Wheelodex » Projects » kashgari-tf

kashgari-tf

View on PyPI — Reverse Dependencies (1)

0.5.5 kashgari_tf-0.5.5-py3-none-any.whl

Wheel Details

Project: kashgari-tf
Version: 0.5.5
Filename: kashgari_tf-0.5.5-py3-none-any.whl
Download: [link]
Size: 75132
MD5: 071ccdb11813d462d55c3ffdeebfc633
SHA256: 92d6561dd9d6b743791c2aba6aac7e1ec4902ec7e2e09cbf562f3c9d0730a489
Uploaded: 2019-10-18 07:57:55 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: kashgari-tf
Version: 0.5.5
Summary: Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.
Author: BrikerMan
Author-Email: eliyar917[at]gmail.com
Home-Page: https://github.com/BrikerMan/Kashgari
License: Apache License 2.0
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >3.6
Requires-Dist: numpy (==1.16.4)
Requires-Dist: scikit-learn (>=0.21.1)
Requires-Dist: h5py
Requires-Dist: keras-bert (>=0.50.0)
Requires-Dist: keras-gpt-2 (>=0.8.0)
Requires-Dist: gensim (>=3.5.0)
Requires-Dist: seqeval (==0.0.10)
Requires-Dist: pandas (>=0.23.0)
Description-Content-Type: text/markdown
[Description omitted; length: 8617 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
kashgari/__init__.py sha256=V0kTJNK3VipzVkeRUHLaYvaPI4uz8vEHoz_KDebIMR4 881
kashgari/callbacks.py sha256=s69usyyAJC7hx4xasjxg7_zFGkCWuo24koMr14TjPxw 2205
kashgari/corpus.py sha256=U5uUB43jDmyUX8HYSkjNY9WZS-8o0IkaXAHOUun-CLg 7419
kashgari/macros.py sha256=2EXbjR4ZeI6rZW6TiCcYGlhRPEwoR0MTdjF9wK3iKbQ 1855
kashgari/migeration.py sha256=2VswcTyWB-LhUvjWvkzGHMeHjxKyM3EWw4nkn2r-LKU 2313
kashgari/utils.py sha256=PQfvqaPm06nfvj6iD9d2Phr64-eqAq6y0zp0It28Wu4 4816
kashgari/version.py sha256=iqI2FAJsH-6qbhox40zqMR84sXfooBpHmsXNaUntDhI 172
kashgari/embeddings/__init__.py sha256=kzXzUGPjyoa6xJJWtyUBXh44Ej5-L-EwfJ4A6k2yn98 542
kashgari/embeddings/bare_embedding.py sha256=11NeNhuVuhJigY0A6HsnrqkodLNM3ieAza7Eaekvy8k 2581
kashgari/embeddings/base_embedding.py sha256=D8bB4fhpCwfjTaXP9qMfPeFGPdjcr2IQ8UnMJx5L7aI 6837
kashgari/embeddings/bert_embedding.py sha256=av080kZfcUdfTRI4iXIiqWRcEvado8_jSiHj7Otq8bo 8173
kashgari/embeddings/gpt_2_embedding.py sha256=iZJ-pZlVdpmi0TFGX61sHvq50esqVNeLoFU1YtjFSrI 8869
kashgari/embeddings/numeric_feature_embedding.py sha256=ON6uNIy-a-bRmMvF3pI4nKrnBWUAJEu4gA_eAfZ6c_U 4149
kashgari/embeddings/stacked_embedding.py sha256=oPvrzwAk6bWgr5bOYz3t72t8hLxSTfLR8G5zhTRQK5c 4959
kashgari/embeddings/word_embedding.py sha256=dwufAfgXRXvkzB7rcubiCO2EVFL32ClXnrcP7M75llE 5193
