data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
data/config/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/__init__.py,sha256=LjvesrUtRrVg4kLGW-3wOGF6rXKcpq3vrljyyciNo0w,500
premium/config.py,sha256=IQg8WRFi2QhZMCNWexOHTrJFiMXZM_FHG4lc3IuAUg4,111
premium/measure.py,sha256=XzilBWBgbOPxMwRAKIie99iyP0b1I0HNONncxx09wSQ,2803
premium/segment.py,sha256=vot9-_H0wqfpwXM08YYYvsgU7wgLoZPNCWrljbEev-s,5369
premium/algorithm/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/automl/__init__.py,sha256=vd8HoqwlMWVYdVbsT8-sxptmJPYLR28PrHtqw0TslNA,726
premium/base/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/base/pipeline.py,sha256=O2wzFKVEaHorRk3jLKtfVgZgk-hgNwVnEmS_7adUPKM,988
premium/classifiers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/classifiers/baseline.py,sha256=g4o5h06cxFLRjsG22T-ZDe3Kcg5Ig0XvgE-cOb4O0MA,4776
premium/classifiers/bases.py,sha256=XiN64aNi8RLeq-W5sNSKKPpND9PsG0Ygp7pMUtJbWws,5791
premium/classifiers/dataset.py,sha256=1vChYghTCOaL5RvCS6kTs3E1jscf7V-akctncV24skc,2590
premium/classifiers/tokenizers.py,sha256=saiO2hEn6KD0CY_O4hKsd1JGwIIJXTXogZo_MBkBWd8,270
premium/classifiers/tree_models.py,sha256=IH1rJkvHIATnh2wUAPb-MNaLGhqyVQONY_2ivFJxu6E,1098
premium/classifiers/voting.py,sha256=rwBITHb2sXhymm0ZHW-uSmrAsKdOIVzBXFllVwCfe54,789
premium/classifiers/binary/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/classifiers/binary/benchmark.py,sha256=DHm1xCDC751J3WBwg-zEk8zRQiQJHaefbYURUUpYy1o,4566
premium/classifiers/binary/bert.py,sha256=T3UVKeS5Mq0vF85UpeDrC3u0EFst_R3AgfLJi5Y7LM4,12354
premium/classifiers/binary/lstm.py,sha256=LH00qPJfcuLpHVVT8zkq3OoJTnID37od80gjf8v2P0A,3914
premium/classifiers/binary/mlp.py,sha256=QeCUeyuVfJM8j96Eiph5mJm0UrG_Y8onFEmzHLT_Fks,2276
premium/classifiers/binary/nb.py,sha256=W0QGDXsPLZysnzHCa3aehmjKMnZ0odUvalvYFB_sqM8,1666
premium/classifiers/binary/rnn.py,sha256=TjLDonAaGEYxNbeMpq3kidtDPNMurZ7xGBOa1PP_dsE,9396
premium/classifiers/binary/textfast.py,sha256=EZ9DJ6emIrN5AmBY2eZfzcbG9sm5PjluQybo7rPS0Qc,4482
premium/classifiers/multi/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/classifiers/multi/benchmark.py,sha256=I-X8yUdoO8yzS7x-41bpcxRMjsRHlp5Vwxx4DsYXLqw,4098
premium/classifiers/multi/lstm.py,sha256=44kCPzI3aDNo1_tZI4DOaW1bzU7r8fwIk6_YoScSLys,5420
premium/classifiers/multi/macbert.py,sha256=aKC7r_tVAF5ZNHUgHJ3NdTHzMOhYgZjgihx7Y23Fg7M,6453
premium/classifiers/multi/nb.py,sha256=z8sM3dIjo8Sh6F9p1Qhs8pm_aBVINSnt-TRZR6geCQg,159
premium/classifiers/multi/textfast.py,sha256=kRJQueT6L1hM5yDa-Kg1qGU_dk_mlDy1x1rydDZCacs,2993
