10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "# matplotlib.rcParams['figure.figsize'] = (6.0, 2.0)\n",
    "# matplotlib.rcParams['figure.figsize'] = (10, 7)\n",
    "matplotlib.rcParams['figure.figsize'] = (15, 7)\n",
    "plt.plot(rank_results_test,'bo')\n",
    "plt.title('TOP Ranking for test documents (1-1000)')\n",
    "plt.xlabel('Document Number')\n",
    "plt.ylabel('The ranking of the real pair')\n",
    "# plt.ylim([1000,0])\n",
    "plt.ylim([532,0.5])\n",
    "plt.grid(True)\n",
    "plt.savefig('top-test.eps', format='eps', dpi=1000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1000.000000\n",
       "mean       62.276500\n",
       "std        89.741584\n",
       "min         1.000000\n",
       "25%        10.000000\n",
       "50%        29.000000\n",
       "75%        66.125000\n",
       "max       630.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(rank_results_test).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Find answer for doc.', 0)\n",
      "('Find answer for doc.', 1)\n",
      "('Find answer for doc.', 2)\n",
      "('Find answer for doc.', 3)\n",
      "('Find answer for doc.', 4)\n",
      "('Find answer for doc.', 5)\n",
      "('Find answer for doc.', 6)\n",
      "('Find answer for doc.', 7)\n",
      "('Find answer for doc.', 8)\n",
      "('Find answer for doc.', 9)\n",
      "('Find answer for doc.', 10)\n",
      "('Find answer for doc.', 11)\n",
      "('Find answer for doc.', 12)\n",
      "('Find answer for doc.', 13)\n",
      "('Find answer for doc.', 14)\n",
      "('Find answer for doc.', 15)\n",
      "('Find answer for doc.', 16)\n",
      "('Find answer for doc.', 17)\n",
      "('Find answer for doc.', 18)\n",
      "('Find answer for doc.', 19)\n",
      "('Find answer for doc.', 20)\n",
      "('Find answer for doc.', 21)\n",
      "('Find answer for doc.', 22)\n",
      "('Find answer for doc.', 23)\n",
      "('Find answer for doc.', 24)\n",
      "('Find answer for doc.', 25)\n",
      "('Find answer for doc.', 26)\n",
      "('Find answer for doc.', 27)\n",
      "('Find answer for doc.', 28)\n",
      "('Find answer for doc.', 29)\n",
      "('Find answer for doc.', 30)\n",
      "('Find answer for doc.', 31)\n",
      "('Find answer for doc.', 32)\n",
      "('Find answer for doc.', 33)\n",
      "('Find answer for doc.', 34)\n",
      "('Find answer for doc.', 35)\n",
      "('Find answer for doc.', 36)\n",
      "('Find answer for doc.', 37)\n",
      "('Find answer for doc.', 38)\n",
      "('Find answer for doc.', 39)\n",
      "('Find answer for doc.', 40)\n",
      "('Find answer for doc.', 41)\n",
      "('Find answer for doc.', 42)\n",
      "('Find answer for doc.', 43)\n",
      "('Find answer for doc.', 44)\n",
      "('Find answer for doc.', 45)\n",
      "('Find answer for doc.', 46)\n",
      "('Find answer for doc.', 47)\n",
      "('Find answer for doc.', 48)\n",
      "('Find answer for doc.', 49)\n",
      "('Find answer for doc.', 50)\n",
      "('Find answer for doc.', 51)\n",
      "('Find answer for doc.', 52)\n",
      "('Find answer for doc.', 53)\n",
      "('Find answer for doc.', 54)\n",
      "('Find answer for doc.', 55)\n",
      "('Find answer for doc.', 56)\n",
      "('Find answer for doc.', 57)\n",
      "('Find answer for doc.', 58)\n",
      "('Find answer for doc.', 59)\n",
      "('Find answer for doc.', 60)\n",
      "('Find answer for doc.', 61)\n",
      "('Find answer for doc.', 62)\n",
      "('Find answer for doc.', 63)\n",
      "('Find answer for doc.', 64)\n",
      "('Find answer for doc.', 65)\n",
      "('Find answer for doc.', 66)\n",
      "('Find answer for doc.', 67)\n",
      "('Find answer for doc.', 68)\n",
      "('Find answer for doc.', 69)\n",
      "('Find answer for doc.', 70)\n",
      "('Find answer for doc.', 71)\n",
      "('Find answer for doc.', 72)\n",
      "('Find answer for doc.', 73)\n",
      "('Find answer for doc.', 74)\n",
      "('Find answer for doc.', 75)\n",
      "('Find answer for doc.', 76)\n",
      "('Find answer for doc.', 77)\n",
      "('Find answer for doc.', 78)\n",
      "('Find answer for doc.', 79)\n",
      "('Find answer for doc.', 80)\n",
      "('Find answer for doc.', 81)\n",
      "('Find answer for doc.', 82)\n",
      "('Find answer for doc.', 83)\n",
      "('Find answer for doc.', 84)\n",
      "('Find answer for doc.', 85)\n",
      "('Find answer for doc.', 86)\n",
      "('Find answer for doc.', 87)\n",
      "('Find answer for doc.', 88)\n",
      "('Find answer for doc.', 89)\n",
      "('Find answer for doc.', 90)\n",
      "('Find answer for doc.', 91)\n",
      "('Find answer for doc.', 92)\n",
      "('Find answer for doc.', 93)\n",
      "('Find answer for doc.', 94)\n",
      "('Find answer for doc.', 95)\n",
      "('Find answer for doc.', 96)\n",
      "('Find answer for doc.', 97)\n",
      "('Find answer for doc.', 98)\n",
      "('Find answer for doc.', 99)\n",
      "('Find answer for doc.', 100)\n",
      "('Find answer for doc.', 101)\n",
      "('Find answer for doc.', 102)\n",
      "('Find answer for doc.', 103)\n",
      "('Find answer for doc.', 104)\n",
      "('Find answer for doc.', 105)\n",
      "('Find answer for doc.', 106)\n",
      "('Find answer for doc.', 107)\n",
      "('Find answer for doc.', 108)\n",
      "('Find answer for doc.', 109)\n",
      "('Find answer for doc.', 110)\n"
     ]
    }
   ],
   "source": [
    "sim_results_test, rank_results_test = find_ranking(X1_test_1, X2_test_1, model_lstm2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "main_input_1 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "main_input_2 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lstm_5 (LSTM)                    (None, 50)            50200       main_input_1[0][0]               \n",
      "____________________________________________________________________________________________________\n",
      "lstm_6 (LSTM)                    (None, 50)            50200       main_input_2[0][0]               \n",
      "====================================================================================================\n",
      "Total params: 100,400\n",
      "Trainable params: 100,400\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n",
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "lstm1 (InputLayer)               (None, 50)            0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lsmt2 (InputLayer)               (None, 50)            0                                            \n",
      "____________________________________________________________________________________________________\n",
      "concatenate_3 (Concatenate)      (None, 100)           0           lstm1[0][0]                      \n",
      "                                                                   lsmt2[0][0]                      \n",
      "____________________________________________________________________________________________________\n",
      "dense_5 (Dense)                  (None, 100)           10100       concatenate_3[0][0]              \n",
      "____________________________________________________________________________________________________\n",
      "dropout_5 (Dropout)              (None, 100)           0           dense_5[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "dense_6 (Dense)                  (None, 50)            5050        dropout_5[0][0]                  \n",
      "____________________________________________________________________________________________________\n",
      "dropout_6 (Dropout)              (None, 50)            0           dense_6[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "main_output (Dense)              (None, 1)             51          dropout_6[0][0]                  \n",
      "====================================================================================================\n",
      "Total params: 15,201\n",
      "Trainable params: 15,201\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n",
      "('Find answer for doc.', 0)\n",
      "('Find answer for doc.', 1)\n",
      "('Find answer for doc.', 2)\n",
      "('Find answer for doc.', 3)\n",
      "('Find answer for doc.', 4)\n",
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      "('Find answer for doc.', 6)\n",
      "('Find answer for doc.', 7)\n",
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      "('Find answer for doc.', 11)\n",
      "('Find answer for doc.', 12)\n",
      "('Find answer for doc.', 13)\n",
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      "('Find answer for doc.', 15)\n",
      "('Find answer for doc.', 16)\n",
      "('Find answer for doc.', 17)\n",
      "('Find answer for doc.', 18)\n",
      "('Find answer for doc.', 19)\n",
      "('Find answer for doc.', 20)\n",