kashgari/layers/__init__.py sha256=pjOhhFxcSUpKlJ4Rz3lF6BSxai21Yl2NbHnB8KatqJQ 589
kashgari/layers/att_wgt_avg_layer.py sha256=V1gOIRUuhmQHPR8y03oaiEBtbocudOvZkJbh12-7o64 3385
kashgari/layers/crf.py sha256=4NkZm2MKeO0kq1ABOVHTKeUPHcYs8Wsz3Kc8i2Pp7U8 5605
kashgari/layers/kmax_pool_layer.py sha256=gOHG2arsJPlRlypro2nU4BbknRqwxLccSw79I6ELWR8 3186
kashgari/layers/non_masking_layer.py sha256=YfriUVnyYb-g9P91rZCfBlmoFmSTh1wiwJoR1ehxZf4 885
kashgari/processors/__init__.py sha256=xQBl8vhf15vTjgZM9xJWBk_KL5Mmy4HjyZS6dmGRUMM 298
kashgari/processors/base_processor.py sha256=JrW0PTLsIoeghjDUmiS--IJ_YTJAD3lse6KLW3Gjgh4 5430
kashgari/processors/classification_processor.py sha256=j91anbmm7ZI645yHZGGFjA4l_zV544DEjrlgSOvOJRw 3307
kashgari/processors/labeling_processor.py sha256=itu-f3ZApfPbY02ZQ3dKGHT7xcBQY7Mi4ELF5ed-iEE 4006
kashgari/tasks/__init__.py sha256=S6p3AK4H_ekPxINFE7aQLbKADtugaJF1XG2efHzizmQ 275
kashgari/tasks/base_model.py sha256=xBf086BKSh0_bsNoNblGaxddHeLNyJ3Guy0kB-tP2fA 19366
kashgari/tasks/classification/__init__.py sha256=yHgKADbpX_0i9iKHfA85rthaB_vT45CvSMQ3PPG5Xzw 1240
kashgari/tasks/classification/base_model.py sha256=zugYFpYdjiVS7KOX8MnLeLyNN9W8OageL5muH8bWa2Q 8149
kashgari/tasks/classification/dpcnn_model.py sha256=e1KrYgxGZnCiS3RgetD8y4Dnk8riQkD-SVCrXO3ejEk 6183
kashgari/tasks/classification/models.py sha256=Jvc7nD_4ZH8SmSMlwsJlBQd51M31Suxw0w8ePfJvz40 23244
kashgari/tasks/labeling/__init__.py sha256=Gs8yn3q3DGnV8UK-pAyBHAX5lZnAAefuMWCyd3fYEzU 487
kashgari/tasks/labeling/base_model.py sha256=EFQI_-cqdPsU5EuW6dpu-pas4WfYXnu559YMmxGYXQk 4393
kashgari/tasks/labeling/experimental.py sha256=qY7actyDJEcLaXTPccdFPDlYbY_GoDeyjq8X1geGIZM 2538
kashgari/tasks/labeling/models.py sha256=BKhDJsDTNRUxYmwSG3MSQau8CQZze7AQloOy37cFUvI 9478
tests/classification/__init__.py sha256=JDKfcPHqyl3cbWCjz57ANKgXlZG_4MTFsyO7UDDy-sc 186
tests/classification/test_avcnn.py sha256=RC56XQ_5vZmK5HU9BMq5AEEpCAOWBESFl5oYa46dVKY 540
tests/classification/test_avrnn_model.py sha256=dhOTXXl25cXX00OrB8QA0xmIVKWIzIHLmZxD7h4JRjU 545
tests/classification/test_bi_gru.py sha256=ybTY_IHUybUQ7aR0lft37JGQiQLyNQnDcBPnU1B2DGA 444
tests/classification/test_bi_lstm.py sha256=hN2lbiIWuAzRm0WartgAc2vltXtWYC8EuaVJAiR1Qow 5370
tests/classification/test_cnn.py sha256=hOXz1qPgdXDEVQsz7SEuDF9Xl7zFE8roYEG7ZoPDh2g 437