premium/corpus/__init__.py,sha256=0Uhb9E-j5B_Pd5v4nid4BObVHyNU5UPKyBSuQelD-o4,30
premium/corpus/stopwords.py,sha256=LrL5dPH8L3QMMAab8sIy9_TLfLEdamzdtrTqLEYSSOc,1074
premium/corpus/texts.py,sha256=lvuV2IcZeKuYxVsxtSmXaA7naLLKgfDk0tz8LLDVNFo,933
premium/corpus/utils.py,sha256=a-v0ZGkKjzCB941Exxj5t6QsnjSTGHQnxF1ezbpiY8U,447
premium/data/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
premium/data/_dict.py,sha256=QfyvP9tTugD7AQ_fNl6I02BvszvWGdBREa3sEjmtObw,3344
premium/data/augumentation.py,sha256=wq1-g1zZ2U-polTx_jmc2PID35qaruNM3w0F-8o0whc,2136
premium/data/csv.py,sha256=N4QIRC71Nrv8ymC05ca0kJZfe8bdgJaMsiwN8QQxogw,3682
premium/data/datasets.py,sha256=IXW0MW6-1j6VAld5b8C6mOzChiM2Xft48avIP1ctAXM,10134
premium/data/eda.py,sha256=u4ymY99O5g4f6OngR1pCYTVq4bdXsb814Ukq-IO1xpE,3002
premium/data/loader.py,sha256=Rz8bLHQLg6FUV7hjaarD2dFZqtwLeBvWodh5VQBE5ao,865
premium/data/ner.py,sha256=OvNihXW_fxCLBArOMu0zhfUfQtBMPPG17Ugaq8hFzVk,6473
premium/data/postprocess.py,sha256=IY4vxi8lvxxlO8AdmL7L1miBnVpB0NbQeuNZLu1wAU8,2277
premium/data/preprocess.py,sha256=rbaiK5WWvo29_kE00vRIoVSrHdsiMmoYoBEIji7AGfE,12455
premium/data/utils.py,sha256=wOiRjZvbJ_VoLKIc0JT7zOc0Og4cqj3bNE_Bbqo0lQs,4670
premium/data/classification/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/experimental/cbow.py,sha256=O4cUSvh8MOXeWyz0oQwLx5CGIB1qFJLtvijfH14rdFc,6624
premium/experimental/eda.py,sha256=wD5dldNZDx3Q29fuwSPjGGHpJeLX5Pz73I-2fzZa9u4,2569
premium/experimental/kaggle.py,sha256=0ltt5jWEjpiPrB_T0OsmqskfiYZt7Q4cvRgP_0xFtGw,1462
premium/experimental/myfasttext.py,sha256=yLuudm6sao580liAzprSnhasVKjbdnabJjlfC0Oxmb4,8572
premium/experimental/ner.py,sha256=KOd8JeG_ggRgnZnz7ZDSL3C7EgxFwm2Ie8x0ORwkv4g,1498
premium/experimental/nn_metric.py,sha256=TUr8sdV28FwwYsZJ7dGu8ciC9ghGxrpEsMhK-aNCpFw,2272
premium/experimental/segment_train.py,sha256=zmAlrFO6cAW8mC3ukUPqUXsIzp0KY6WZEmrMOXIVEcI,2889
premium/experimental/textnn.py,sha256=51wqasVl8sh65mSrxcD4sCg_SNYJ9jckmwxUcGAnLvY,3315
premium/experimental/torch_crf.py,sha256=xG0WLdKLtlPwpUB4_8YMCwxHVru9ceev1Mn4_igHT60,14328
premium/lightning/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/lightning/base.py,sha256=TS45KdQKrqeKGYW8AEK0kGyUBsYDCulM8ie6w3Xvuo8,952
premium/lightning/callbacks.py,sha256=D0Q2px4u90-dBmOmhtStctKbg0UI8QFlpis3m5LFdFo,4448
premium/localdata/27.mp3,sha256=EHZLv34KxjRBJEEKA_02zOX-dCiME921Go3cdMg_q5s,1001504
premium/localdata/27.wav,sha256=c_zT6fvf52-mlkgrYmgxe4aq0bIxvelbNzT0rIA5ZUs,5340812
premium/localdata/cn_stopwords.txt,sha256=rEfdNr5MoFddrvmtJFCC8yDlFSbAdS1KC-5hGGzQPug,4695