      "('Find answer for doc.', 21)\n",
      "('Find answer for doc.', 22)\n",
      "('Find answer for doc.', 23)\n",
      "('Find answer for doc.', 24)\n",
      "('Find answer for doc.', 25)\n",
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      "('Find answer for doc.', 27)\n",
      "('Find answer for doc.', 28)\n",
      "('Find answer for doc.', 29)\n",
      "('Find answer for doc.', 30)\n",
      "('Find answer for doc.', 31)\n",
      "('Find answer for doc.', 32)\n",
      "('Find answer for doc.', 33)\n",
      "('Find answer for doc.', 34)\n",
      "('Find answer for doc.', 35)\n",
      "('Find answer for doc.', 36)\n",
      "('Find answer for doc.', 37)\n",
      "('Find answer for doc.', 38)\n",
      "('Find answer for doc.', 39)\n",
      "('Find answer for doc.', 40)\n",
      "('Find answer for doc.', 41)\n",
      "('Find answer for doc.', 42)\n",
      "('Find answer for doc.', 43)\n",
      "('Find answer for doc.', 44)\n",
      "('Find answer for doc.', 45)\n",
      "('Find answer for doc.', 46)\n",
      "('Find answer for doc.', 47)\n",
      "('Find answer for doc.', 48)\n",
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      "('Find answer for doc.', 50)\n",
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      "('Find answer for doc.', 52)\n",
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      "('Find answer for doc.', 55)\n",
      "('Find answer for doc.', 56)\n",
      "('Find answer for doc.', 57)\n",
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      "('Find answer for doc.', 59)\n",
      "('Find answer for doc.', 60)\n",
      "('Find answer for doc.', 61)\n",
      "('Find answer for doc.', 62)\n",
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      "('Find answer for doc.', 65)\n",
      "('Find answer for doc.', 66)\n",
      "('Find answer for doc.', 67)\n",
      "('Find answer for doc.', 68)\n",
      "('Find answer for doc.', 69)\n",
      "('Find answer for doc.', 70)\n",
      "('Find answer for doc.', 71)\n",
      "('Find answer for doc.', 72)\n",
      "('Find answer for doc.', 73)\n",
      "('Find answer for doc.', 74)\n",
      "('Find answer for doc.', 75)\n",
      "('Find answer for doc.', 76)\n",
      "('Find answer for doc.', 77)\n",
      "('Find answer for doc.', 78)\n",
      "('Find answer for doc.', 79)\n",
      "('Find answer for doc.', 80)\n",
      "('Find answer for doc.', 81)\n",
      "('Find answer for doc.', 82)\n",
      "('Find answer for doc.', 83)\n",
      "('Find answer for doc.', 84)\n",
      "('Find answer for doc.', 85)\n",
      "('Find answer for doc.', 86)\n",
      "('Find answer for doc.', 87)\n",
      "('Find answer for doc.', 88)\n",
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      "('Find answer for doc.', 91)\n",
      "('Find answer for doc.', 92)\n",
      "('Find answer for doc.', 93)\n",
      "('Find answer for doc.', 94)\n",
      "('Find answer for doc.', 95)\n",
      "('Find answer for doc.', 96)\n",
      "('Find answer for doc.', 97)\n",
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      "('Find answer for doc.', 100)\n",
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      "('Find answer for doc.', 103)\n",
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      "('Find answer for doc.', 105)\n",
      "('Find answer for doc.', 106)\n",
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      "('Find answer for doc.', 108)\n",
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      "('Find answer for doc.', 110)\n",
      "('Find answer for doc.', 111)\n",
      "('Find answer for doc.', 112)\n",
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      "('Find answer for doc.', 114)\n",
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      "('Find answer for doc.', 116)\n",
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      "('Find answer for doc.', 118)\n",
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      "('Find answer for doc.', 120)\n",
      "('Find answer for doc.', 121)\n",
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      "('Find answer for doc.', 123)\n",
      "('Find answer for doc.', 124)\n",
      "('Find answer for doc.', 125)\n",
      "('Find answer for doc.', 126)\n",
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      "('Find answer for doc.', 129)\n",
      "('Find answer for doc.', 130)\n",
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      "('Find answer for doc.', 133)\n",
      "('Find answer for doc.', 134)\n",
      "('Find answer for doc.', 135)\n",
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      "('Find answer for doc.', 140)\n",
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      "('Find answer for doc.', 144)\n",
      "('Find answer for doc.', 145)\n",
      "('Find answer for doc.', 146)\n",
      "('Find answer for doc.', 147)\n",
      "('Find answer for doc.', 148)\n",
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      "('Find answer for doc.', 150)\n",
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      "('Find answer for doc.', 158)\n",
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      "('Find answer for doc.', 161)\n",
      "('Find answer for doc.', 162)\n",
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      "('Find answer for doc.', 165)\n",
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      "('Find answer for doc.', 170)\n",
      "('Find answer for doc.', 171)\n",
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      "('Find answer for doc.', 176)\n",
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      "('Find answer for doc.', 187)\n",
      "('Find answer for doc.', 188)\n",
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      "('Find answer for doc.', 190)\n",
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      "('Find answer for doc.', 194)\n",
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      "('Find answer for doc.', 200)\n",
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      "('Find answer for doc.', 202)\n",
      "('Find answer for doc.', 203)\n",
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      "('Find answer for doc.', 206)\n",
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      "('Find answer for doc.', 212)\n",
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      "('Find answer for doc.', 216)\n",
      "('Find answer for doc.', 217)\n",
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      "('Find answer for doc.', 220)\n",
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      "('Find answer for doc.', 223)\n",
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      "('Find answer for doc.', 225)\n",
      "('Find answer for doc.', 226)\n",
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      "('Find answer for doc.', 228)\n",
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      "('Find answer for doc.', 231)\n",
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      "('Find answer for doc.', 235)\n",
      "('Find answer for doc.', 236)\n",
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      "('Find answer for doc.', 238)\n",
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      "('Find answer for doc.', 240)\n",
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      "('Find answer for doc.', 260)\n",
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      "('Find answer for doc.', 554)\n",
      "('Find answer for doc.', 555)\n",
      "('Find answer for doc.', 556)\n",
      "('Find answer for doc.', 557)\n",
      "('Find answer for doc.', 558)\n",
      "('Find answer for doc.', 559)\n",
      "('Find answer for doc.', 560)\n",
      "('Find answer for doc.', 561)\n",
      "('Find answer for doc.', 562)\n",
      "('Find answer for doc.', 563)\n",
      "('Find answer for doc.', 564)\n",
      "('Find answer for doc.', 565)\n",
      "('Find answer for doc.', 566)\n",
      "('Find answer for doc.', 567)\n",
      "('Find answer for doc.', 568)\n",
      "('Find answer for doc.', 569)\n",
      "('Find answer for doc.', 570)\n",
      "('Find answer for doc.', 571)\n",
      "('Find answer for doc.', 572)\n",
      "('Find answer for doc.', 573)\n",
      "('Find answer for doc.', 574)\n",
      "('Find answer for doc.', 575)\n",
      "('Find answer for doc.', 576)\n",
      "('Find answer for doc.', 577)\n",
      "('Find answer for doc.', 578)\n",
      "('Find answer for doc.', 579)\n",
      "('Find answer for doc.', 580)\n",
      "('Find answer for doc.', 581)\n",
      "('Find answer for doc.', 582)\n",
      "('Find answer for doc.', 583)\n",
      "('Find answer for doc.', 584)\n",
      "('Find answer for doc.', 585)\n",
      "('Find answer for doc.', 586)\n",
      "('Find answer for doc.', 587)\n",