tests/classification/test_cnn_gru.py sha256=BFMvEHW246i4PoSv3-ltPkue-OSbHijEGNd79j7c-6A 449
tests/classification/test_cnn_lstm.py sha256=DJZ_A4-qpPkTAcdUnXrLf0GSmHzp770izkd0ZHcayZM 452
tests/classification/test_dpcnn.py sha256=c5WWD_KeAkRQSgOGV2CVYTu4I4_jJNwxBZ_hu9BvLOM 1066
tests/classification/test_dropout_avrnn.py sha256=QQb73643U5XnRWZRtHUZq7iTy9w1ygsg_U3C3_g7YaA 580
tests/classification/test_dropout_bigru.py sha256=iidOX8BfLLpVMf3dcN9I21tzVaLFBpJKz9bPgQ3v22o 579
tests/classification/test_kmax_cnn.py sha256=r2ObYafRXd9ytkyfrTHxSdhYYpXsel00eVaO-snDQkQ 466
tests/classification/test_r_cnn.py sha256=o8ik1V_nM2NMDPNEFCrJ44xQ6q34D-wM_fYaaCt59Rc 539
tests/embedding/__init__.py sha256=lf2RdLrdcZxV_N4b7l9wnwsrv2DX1EcOtf7V34HsPE4 200
tests/embedding/test_bare_embedding.py sha256=XyxeAma31sk10DXqw_EKTdAqOW8JQn7IZivGmPfMjqw 3424
tests/embedding/test_bert_embedding.py sha256=Gqi7xs6HXX5dVMRaVvG8h1fmpiAPs8InP825IZXJ-U8 1105
tests/embedding/test_gpt2_embedding.py sha256=5Ko-VGIWjttnFgeGyQYD-nEJSMv2oVZhrFLOCGhfTlY 2770
tests/embedding/test_numeric_features_embedding.py sha256=xm0g2L-HRTciMQSM0sbD0nFVwolgdJolWQQgnLxL4Bc 763
tests/embedding/test_stacked_embedding.py sha256=-mQDVwMoIQPJxUoL3HsxeY3lNbd7ciJMPxbmHf-O7o4 4668
tests/embedding/test_word_embedding.py sha256=VR9GayGWLOhc7xmn_-cZXv5I_pW69HjqGC3tC97vsnc 1460
tests/labeling/__init__.py sha256=FSkQ06DuMRrCt4akLgXbBtHw0LOKxhLNzbOfSe6pJaM 197
tests/labeling/test_bi_gru_crf_model.py sha256=Em04CovOJToGZRxbyLON7fYwhnkgpvUPcArzKZsrNnk 555
tests/labeling/test_bi_gru_model.py sha256=e3wUlX-yFfRtwdpKmx1Ec4IPjCbmGzUXmNUvysoAlH0 552
tests/labeling/test_blstm_attention_model.py sha256=_HlPvzWh_KFJy97Vph5ZLKUivaABFRkPrShYLFCsfhQ 565
tests/labeling/test_blstm_crf_model.py sha256=ENMZnwmQMz2Pr6vVmOIUJny1NPc8uxjKXwOHZ4YjLy0 555
tests/labeling/test_blstm_model.py sha256=JU5nz3IjrpfYkZb90w4l2iWRVfKMqzD9gKnlca9xyrg 554
tests/labeling/test_cnn_lstm_model.py sha256=E3wBnPkw7IJ9RZfWoXxoX4uOfgCVEETEOAGCjQbebHA 3312
kashgari_tf-0.5.5.dist-info/LICENSE sha256=k6q-4nqhMKBRq3k5_ocINa60i1YxdT1U6ztdhx2qWDo 11339
kashgari_tf-0.5.5.dist-info/METADATA sha256=YMior7584_rFw9GdzUDW4Z7U0-2fVo9yqTiUpYiyc6M 9775
kashgari_tf-0.5.5.dist-info/WHEEL sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec 92
kashgari_tf-0.5.5.dist-info/top_level.txt sha256=-fNs44yhcAHCbTSx1flSOoCvIngB05jKvHAgOSi1ml4 15
kashgari_tf-0.5.5.dist-info/RECORD — —

top_level.txt

kashgari
tests