premium/localdata/dict.txt,sha256=ZO33XWHINW7Ik7CopWto5ybtVsHGjdThd-edDp2GYG0,1134854
premium/localdata/emit_p.pickle,sha256=GjtkW_3qU7nPPkc7MiL-GA_qHz4eXFt_nJBWWfCdXck,278548
premium/localdata/en_stopwords.txt,sha256=v2Z7mT01hITKvm9B0evnyh3ZckangBtmAzFnnfVcbOk,621
premium/localdata/oov.txt,sha256=1LSUpjLgBUkf9DONF973zxDBn4EGHEKGyV7nqp8z1TE,61
premium/localdata/puredict.txt,sha256=yaZcRdDUp7hW6mEqAIJoxLyWjQ7p4-SFMc1yrhvWdZ0,844962
premium/localdata/soledad.txt,sha256=c5FP07JKpFRwzpxHydnJAi9mRWldnE3_y9T9UFDmqM8,755791
premium/localdata/trans.pickle,sha256=rK4eRS-o9gzv28sT-Q3LSHhUkb--i79nW5eC9IInIWo,176
premium/localdata/xinhua.txt,sha256=ImsxVrTIoBBuMGFwSSllt3pAUojTDovXFX7zRB5hyz4,7310398
premium/metrics/__init__.py,sha256=ePIq1z2j7zlqh51GycBA2rYB7DbTr33bty9CeCULC8k,1289
premium/metrics/distance.py,sha256=dm_DUvQN4vl6m1i76AAkKhWuh7u33lMsjC6JtGno72c,876
premium/metrics/metrix.py,sha256=ASnp1iNzs1_nQByyBRNoeRYvzdRZBbx-hjk1Yv5J9e8,2990
premium/models/__init__.py,sha256=Dw6LWZZ1wobEsIObHHghDZCPzr0W_ji6OBcysmiM364,42
premium/models/base.py,sha256=bMdDQewE-X-_FGtgCOYkSxyID_XFUs2afSEs-UR_VAo,6835
premium/models/benchmark.py,sha256=dlWAGOkN9cnkVeTCVBxi-UU6tEpUaGlURdgr5DjxzAE,3178
premium/models/bert.py,sha256=s4XEt_kQOWyqPhOmWPxLp3UvZMuLXN7tCzSPeMEqCcM,1209
premium/models/binary_classifiers.py,sha256=eh2Tw0TvAWqFcJYBHfFoPIEDDzoVggpxNqDqQPME3vk,6238
premium/models/clf.py,sha256=IOCNG37SmKObosAjhGyImDCAtr8wRMzTq0zlJMYVuig,3939
premium/models/lgb.py,sha256=oK4n89le6dIFkv8m_iICHpUf3fACMsWmnZ1hE452cxU,10472
premium/models/model_config.py,sha256=2x5xTJdF-B0j3i9sMnuZBc645g_8TzVI_zc0LW9y7gQ,2697
premium/models/multi_classifier.py,sha256=Fu3L9A_rqHWKd7l5prBvYgkJFkNK_EEewFrudDqwmJ8,6144
premium/models/nn.py,sha256=9-7aeTy1LUOhHTFmQHwRFhbIbfvhF9BOLWrqu_7t9BI,22231
premium/models/optuna.py,sha256=PETDS5MhTfIpn0BMpZ4bmo4a48mVr_DwwX9BrO67lzw,4954
premium/models/regressor.py,sha256=bOpLpN_0sHfT8rbqdLYVDsL_lLgAZb3tBXh9qLC5QVs,7796
premium/models/touchstone.py,sha256=12NjkmFzUe8RDjH16m84BHx3KgLgBdWyVCd3f_D85sg,11038
premium/models/xgb.py,sha256=vHL9tXjkHQPhg-9MN64Ep2DnDBiutrdnlR39PxEOYuU,1783
premium/models/tensorflow/__init__.py,sha256=qnnKPy2SlsWRN4J1j6B9tfHQnf2N67jz93Bgx0dlOAU,127
premium/models/tensorflow/binary_classifier.py,sha256=xeOcYTeFwtM2rdIGfyGRSuXg8mv04ubcBG08jt6cyq4,2857
premium/models/tensorflow/info.py,sha256=MRlxI1EbOpp_r5Ajhnhd5mUZPD0cDSN1EgjRgQxnLM8,186
premium/ner/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/ner/bert.py,sha256=KuyB5BIo_9lpwHmGMyzMn2dAChp-dqFI5LgQtaAEYUc,463