      "('Find answer for doc.', 588)\n",
      "('Find answer for doc.', 589)\n",
      "('Find answer for doc.', 590)\n",
      "('Find answer for doc.', 591)\n",
      "('Find answer for doc.', 592)\n",
      "('Find answer for doc.', 593)\n",
      "('Find answer for doc.', 594)\n",
      "('Find answer for doc.', 595)\n",
      "('Find answer for doc.', 596)\n",
      "('Find answer for doc.', 597)\n",
      "('Find answer for doc.', 598)\n",
      "('Find answer for doc.', 599)\n",
      "('Find answer for doc.', 600)\n",
      "('Find answer for doc.', 601)\n",
      "('Find answer for doc.', 602)\n",
      "('Find answer for doc.', 603)\n",
      "('Find answer for doc.', 604)\n",
      "('Find answer for doc.', 605)\n",
      "('Find answer for doc.', 606)\n",
      "('Find answer for doc.', 607)\n",
      "('Find answer for doc.', 608)\n",
      "('Find answer for doc.', 609)\n",
      "('Find answer for doc.', 610)\n",
      "('Find answer for doc.', 611)\n",
      "('Find answer for doc.', 612)\n",
      "('Find answer for doc.', 613)\n",
      "('Find answer for doc.', 614)\n",
      "('Find answer for doc.', 615)\n",
      "('Find answer for doc.', 616)\n",
      "('Find answer for doc.', 617)\n",
      "('Find answer for doc.', 618)\n",
      "('Find answer for doc.', 619)\n",
      "('Find answer for doc.', 620)\n",
      "('Find answer for doc.', 621)\n",
      "('Find answer for doc.', 622)\n",
      "('Find answer for doc.', 623)\n",
      "('Find answer for doc.', 624)\n",
      "('Find answer for doc.', 625)\n",
      "('Find answer for doc.', 626)\n",
      "('Find answer for doc.', 627)\n",
      "('Find answer for doc.', 628)\n",
      "('Find answer for doc.', 629)\n",
      "('Find answer for doc.', 630)\n",
      "('Find answer for doc.', 631)\n",
      "('Find answer for doc.', 632)\n",
      "('Find answer for doc.', 633)\n",
      "('Find answer for doc.', 634)\n",
      "('Find answer for doc.', 635)\n",
      "('Find answer for doc.', 636)\n",
      "('Find answer for doc.', 637)\n",
      "('Find answer for doc.', 638)\n",
      "('Find answer for doc.', 639)\n",
      "('Find answer for doc.', 640)\n",
      "('Find answer for doc.', 641)\n",
      "('Find answer for doc.', 642)\n",
      "('Find answer for doc.', 643)\n",
      "('Find answer for doc.', 644)\n",
      "('Find answer for doc.', 645)\n",
      "('Find answer for doc.', 646)\n",
      "('Find answer for doc.', 647)\n",
      "('Find answer for doc.', 648)\n",
      "('Find answer for doc.', 649)\n",
      "('Find answer for doc.', 650)\n",
      "('Find answer for doc.', 651)\n",
      "('Find answer for doc.', 652)\n",
      "('Find answer for doc.', 653)\n",
      "('Find answer for doc.', 654)\n",
      "('Find answer for doc.', 655)\n",
      "('Find answer for doc.', 656)\n",
      "('Find answer for doc.', 657)\n",
      "('Find answer for doc.', 658)\n",
      "('Find answer for doc.', 659)\n",
      "('Find answer for doc.', 660)\n",
      "('Find answer for doc.', 661)\n",
      "('Find answer for doc.', 662)\n",
      "('Find answer for doc.', 663)\n",
      "('Find answer for doc.', 664)\n",
      "('Find answer for doc.', 665)\n",
      "('Find answer for doc.', 666)\n",
      "('Find answer for doc.', 667)\n",
      "('Find answer for doc.', 668)\n",
      "('Find answer for doc.', 669)\n",
      "('Find answer for doc.', 670)\n",
      "('Find answer for doc.', 671)\n",
      "('Find answer for doc.', 672)\n",
      "('Find answer for doc.', 673)\n",
      "('Find answer for doc.', 674)\n",
      "('Find answer for doc.', 675)\n",
      "('Find answer for doc.', 676)\n",
      "('Find answer for doc.', 677)\n",
      "('Find answer for doc.', 678)\n",
      "('Find answer for doc.', 679)\n",
      "('Find answer for doc.', 680)\n",
      "('Find answer for doc.', 681)\n",
      "('Find answer for doc.', 682)\n",
      "('Find answer for doc.', 683)\n",
      "('Find answer for doc.', 684)\n",
      "('Find answer for doc.', 685)\n",
      "('Find answer for doc.', 686)\n",
      "('Find answer for doc.', 687)\n",
      "('Find answer for doc.', 688)\n",
      "('Find answer for doc.', 689)\n",
      "('Find answer for doc.', 690)\n",
      "('Find answer for doc.', 691)\n",
      "('Find answer for doc.', 692)\n",
      "('Find answer for doc.', 693)\n",
      "('Find answer for doc.', 694)\n",
      "('Find answer for doc.', 695)\n",
      "('Find answer for doc.', 696)\n",
      "('Find answer for doc.', 697)\n",
      "('Find answer for doc.', 698)\n",
      "('Find answer for doc.', 699)\n",
      "('Find answer for doc.', 700)\n",
      "('Find answer for doc.', 701)\n",
      "('Find answer for doc.', 702)\n",
      "('Find answer for doc.', 703)\n",
      "('Find answer for doc.', 704)\n",
      "('Find answer for doc.', 705)\n",
      "('Find answer for doc.', 706)\n",
      "('Find answer for doc.', 707)\n",
      "('Find answer for doc.', 708)\n",
      "('Find answer for doc.', 709)\n",
      "('Find answer for doc.', 710)\n",
      "('Find answer for doc.', 711)\n",
      "('Find answer for doc.', 712)\n",
      "('Find answer for doc.', 713)\n",
      "('Find answer for doc.', 714)\n",
      "('Find answer for doc.', 715)\n",
      "('Find answer for doc.', 716)\n",
      "('Find answer for doc.', 717)\n",
      "('Find answer for doc.', 718)\n",
      "('Find answer for doc.', 719)\n",
      "('Find answer for doc.', 720)\n",
      "('Find answer for doc.', 721)\n",
      "('Find answer for doc.', 722)\n",
      "('Find answer for doc.', 723)\n",
      "('Find answer for doc.', 724)\n",
      "('Find answer for doc.', 725)\n",
      "('Find answer for doc.', 726)\n",
      "('Find answer for doc.', 727)\n",
      "('Find answer for doc.', 728)\n",
      "('Find answer for doc.', 729)\n",
      "('Find answer for doc.', 730)\n",
      "('Find answer for doc.', 731)\n",
      "('Find answer for doc.', 732)\n",
      "('Find answer for doc.', 733)\n",
      "('Find answer for doc.', 734)\n",
      "('Find answer for doc.', 735)\n",
      "('Find answer for doc.', 736)\n",
      "('Find answer for doc.', 737)\n",
      "('Find answer for doc.', 738)\n",
      "('Find answer for doc.', 739)\n",
      "('Find answer for doc.', 740)\n",
      "('Find answer for doc.', 741)\n",
      "('Find answer for doc.', 742)\n",
      "('Find answer for doc.', 743)\n",
      "('Find answer for doc.', 744)\n",
      "('Find answer for doc.', 745)\n",
      "('Find answer for doc.', 746)\n",
      "('Find answer for doc.', 747)\n",
      "('Find answer for doc.', 748)\n",
      "('Find answer for doc.', 749)\n",
      "('Find answer for doc.', 750)\n",
      "('Find answer for doc.', 751)\n",
      "('Find answer for doc.', 752)\n",
      "('Find answer for doc.', 753)\n",
      "('Find answer for doc.', 754)\n",
      "('Find answer for doc.', 755)\n",
      "('Find answer for doc.', 756)\n",
      "('Find answer for doc.', 757)\n",
      "('Find answer for doc.', 758)\n",
      "('Find answer for doc.', 759)\n",
      "('Find answer for doc.', 760)\n",
      "('Find answer for doc.', 761)\n",
      "('Find answer for doc.', 762)\n",
      "('Find answer for doc.', 763)\n",
      "('Find answer for doc.', 764)\n",
      "('Find answer for doc.', 765)\n",
      "('Find answer for doc.', 766)\n",
      "('Find answer for doc.', 767)\n",
      "('Find answer for doc.', 768)\n",
      "('Find answer for doc.', 769)\n",
      "('Find answer for doc.', 770)\n",
      "('Find answer for doc.', 771)\n",
      "('Find answer for doc.', 772)\n",
      "('Find answer for doc.', 773)\n",
      "('Find answer for doc.', 774)\n",
      "('Find answer for doc.', 775)\n",
      "('Find answer for doc.', 776)\n",
      "('Find answer for doc.', 777)\n",
      "('Find answer for doc.', 778)\n",
      "('Find answer for doc.', 779)\n",
      "('Find answer for doc.', 780)\n",
      "('Find answer for doc.', 781)\n",
      "('Find answer for doc.', 782)\n",
      "('Find answer for doc.', 783)\n",
      "('Find answer for doc.', 784)\n",
      "('Find answer for doc.', 785)\n",
      "('Find answer for doc.', 786)\n",
      "('Find answer for doc.', 787)\n",
      "('Find answer for doc.', 788)\n",
      "('Find answer for doc.', 789)\n",
      "('Find answer for doc.', 790)\n",
      "('Find answer for doc.', 791)\n",
      "('Find answer for doc.', 792)\n",
      "('Find answer for doc.', 793)\n",
      "('Find answer for doc.', 794)\n",
      "('Find answer for doc.', 795)\n",
      "('Find answer for doc.', 796)\n",
      "('Find answer for doc.', 797)\n",
      "('Find answer for doc.', 798)\n",
      "('Find answer for doc.', 799)\n",
      "('Find answer for doc.', 800)\n",
      "('Find answer for doc.', 801)\n",
      "('Find answer for doc.', 802)\n",
      "('Find answer for doc.', 803)\n",
      "('Find answer for doc.', 804)\n",
      "('Find answer for doc.', 805)\n",
      "('Find answer for doc.', 806)\n",
      "('Find answer for doc.', 807)\n",
      "('Find answer for doc.', 808)\n",
      "('Find answer for doc.', 809)\n",
      "('Find answer for doc.', 810)\n",
      "('Find answer for doc.', 811)\n",
      "('Find answer for doc.', 812)\n",
      "('Find answer for doc.', 813)\n",
      "('Find answer for doc.', 814)\n",
      "('Find answer for doc.', 815)\n",
      "('Find answer for doc.', 816)\n",
      "('Find answer for doc.', 817)\n",
      "('Find answer for doc.', 818)\n",
      "('Find answer for doc.', 819)\n",
      "('Find answer for doc.', 820)\n",
      "('Find answer for doc.', 821)\n",
      "('Find answer for doc.', 822)\n",
      "('Find answer for doc.', 823)\n",
      "('Find answer for doc.', 824)\n",
      "('Find answer for doc.', 825)\n",
      "('Find answer for doc.', 826)\n",
      "('Find answer for doc.', 827)\n",
      "('Find answer for doc.', 828)\n",
      "('Find answer for doc.', 829)\n",
      "('Find answer for doc.', 830)\n",
      "('Find answer for doc.', 831)\n",
      "('Find answer for doc.', 832)\n",
      "('Find answer for doc.', 833)\n",
      "('Find answer for doc.', 834)\n",
      "('Find answer for doc.', 835)\n",
      "('Find answer for doc.', 836)\n",
      "('Find answer for doc.', 837)\n",
      "('Find answer for doc.', 838)\n",
      "('Find answer for doc.', 839)\n",
      "('Find answer for doc.', 840)\n",
      "('Find answer for doc.', 841)\n",
      "('Find answer for doc.', 842)\n",
      "('Find answer for doc.', 843)\n",
      "('Find answer for doc.', 844)\n",
      "('Find answer for doc.', 845)\n",
      "('Find answer for doc.', 846)\n",
      "('Find answer for doc.', 847)\n",
      "('Find answer for doc.', 848)\n",
      "('Find answer for doc.', 849)\n",
      "('Find answer for doc.', 850)\n",
      "('Find answer for doc.', 851)\n",
      "('Find answer for doc.', 852)\n",
      "('Find answer for doc.', 853)\n",
      "('Find answer for doc.', 854)\n",
      "('Find answer for doc.', 855)\n",
      "('Find answer for doc.', 856)\n",
      "('Find answer for doc.', 857)\n",
      "('Find answer for doc.', 858)\n",
      "('Find answer for doc.', 859)\n",
      "('Find answer for doc.', 860)\n",
      "('Find answer for doc.', 861)\n",
      "('Find answer for doc.', 862)\n",
      "('Find answer for doc.', 863)\n",
      "('Find answer for doc.', 864)\n",
      "('Find answer for doc.', 865)\n",
      "('Find answer for doc.', 866)\n",
      "('Find answer for doc.', 867)\n",
      "('Find answer for doc.', 868)\n",
      "('Find answer for doc.', 869)\n",
      "('Find answer for doc.', 870)\n",
      "('Find answer for doc.', 871)\n",
      "('Find answer for doc.', 872)\n",
      "('Find answer for doc.', 873)\n",
      "('Find answer for doc.', 874)\n",
      "('Find answer for doc.', 875)\n",
      "('Find answer for doc.', 876)\n",
      "('Find answer for doc.', 877)\n",
      "('Find answer for doc.', 878)\n",
      "('Find answer for doc.', 879)\n",
      "('Find answer for doc.', 880)\n",
      "('Find answer for doc.', 881)\n",
      "('Find answer for doc.', 882)\n",
      "('Find answer for doc.', 883)\n",
      "('Find answer for doc.', 884)\n",
      "('Find answer for doc.', 885)\n",
      "('Find answer for doc.', 886)\n",
      "('Find answer for doc.', 887)\n",
      "('Find answer for doc.', 888)\n",
      "('Find answer for doc.', 889)\n",
      "('Find answer for doc.', 890)\n",
      "('Find answer for doc.', 891)\n",
      "('Find answer for doc.', 892)\n",
      "('Find answer for doc.', 893)\n",
      "('Find answer for doc.', 894)\n",
      "('Find answer for doc.', 895)\n",
      "('Find answer for doc.', 896)\n",
      "('Find answer for doc.', 897)\n",
      "('Find answer for doc.', 898)\n",
      "('Find answer for doc.', 899)\n",
      "('Find answer for doc.', 900)\n",
      "('Find answer for doc.', 901)\n",
      "('Find answer for doc.', 902)\n",
      "('Find answer for doc.', 903)\n",
      "('Find answer for doc.', 904)\n",
      "('Find answer for doc.', 905)\n",
      "('Find answer for doc.', 906)\n",
      "('Find answer for doc.', 907)\n",
      "('Find answer for doc.', 908)\n",
      "('Find answer for doc.', 909)\n",
      "('Find answer for doc.', 910)\n",
      "('Find answer for doc.', 911)\n",
      "('Find answer for doc.', 912)\n",
      "('Find answer for doc.', 913)\n",
      "('Find answer for doc.', 914)\n",
      "('Find answer for doc.', 915)\n",
      "('Find answer for doc.', 916)\n",
      "('Find answer for doc.', 917)\n",
      "('Find answer for doc.', 918)\n",
      "('Find answer for doc.', 919)\n",
      "('Find answer for doc.', 920)\n",
      "('Find answer for doc.', 921)\n",
      "('Find answer for doc.', 922)\n",
      "('Find answer for doc.', 923)\n",
      "('Find answer for doc.', 924)\n",
      "('Find answer for doc.', 925)\n",
      "('Find answer for doc.', 926)\n",
      "('Find answer for doc.', 927)\n",
      "('Find answer for doc.', 928)\n",
      "('Find answer for doc.', 929)\n",
      "('Find answer for doc.', 930)\n",
      "('Find answer for doc.', 931)\n",
      "('Find answer for doc.', 932)\n",
      "('Find answer for doc.', 933)\n",
      "('Find answer for doc.', 934)\n",
      "('Find answer for doc.', 935)\n",
      "('Find answer for doc.', 936)\n",
      "('Find answer for doc.', 937)\n",
      "('Find answer for doc.', 938)\n",
      "('Find answer for doc.', 939)\n",
      "('Find answer for doc.', 940)\n",
      "('Find answer for doc.', 941)\n",
      "('Find answer for doc.', 942)\n",
      "('Find answer for doc.', 943)\n",
      "('Find answer for doc.', 944)\n",
      "('Find answer for doc.', 945)\n",
      "('Find answer for doc.', 946)\n",
      "('Find answer for doc.', 947)\n",
      "('Find answer for doc.', 948)\n",
      "('Find answer for doc.', 949)\n",
      "('Find answer for doc.', 950)\n",
      "('Find answer for doc.', 951)\n",
      "('Find answer for doc.', 952)\n",
      "('Find answer for doc.', 953)\n",
      "('Find answer for doc.', 954)\n",
      "('Find answer for doc.', 955)\n",
      "('Find answer for doc.', 956)\n",
      "('Find answer for doc.', 957)\n",
      "('Find answer for doc.', 958)\n",
      "('Find answer for doc.', 959)\n",
      "('Find answer for doc.', 960)\n",
      "('Find answer for doc.', 961)\n",
      "('Find answer for doc.', 962)\n",
      "('Find answer for doc.', 963)\n",
      "('Find answer for doc.', 964)\n",
      "('Find answer for doc.', 965)\n",
      "('Find answer for doc.', 966)\n",
      "('Find answer for doc.', 967)\n",
      "('Find answer for doc.', 968)\n",
      "('Find answer for doc.', 969)\n",
      "('Find answer for doc.', 970)\n",
      "('Find answer for doc.', 971)\n",
      "('Find answer for doc.', 972)\n",
      "('Find answer for doc.', 973)\n",
      "('Find answer for doc.', 974)\n",
      "('Find answer for doc.', 975)\n",
      "('Find answer for doc.', 976)\n",
      "('Find answer for doc.', 977)\n",
      "('Find answer for doc.', 978)\n",
      "('Find answer for doc.', 979)\n",
      "('Find answer for doc.', 980)\n",
      "('Find answer for doc.', 981)\n",
      "('Find answer for doc.', 982)\n",
      "('Find answer for doc.', 983)\n",
      "('Find answer for doc.', 984)\n",
      "('Find answer for doc.', 985)\n",
      "('Find answer for doc.', 986)\n",
      "('Find answer for doc.', 987)\n",
      "('Find answer for doc.', 988)\n",
      "('Find answer for doc.', 989)\n",
      "('Find answer for doc.', 990)\n",
      "('Find answer for doc.', 991)\n",
      "('Find answer for doc.', 992)\n",
      "('Find answer for doc.', 993)\n",
      "('Find answer for doc.', 994)\n",
      "('Find answer for doc.', 995)\n",
      "('Find answer for doc.', 996)\n",
      "('Find answer for doc.', 997)\n",
      "('Find answer for doc.', 998)\n",
      "('Find answer for doc.', 999)\n"
     ]
    }
   ],
   "source": [
    "sim_results_test, rank_results_test = find_ranking_quick(X1_test_1, X2_test_1, model_lstm2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1000.000000\n",
       "mean       62.276500\n",
       "std        89.741584\n",
       "min         1.000000\n",
       "25%        10.000000\n",
       "50%        29.000000\n",
       "75%        66.125000\n",
       "max       630.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(rank_results_test).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using Theano backend.\n",
      "WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be removed in the next release (v0.10).  Please switch to the gpuarray backend. You can get more information about how to switch at this URL:\n",