premium/nlp/__init__.py,sha256=bXQbo_I8C9pUBw7xvuVKgo7GzMXfSRqJ34JSYTg-rVw,66
premium/nlp/metrics.py,sha256=sUb_u45YkjBccKIehJtSYc_xhHdTsxdpzrVcPWTer8w,3209
premium/nlp/net.py,sha256=QHU2tfRwBlM0x80F-BwTl7SCuszAFIiCeSxw1WXlqmE,1212
premium/nlp/nlp.py,sha256=TpNu8GKCEgwJ2vRPdAXdPhzM7dqXp_XpCKHK3zq69oY,1086
premium/preprocessing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/preprocessing/data_augment.py,sha256=fGi7zbpePn7ccebrLSEt8yn-8-MrLJLbB0udFot696I,4520
premium/preprocessing/metrics.py,sha256=lB6Z6__wAXYjat1UQjdnxP5R0clbG3_wI1S6B566i34,2352
premium/preprocessing/ner.py,sha256=MLLFY8X_Hxd3VI5nex2zf6u6YtpFOM5qUNfqddSvhvE,9099
premium/preprocessing/text.py,sha256=ug-VypmeNIelW5wqqkwjPrEzPwv66AxtzwIe3p85e6I,425
premium/preprocessing/vectorizer.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/pytorch/__init__.py,sha256=n1LuJXaQgDX4efsoLYH1EFC8ZnOSz8K1g-an20B6dPo,849
premium/pytorch/data.py,sha256=lt3iGeUfxxn7goD0pRFRMQgqjbzhHPoBejKlmpFX09U,2271
premium/pytorch/tokenizer.py,sha256=LFHtcyo1y7Bzdeg3bZdPSAUnz6xeaKLW97QZ0eHk73E,7648
premium/pytorch/trainer.py,sha256=td0W396sVF4bLmaV1qIviSs7bPhOoF8JRatjkYCd5To,2136
premium/pytorch/utils.py,sha256=fXqRV0TqNSRVspThcoXTHvZo2AtmBeUnX0SsrJdFfmg,275
premium/text_feature/__init__.py,sha256=gr5_SkbCwY-5DPXYkAtbnbcSZEWgMjuhyRacHs701jU,36
premium/text_feature/bm25.py,sha256=NPLuOq8gEzOxDzx77NKeLn8osNfUdwGHHVSsatbSIKU,6089
premium/text_feature/sif.py,sha256=l_FmRD0SJ124FX1QTKCGk-3SEXURRKnCQHm9ynG2iEI,3362
premium/topics/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/topics/lsa.py,sha256=w4W3ePbM0Voj519SbYYKCzf9ofcx153T4f-YhRApEeQ,2407
premium/utils/__init__.py,sha256=Ra0Jph6XEJDdv2fcq8Ms2MeOlalsskVfZONN0RQF8FI,1661
premium/utils/decorators.py,sha256=W43Wr8Hm5hwg3PuB1zzszHmHjOp2-A0_EWe2rE5nyxg,563
premium/wheels/__init__.py,sha256=2aWyl5nlo7kWk9pkZcAEWNGIYdSQzGWT6YqlobRSTEA,36
premium/wheels/transformers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
premium/wheels/transformers/layers.py,sha256=jRGZSxS-iD2mtu0nWNXT3PjRW1NBFi-MCK3-f2Pa-IU,3099
tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/test_preprocessing_ner.py,sha256=-U4KxO0cfOgQ2qmxTpv_1LwjnswexpL3BIfEgTriCtY,1139
premium-23.9.8.16.dist-info/METADATA,sha256=tLknUUEZLpzbriJNN01CHIVulwpte6Ak80kWqsWTkoY,683
premium-23.9.8.16.dist-info/WHEEL,sha256=AtBG6SXL3KF_v0NxLf0ehyVOh0cold-JbJYXNGorC6Q,92
premium-23.9.8.16.dist-info/entry_points.txt,sha256=W35cDWFhQtqX2_10RH580NhrBRyhKQ2sDUjqD1JuSv8,65
premium-23.9.8.16.dist-info/top_level.txt,sha256=twL409xCvyehm7Tv_C-GZ-xlo_0az_5f5S_-0hASshQ,19
premium-23.9.8.16.dist-info/RECORD,,