      " https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29\n",
      "\n",
      "Using gpu device 0: GeForce GTX TITAN X (CNMeM is enabled with initial size: 95.0% of memory, cuDNN 4007)\n",
      "/home/M2015eliu/.pyenv/versions/anaconda2-4.1.1/lib/python2.7/site-packages/gensim/utils.py:1015: UserWarning: Pattern library is not installed, lemmatization won't be available.\n",
      "  warnings.warn(\"Pattern library is not installed, lemmatization won't be available.\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Reading english Data:', 5000)\n",
      "('Reading english Data:', 5000)\n",
      "Merging the English and Japanes news dataframe...\n",
      "Drop the null line...\n",
      "False    4995\n",
      "True        5\n",
      "Name: en_article, dtype: int64\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "keras_title.py:358: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['word2vec_en'] = df_pairs_sample['en_article'].apply(doc2vec_en)\n",
      "keras_title.py:359: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['word2vec_jp'] = df_pairs_sample['jp_article'].apply(doc2vec_jp)\n",
      "keras_title.py:363: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['padding_en'] = df_pairs_sample['word2vec_en'].apply(padding)\n",
      "keras_title.py:364: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  df_pairs_sample['padding_jp'] = df_pairs_sample['word2vec_jp'].apply(padding)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C value = 2 position: [305, 3934]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "keras_title.py:432: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=sigmoid.0, inputs=[/main_inp...)`\n",
      "  model_lstm2 = Model(input=[input_1, input_2], output=main_output)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "main_input_1 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "main_input_2 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lstm_1 (LSTM)                    (None, 50)            50200       main_input_1[0][0]               \n",
      "____________________________________________________________________________________________________\n",
      "lstm_2 (LSTM)                    (None, 50)            50200       main_input_2[0][0]               \n",
      "____________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)      (None, 100)           0           lstm_1[0][0]                     \n",
      "                                                                   lstm_2[0][0]                     \n",
      "____________________________________________________________________________________________________\n",
      "dense_1 (Dense)                  (None, 100)           10100       concatenate_1[0][0]              \n",
      "____________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)              (None, 100)           0           dense_1[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "dense_2 (Dense)                  (None, 50)            5050        dropout_1[0][0]                  \n",
      "____________________________________________________________________________________________________\n",
      "dropout_2 (Dropout)              (None, 50)            0           dense_2[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "main_output (Dense)              (None, 1)             51          dropout_2[0][0]                  \n",
      "====================================================================================================\n",
      "Total params: 115,601\n",
      "Trainable params: 115,601\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n",
      "Train on 8000 samples, validate on 2000 samples\n",
      "Epoch 1/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.6552 - acc: 0.5829 - val_loss: 0.5630 - val_acc: 0.6935\n",
      "Epoch 2/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.4575 - acc: 0.7880 - val_loss: 0.4343 - val_acc: 0.7995\n",
      "Epoch 3/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.3489 - acc: 0.8538 - val_loss: 0.4082 - val_acc: 0.8180\n",
      "Epoch 4/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.2816 - acc: 0.8926 - val_loss: 0.3607 - val_acc: 0.8580\n",
      "Epoch 5/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.2251 - acc: 0.9220 - val_loss: 0.4060 - val_acc: 0.8515\n",
      "Epoch 6/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.1882 - acc: 0.9319 - val_loss: 0.4243 - val_acc: 0.8360\n",
      "Epoch 7/10\n",
      "8000/8000 [==============================] - 12s - loss: 0.1625 - acc: 0.9441 - val_loss: 0.4458 - val_acc: 0.8470\n",
      "Epoch 8/10\n",
      "2080/8000 [======>.......................] - ETA: 8s - loss: 0.1500 - acc: 0.9495"
     ]
    }
   ],
   "source": [
    "run keras_title.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1000.000000\n",
       "mean       68.907000\n",
       "std       100.500762\n",
       "min         1.000000\n",
       "25%        11.000000\n",
       "50%        30.000000\n",
       "75%        79.625000\n",
       "max       801.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(rank_results_test_slow).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<string>:103: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=[Subtensor..., inputs=[/main_inp...)`\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "main_input_1 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "main_input_2 (InputLayer)        (None, 50, 200)       0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lstm_3 (LSTM)                    (None, 50)            50200       main_input_1[0][0]               \n",
      "____________________________________________________________________________________________________\n",
      "lstm_4 (LSTM)                    (None, 50)            50200       main_input_2[0][0]               \n",
      "====================================================================================================\n",
      "Total params: 100,400\n",
      "Trainable params: 100,400\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<string>:138: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=sigmoid.0, inputs=[/lstm1, /...)`\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "____________________________________________________________________________________________________\n",
      "Layer (type)                     Output Shape          Param #     Connected to                     \n",
      "====================================================================================================\n",
      "lstm1 (InputLayer)               (None, 50)            0                                            \n",
      "____________________________________________________________________________________________________\n",
      "lsmt2 (InputLayer)               (None, 50)            0                                            \n",
      "____________________________________________________________________________________________________\n",
      "concatenate_2 (Concatenate)      (None, 100)           0           lstm1[0][0]                      \n",
      "                                                                   lsmt2[0][0]                      \n",
      "____________________________________________________________________________________________________\n",
      "dense_3 (Dense)                  (None, 100)           10100       concatenate_2[0][0]              \n",
      "____________________________________________________________________________________________________\n",
      "dropout_3 (Dropout)              (None, 100)           0           dense_3[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "dense_4 (Dense)                  (None, 50)            5050        dropout_3[0][0]                  \n",
      "____________________________________________________________________________________________________\n",
      "dropout_4 (Dropout)              (None, 50)            0           dense_4[0][0]                    \n",
      "____________________________________________________________________________________________________\n",
      "main_output (Dense)              (None, 1)             51          dropout_4[0][0]                  \n",
      "====================================================================================================\n",
      "Total params: 15,201\n",
      "Trainable params: 15,201\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n",
      "None\n",
      "('Find answer for doc.', 0)\n",
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      "('Find answer for doc.', 404)\n",
      "('Find answer for doc.', 405)\n",
      "('Find answer for doc.', 406)\n",
      "('Find answer for doc.', 407)\n",
      "('Find answer for doc.', 408)\n",
      "('Find answer for doc.', 409)\n",
      "('Find answer for doc.', 410)\n",
      "('Find answer for doc.', 411)\n",
      "('Find answer for doc.', 412)\n",
      "('Find answer for doc.', 413)\n",
      "('Find answer for doc.', 414)\n",
      "('Find answer for doc.', 415)\n",
      "('Find answer for doc.', 416)\n",
      "('Find answer for doc.', 417)\n",
      "('Find answer for doc.', 418)\n",
      "('Find answer for doc.', 419)\n",
      "('Find answer for doc.', 420)\n",
      "('Find answer for doc.', 421)\n",
      "('Find answer for doc.', 422)\n",
      "('Find answer for doc.', 423)\n",
      "('Find answer for doc.', 424)\n",
      "('Find answer for doc.', 425)\n",
      "('Find answer for doc.', 426)\n",
      "('Find answer for doc.', 427)\n",
      "('Find answer for doc.', 428)\n",
      "('Find answer for doc.', 429)\n",
      "('Find answer for doc.', 430)\n",
      "('Find answer for doc.', 431)\n",
      "('Find answer for doc.', 432)\n",
      "('Find answer for doc.', 433)\n",
      "('Find answer for doc.', 434)\n",
      "('Find answer for doc.', 435)\n",
      "('Find answer for doc.', 436)\n",
      "('Find answer for doc.', 437)\n",
      "('Find answer for doc.', 438)\n",
      "('Find answer for doc.', 439)\n",
      "('Find answer for doc.', 440)\n",
      "('Find answer for doc.', 441)\n",
      "('Find answer for doc.', 442)\n",
      "('Find answer for doc.', 443)\n",
      "('Find answer for doc.', 444)\n",
      "('Find answer for doc.', 445)\n",
      "('Find answer for doc.', 446)\n",
      "('Find answer for doc.', 447)\n",
      "('Find answer for doc.', 448)\n",
      "('Find answer for doc.', 449)\n",
      "('Find answer for doc.', 450)\n",
      "('Find answer for doc.', 451)\n",
      "('Find answer for doc.', 452)\n",
      "('Find answer for doc.', 453)\n",
      "('Find answer for doc.', 454)\n",
      "('Find answer for doc.', 455)\n",
      "('Find answer for doc.', 456)\n",
      "('Find answer for doc.', 457)\n",
      "('Find answer for doc.', 458)\n",
      "('Find answer for doc.', 459)\n",
      "('Find answer for doc.', 460)\n",
      "('Find answer for doc.', 461)\n",
      "('Find answer for doc.', 462)\n",
      "('Find answer for doc.', 463)\n",
      "('Find answer for doc.', 464)\n",
      "('Find answer for doc.', 465)\n",
      "('Find answer for doc.', 466)\n",
      "('Find answer for doc.', 467)\n",
      "('Find answer for doc.', 468)\n",
      "('Find answer for doc.', 469)\n",
      "('Find answer for doc.', 470)\n",
      "('Find answer for doc.', 471)\n",
      "('Find answer for doc.', 472)\n",
      "('Find answer for doc.', 473)\n",
      "('Find answer for doc.', 474)\n",
      "('Find answer for doc.', 475)\n",
      "('Find answer for doc.', 476)\n",
      "('Find answer for doc.', 477)\n",
      "('Find answer for doc.', 478)\n",
      "('Find answer for doc.', 479)\n",
      "('Find answer for doc.', 480)\n",
      "('Find answer for doc.', 481)\n",
      "('Find answer for doc.', 482)\n",
      "('Find answer for doc.', 483)\n",
      "('Find answer for doc.', 484)\n",
      "('Find answer for doc.', 485)\n",
      "('Find answer for doc.', 486)\n",
      "('Find answer for doc.', 487)\n",
      "('Find answer for doc.', 488)\n",
      "('Find answer for doc.', 489)\n",
      "('Find answer for doc.', 490)\n",
      "('Find answer for doc.', 491)\n",
      "('Find answer for doc.', 492)\n",
      "('Find answer for doc.', 493)\n",
      "('Find answer for doc.', 494)\n",
      "('Find answer for doc.', 495)\n",
      "('Find answer for doc.', 496)\n",
      "('Find answer for doc.', 497)\n",
      "('Find answer for doc.', 498)\n",
      "('Find answer for doc.', 499)\n",
      "('Find answer for doc.', 500)\n",
      "('Find answer for doc.', 501)\n",
      "('Find answer for doc.', 502)\n",
      "('Find answer for doc.', 503)\n",
      "('Find answer for doc.', 504)\n",
      "('Find answer for doc.', 505)\n",
      "('Find answer for doc.', 506)\n",
      "('Find answer for doc.', 507)\n",
      "('Find answer for doc.', 508)\n",
      "('Find answer for doc.', 509)\n",
      "('Find answer for doc.', 510)\n",
      "('Find answer for doc.', 511)\n",
      "('Find answer for doc.', 512)\n",
      "('Find answer for doc.', 513)\n",
      "('Find answer for doc.', 514)\n",
      "('Find answer for doc.', 515)\n",
      "('Find answer for doc.', 516)\n",
      "('Find answer for doc.', 517)\n",
      "('Find answer for doc.', 518)\n",
      "('Find answer for doc.', 519)\n",
      "('Find answer for doc.', 520)\n",
      "('Find answer for doc.', 521)\n",
      "('Find answer for doc.', 522)\n",
      "('Find answer for doc.', 523)\n",
      "('Find answer for doc.', 524)\n",
      "('Find answer for doc.', 525)\n",
      "('Find answer for doc.', 526)\n",
      "('Find answer for doc.', 527)\n",
      "('Find answer for doc.', 528)\n",
      "('Find answer for doc.', 529)\n",
      "('Find answer for doc.', 530)\n",
      "('Find answer for doc.', 531)\n",
      "('Find answer for doc.', 532)\n",
      "('Find answer for doc.', 533)\n",
      "('Find answer for doc.', 534)\n",
      "('Find answer for doc.', 535)\n",
      "('Find answer for doc.', 536)\n",
      "('Find answer for doc.', 537)\n",
      "('Find answer for doc.', 538)\n",
      "('Find answer for doc.', 539)\n",
      "('Find answer for doc.', 540)\n",
      "('Find answer for doc.', 541)\n",
      "('Find answer for doc.', 542)\n",
      "('Find answer for doc.', 543)\n",
      "('Find answer for doc.', 544)\n",
      "('Find answer for doc.', 545)\n",
      "('Find answer for doc.', 546)\n",
      "('Find answer for doc.', 547)\n",
      "('Find answer for doc.', 548)\n",
      "('Find answer for doc.', 549)\n",
      "('Find answer for doc.', 550)\n",
      "('Find answer for doc.', 551)\n",
      "('Find answer for doc.', 552)\n",
      "('Find answer for doc.', 553)\n",
      "('Find answer for doc.', 554)\n",
      "('Find answer for doc.', 555)\n",
      "('Find answer for doc.', 556)\n",
      "('Find answer for doc.', 557)\n",
      "('Find answer for doc.', 558)\n",
      "('Find answer for doc.', 559)\n",
      "('Find answer for doc.', 560)\n",
      "('Find answer for doc.', 561)\n",
      "('Find answer for doc.', 562)\n",
      "('Find answer for doc.', 563)\n",
      "('Find answer for doc.', 564)\n",
      "('Find answer for doc.', 565)\n",
      "('Find answer for doc.', 566)\n",
      "('Find answer for doc.', 567)\n",
      "('Find answer for doc.', 568)\n",
      "('Find answer for doc.', 569)\n",
      "('Find answer for doc.', 570)\n",
      "('Find answer for doc.', 571)\n",
      "('Find answer for doc.', 572)\n",
      "('Find answer for doc.', 573)\n",
      "('Find answer for doc.', 574)\n",
      "('Find answer for doc.', 575)\n",
      "('Find answer for doc.', 576)\n",
      "('Find answer for doc.', 577)\n",
      "('Find answer for doc.', 578)\n",
      "('Find answer for doc.', 579)\n",
      "('Find answer for doc.', 580)\n",
      "('Find answer for doc.', 581)\n",
      "('Find answer for doc.', 582)\n",
      "('Find answer for doc.', 583)\n",
      "('Find answer for doc.', 584)\n",
      "('Find answer for doc.', 585)\n",
      "('Find answer for doc.', 586)\n",
      "('Find answer for doc.', 587)\n",
      "('Find answer for doc.', 588)\n",
      "('Find answer for doc.', 589)\n",
      "('Find answer for doc.', 590)\n",
      "('Find answer for doc.', 591)\n",
      "('Find answer for doc.', 592)\n",
      "('Find answer for doc.', 593)\n",
      "('Find answer for doc.', 594)\n",
      "('Find answer for doc.', 595)\n",
      "('Find answer for doc.', 596)\n",
      "('Find answer for doc.', 597)\n",
      "('Find answer for doc.', 598)\n",
      "('Find answer for doc.', 599)\n",
      "('Find answer for doc.', 600)\n",
      "('Find answer for doc.', 601)\n",
      "('Find answer for doc.', 602)\n",
      "('Find answer for doc.', 603)\n",
      "('Find answer for doc.', 604)\n",
      "('Find answer for doc.', 605)\n",
      "('Find answer for doc.', 606)\n",
      "('Find answer for doc.', 607)\n",
      "('Find answer for doc.', 608)\n",
      "('Find answer for doc.', 609)\n",
      "('Find answer for doc.', 610)\n",
      "('Find answer for doc.', 611)\n",
      "('Find answer for doc.', 612)\n",
      "('Find answer for doc.', 613)\n",
      "('Find answer for doc.', 614)\n",
      "('Find answer for doc.', 615)\n",
      "('Find answer for doc.', 616)\n",
      "('Find answer for doc.', 617)\n",
      "('Find answer for doc.', 618)\n",
      "('Find answer for doc.', 619)\n",
      "('Find answer for doc.', 620)\n",
      "('Find answer for doc.', 621)\n",
      "('Find answer for doc.', 622)\n",
      "('Find answer for doc.', 623)\n",
      "('Find answer for doc.', 624)\n",
      "('Find answer for doc.', 625)\n",
      "('Find answer for doc.', 626)\n",
      "('Find answer for doc.', 627)\n",
      "('Find answer for doc.', 628)\n",
      "('Find answer for doc.', 629)\n",
      "('Find answer for doc.', 630)\n",
      "('Find answer for doc.', 631)\n",
      "('Find answer for doc.', 632)\n",
      "('Find answer for doc.', 633)\n",
      "('Find answer for doc.', 634)\n",
      "('Find answer for doc.', 635)\n",
      "('Find answer for doc.', 636)\n",
      "('Find answer for doc.', 637)\n",
      "('Find answer for doc.', 638)\n",
      "('Find answer for doc.', 639)\n",
      "('Find answer for doc.', 640)\n",
      "('Find answer for doc.', 641)\n",
      "('Find answer for doc.', 642)\n",
      "('Find answer for doc.', 643)\n",
      "('Find answer for doc.', 644)\n",
      "('Find answer for doc.', 645)\n",
      "('Find answer for doc.', 646)\n",
      "('Find answer for doc.', 647)\n",
      "('Find answer for doc.', 648)\n",
      "('Find answer for doc.', 649)\n",
      "('Find answer for doc.', 650)\n",
      "('Find answer for doc.', 651)\n",
      "('Find answer for doc.', 652)\n",
      "('Find answer for doc.', 653)\n",
      "('Find answer for doc.', 654)\n",
      "('Find answer for doc.', 655)\n",
      "('Find answer for doc.', 656)\n",
      "('Find answer for doc.', 657)\n",
      "('Find answer for doc.', 658)\n",
      "('Find answer for doc.', 659)\n",
      "('Find answer for doc.', 660)\n",
      "('Find answer for doc.', 661)\n",
      "('Find answer for doc.', 662)\n",
      "('Find answer for doc.', 663)\n",
      "('Find answer for doc.', 664)\n",
      "('Find answer for doc.', 665)\n",
      "('Find answer for doc.', 666)\n",
      "('Find answer for doc.', 667)\n",
      "('Find answer for doc.', 668)\n",
      "('Find answer for doc.', 669)\n",
      "('Find answer for doc.', 670)\n",
      "('Find answer for doc.', 671)\n",
      "('Find answer for doc.', 672)\n",
      "('Find answer for doc.', 673)\n",
      "('Find answer for doc.', 674)\n",
      "('Find answer for doc.', 675)\n",
      "('Find answer for doc.', 676)\n",
      "('Find answer for doc.', 677)\n",
      "('Find answer for doc.', 678)\n",
      "('Find answer for doc.', 679)\n",
      "('Find answer for doc.', 680)\n",
      "('Find answer for doc.', 681)\n",
      "('Find answer for doc.', 682)\n",
      "('Find answer for doc.', 683)\n",
      "('Find answer for doc.', 684)\n",
      "('Find answer for doc.', 685)\n",
      "('Find answer for doc.', 686)\n",
      "('Find answer for doc.', 687)\n",
      "('Find answer for doc.', 688)\n",
      "('Find answer for doc.', 689)\n",
      "('Find answer for doc.', 690)\n",
      "('Find answer for doc.', 691)\n",
      "('Find answer for doc.', 692)\n",
      "('Find answer for doc.', 693)\n",
      "('Find answer for doc.', 694)\n",
      "('Find answer for doc.', 695)\n",
      "('Find answer for doc.', 696)\n",
      "('Find answer for doc.', 697)\n",
      "('Find answer for doc.', 698)\n",
      "('Find answer for doc.', 699)\n",
      "('Find answer for doc.', 700)\n",
      "('Find answer for doc.', 701)\n",
      "('Find answer for doc.', 702)\n",
      "('Find answer for doc.', 703)\n",
      "('Find answer for doc.', 704)\n",
      "('Find answer for doc.', 705)\n",
      "('Find answer for doc.', 706)\n",
      "('Find answer for doc.', 707)\n",
      "('Find answer for doc.', 708)\n",
      "('Find answer for doc.', 709)\n",
      "('Find answer for doc.', 710)\n",
      "('Find answer for doc.', 711)\n",
      "('Find answer for doc.', 712)\n",
      "('Find answer for doc.', 713)\n",
      "('Find answer for doc.', 714)\n",
      "('Find answer for doc.', 715)\n",
      "('Find answer for doc.', 716)\n",
      "('Find answer for doc.', 717)\n",
      "('Find answer for doc.', 718)\n",
      "('Find answer for doc.', 719)\n",
      "('Find answer for doc.', 720)\n",
      "('Find answer for doc.', 721)\n",
      "('Find answer for doc.', 722)\n",
      "('Find answer for doc.', 723)\n",
      "('Find answer for doc.', 724)\n",
      "('Find answer for doc.', 725)\n",
      "('Find answer for doc.', 726)\n",
      "('Find answer for doc.', 727)\n",
      "('Find answer for doc.', 728)\n",
      "('Find answer for doc.', 729)\n",
      "('Find answer for doc.', 730)\n",
      "('Find answer for doc.', 731)\n",
      "('Find answer for doc.', 732)\n",
      "('Find answer for doc.', 733)\n",
      "('Find answer for doc.', 734)\n",
      "('Find answer for doc.', 735)\n",
      "('Find answer for doc.', 736)\n",
      "('Find answer for doc.', 737)\n",
      "('Find answer for doc.', 738)\n",
      "('Find answer for doc.', 739)\n",
      "('Find answer for doc.', 740)\n",
      "('Find answer for doc.', 741)\n",
      "('Find answer for doc.', 742)\n",
      "('Find answer for doc.', 743)\n",
      "('Find answer for doc.', 744)\n",
      "('Find answer for doc.', 745)\n",
      "('Find answer for doc.', 746)\n",
      "('Find answer for doc.', 747)\n",
      "('Find answer for doc.', 748)\n",
      "('Find answer for doc.', 749)\n",
      "('Find answer for doc.', 750)\n",
      "('Find answer for doc.', 751)\n",
      "('Find answer for doc.', 752)\n",
      "('Find answer for doc.', 753)\n",
      "('Find answer for doc.', 754)\n",
      "('Find answer for doc.', 755)\n",
      "('Find answer for doc.', 756)\n",
      "('Find answer for doc.', 757)\n",
      "('Find answer for doc.', 758)\n",
      "('Find answer for doc.', 759)\n",
      "('Find answer for doc.', 760)\n",
      "('Find answer for doc.', 761)\n",
      "('Find answer for doc.', 762)\n",
      "('Find answer for doc.', 763)\n",
      "('Find answer for doc.', 764)\n",
      "('Find answer for doc.', 765)\n",
      "('Find answer for doc.', 766)\n",
      "('Find answer for doc.', 767)\n",
      "('Find answer for doc.', 768)\n",
      "('Find answer for doc.', 769)\n",
      "('Find answer for doc.', 770)\n",
      "('Find answer for doc.', 771)\n",
      "('Find answer for doc.', 772)\n",
      "('Find answer for doc.', 773)\n",
      "('Find answer for doc.', 774)\n",
      "('Find answer for doc.', 775)\n",
      "('Find answer for doc.', 776)\n",
      "('Find answer for doc.', 777)\n",
      "('Find answer for doc.', 778)\n",
      "('Find answer for doc.', 779)\n",
      "('Find answer for doc.', 780)\n",
      "('Find answer for doc.', 781)\n",
      "('Find answer for doc.', 782)\n",
      "('Find answer for doc.', 783)\n",
      "('Find answer for doc.', 784)\n",
      "('Find answer for doc.', 785)\n",
      "('Find answer for doc.', 786)\n",
      "('Find answer for doc.', 787)\n",
      "('Find answer for doc.', 788)\n",
      "('Find answer for doc.', 789)\n",
      "('Find answer for doc.', 790)\n",
      "('Find answer for doc.', 791)\n",
      "('Find answer for doc.', 792)\n",
      "('Find answer for doc.', 793)\n",
      "('Find answer for doc.', 794)\n",
      "('Find answer for doc.', 795)\n",
      "('Find answer for doc.', 796)\n",
      "('Find answer for doc.', 797)\n",
      "('Find answer for doc.', 798)\n",
      "('Find answer for doc.', 799)\n",
      "('Find answer for doc.', 800)\n",
      "('Find answer for doc.', 801)\n",
      "('Find answer for doc.', 802)\n",
      "('Find answer for doc.', 803)\n",
      "('Find answer for doc.', 804)\n",
      "('Find answer for doc.', 805)\n",
      "('Find answer for doc.', 806)\n",
      "('Find answer for doc.', 807)\n",
      "('Find answer for doc.', 808)\n",
      "('Find answer for doc.', 809)\n",
      "('Find answer for doc.', 810)\n",
      "('Find answer for doc.', 811)\n",
      "('Find answer for doc.', 812)\n",
      "('Find answer for doc.', 813)\n",
      "('Find answer for doc.', 814)\n",
      "('Find answer for doc.', 815)\n",
      "('Find answer for doc.', 816)\n",
      "('Find answer for doc.', 817)\n",
      "('Find answer for doc.', 818)\n",
      "('Find answer for doc.', 819)\n",
      "('Find answer for doc.', 820)\n",
      "('Find answer for doc.', 821)\n",
      "('Find answer for doc.', 822)\n",
      "('Find answer for doc.', 823)\n",
      "('Find answer for doc.', 824)\n",
      "('Find answer for doc.', 825)\n",
      "('Find answer for doc.', 826)\n",
      "('Find answer for doc.', 827)\n",
      "('Find answer for doc.', 828)\n",
      "('Find answer for doc.', 829)\n",
      "('Find answer for doc.', 830)\n",
      "('Find answer for doc.', 831)\n",
      "('Find answer for doc.', 832)\n",
      "('Find answer for doc.', 833)\n",
      "('Find answer for doc.', 834)\n",
      "('Find answer for doc.', 835)\n",
      "('Find answer for doc.', 836)\n",
      "('Find answer for doc.', 837)\n",
      "('Find answer for doc.', 838)\n",
      "('Find answer for doc.', 839)\n",
      "('Find answer for doc.', 840)\n",
      "('Find answer for doc.', 841)\n",
      "('Find answer for doc.', 842)\n",
      "('Find answer for doc.', 843)\n",
      "('Find answer for doc.', 844)\n",
      "('Find answer for doc.', 845)\n",
      "('Find answer for doc.', 846)\n",
      "('Find answer for doc.', 847)\n",
      "('Find answer for doc.', 848)\n",
      "('Find answer for doc.', 849)\n",
      "('Find answer for doc.', 850)\n",
      "('Find answer for doc.', 851)\n",
      "('Find answer for doc.', 852)\n",
      "('Find answer for doc.', 853)\n",
      "('Find answer for doc.', 854)\n",
      "('Find answer for doc.', 855)\n",
      "('Find answer for doc.', 856)\n",
      "('Find answer for doc.', 857)\n",
      "('Find answer for doc.', 858)\n",
      "('Find answer for doc.', 859)\n",
      "('Find answer for doc.', 860)\n",
      "('Find answer for doc.', 861)\n",
      "('Find answer for doc.', 862)\n",
      "('Find answer for doc.', 863)\n",
      "('Find answer for doc.', 864)\n",
      "('Find answer for doc.', 865)\n",
      "('Find answer for doc.', 866)\n",
      "('Find answer for doc.', 867)\n",
      "('Find answer for doc.', 868)\n",
      "('Find answer for doc.', 869)\n",
      "('Find answer for doc.', 870)\n",
      "('Find answer for doc.', 871)\n",
      "('Find answer for doc.', 872)\n",
      "('Find answer for doc.', 873)\n",
      "('Find answer for doc.', 874)\n",
      "('Find answer for doc.', 875)\n",
      "('Find answer for doc.', 876)\n",
      "('Find answer for doc.', 877)\n",
      "('Find answer for doc.', 878)\n",
      "('Find answer for doc.', 879)\n",
      "('Find answer for doc.', 880)\n",
      "('Find answer for doc.', 881)\n",
      "('Find answer for doc.', 882)\n",
      "('Find answer for doc.', 883)\n",
      "('Find answer for doc.', 884)\n",
      "('Find answer for doc.', 885)\n",
      "('Find answer for doc.', 886)\n",
      "('Find answer for doc.', 887)\n",
      "('Find answer for doc.', 888)\n",
      "('Find answer for doc.', 889)\n",
      "('Find answer for doc.', 890)\n",
      "('Find answer for doc.', 891)\n",
      "('Find answer for doc.', 892)\n",
      "('Find answer for doc.', 893)\n",
      "('Find answer for doc.', 894)\n",
      "('Find answer for doc.', 895)\n",
      "('Find answer for doc.', 896)\n",
      "('Find answer for doc.', 897)\n",
      "('Find answer for doc.', 898)\n",
      "('Find answer for doc.', 899)\n",
      "('Find answer for doc.', 900)\n",
      "('Find answer for doc.', 901)\n",
      "('Find answer for doc.', 902)\n",
      "('Find answer for doc.', 903)\n",
      "('Find answer for doc.', 904)\n",
      "('Find answer for doc.', 905)\n",
      "('Find answer for doc.', 906)\n",
      "('Find answer for doc.', 907)\n",
      "('Find answer for doc.', 908)\n",
      "('Find answer for doc.', 909)\n",
      "('Find answer for doc.', 910)\n",
      "('Find answer for doc.', 911)\n",
      "('Find answer for doc.', 912)\n",
      "('Find answer for doc.', 913)\n",
      "('Find answer for doc.', 914)\n",
      "('Find answer for doc.', 915)\n",
      "('Find answer for doc.', 916)\n",
      "('Find answer for doc.', 917)\n",
      "('Find answer for doc.', 918)\n",
      "('Find answer for doc.', 919)\n",
      "('Find answer for doc.', 920)\n",
      "('Find answer for doc.', 921)\n",
      "('Find answer for doc.', 922)\n",
      "('Find answer for doc.', 923)\n",
      "('Find answer for doc.', 924)\n",
      "('Find answer for doc.', 925)\n",
      "('Find answer for doc.', 926)\n",
      "('Find answer for doc.', 927)\n",
      "('Find answer for doc.', 928)\n",
      "('Find answer for doc.', 929)\n",
      "('Find answer for doc.', 930)\n",
      "('Find answer for doc.', 931)\n",
      "('Find answer for doc.', 932)\n",
      "('Find answer for doc.', 933)\n",
      "('Find answer for doc.', 934)\n",
      "('Find answer for doc.', 935)\n",
      "('Find answer for doc.', 936)\n",
      "('Find answer for doc.', 937)\n",
      "('Find answer for doc.', 938)\n",
      "('Find answer for doc.', 939)\n",
      "('Find answer for doc.', 940)\n",
      "('Find answer for doc.', 941)\n",
      "('Find answer for doc.', 942)\n",
      "('Find answer for doc.', 943)\n",
      "('Find answer for doc.', 944)\n",
      "('Find answer for doc.', 945)\n",
      "('Find answer for doc.', 946)\n",
      "('Find answer for doc.', 947)\n",
      "('Find answer for doc.', 948)\n",
      "('Find answer for doc.', 949)\n",
      "('Find answer for doc.', 950)\n",
      "('Find answer for doc.', 951)\n",
      "('Find answer for doc.', 952)\n",
      "('Find answer for doc.', 953)\n",
      "('Find answer for doc.', 954)\n",
      "('Find answer for doc.', 955)\n",
      "('Find answer for doc.', 956)\n",
      "('Find answer for doc.', 957)\n",
      "('Find answer for doc.', 958)\n",
      "('Find answer for doc.', 959)\n",
      "('Find answer for doc.', 960)\n",
      "('Find answer for doc.', 961)\n",
      "('Find answer for doc.', 962)\n",
      "('Find answer for doc.', 963)\n",
      "('Find answer for doc.', 964)\n",
      "('Find answer for doc.', 965)\n",
      "('Find answer for doc.', 966)\n",
      "('Find answer for doc.', 967)\n",
      "('Find answer for doc.', 968)\n",
      "('Find answer for doc.', 969)\n",
      "('Find answer for doc.', 970)\n",
      "('Find answer for doc.', 971)\n",
      "('Find answer for doc.', 972)\n",
      "('Find answer for doc.', 973)\n",
      "('Find answer for doc.', 974)\n",
      "('Find answer for doc.', 975)\n",
      "('Find answer for doc.', 976)\n",
      "('Find answer for doc.', 977)\n",
      "('Find answer for doc.', 978)\n",
      "('Find answer for doc.', 979)\n",
      "('Find answer for doc.', 980)\n",
      "('Find answer for doc.', 981)\n",
      "('Find answer for doc.', 982)\n",
      "('Find answer for doc.', 983)\n",
      "('Find answer for doc.', 984)\n",
      "('Find answer for doc.', 985)\n",
      "('Find answer for doc.', 986)\n",
      "('Find answer for doc.', 987)\n",
      "('Find answer for doc.', 988)\n",
      "('Find answer for doc.', 989)\n",
      "('Find answer for doc.', 990)\n",
      "('Find answer for doc.', 991)\n",
      "('Find answer for doc.', 992)\n",
      "('Find answer for doc.', 993)\n",
      "('Find answer for doc.', 994)\n",
      "('Find answer for doc.', 995)\n",
      "('Find answer for doc.', 996)\n",
      "('Find answer for doc.', 997)\n",
      "('Find answer for doc.', 998)\n",
      "('Find answer for doc.', 999)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    1000.000000\n",
       "mean       68.907000\n",
       "std       100.500762\n",
       "min         1.000000\n",
       "25%        11.000000\n",
       "50%        30.000000\n",
       "75%        79.625000\n",
       "max       801.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_results_test, rank_results_test = find_ranking_quick(X1_test_1, X2_test_1, model_lstm2)\n",
    "pd.Series(rank_results_test).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1000.000000\n",
       "mean       68.907000\n",
       "std       100.500762\n",
       "min         1.000000\n",
       "25%        11.000000\n",
       "50%        30.000000\n",
       "75%        79.625000\n",
       "max       801.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(rank_results_test_slow).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 50, 200)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_en_1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y_pred = model_lstm2.predict([X1_test, X2_test])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classification report of TEST data:\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.81      0.87      0.84      1000\n",
      "        1.0       0.86      0.80      0.83      1000\n",
      "\n",
      "avg / total       0.83      0.83      0.83      2000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print \"classification report of TEST data:\"\n",
    "print(classification_report(y_test, y_pred>0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classification report of TEST data:\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.99      0.97      0.98      4000\n",
      "        1.0       0.97      0.99      0.98      4000\n",
      "\n",
      "avg / total       0.98      0.98      0.98      8000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred2 = model_lstm2.predict([X1_train, X2_train])\n",
    "print \"classification report of TEST data:\"\n",
    "print(classification_report(y_train, y_pred2>0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "True\n",
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "for i in (y_pred>0.5)[:,0]:\n",
    "    print i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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