Wheelodex » Projects » knlp

knlp

View on PyPI — Reverse Dependencies (0)

0.2.2 knlp-0.2.2-py3-none-any.whl

Wheel Details

Project: knlp
Version: 0.2.2
Filename: knlp-0.2.2-py3-none-any.whl
Download: [link]
Size: 148879
MD5: c6b89fbe1e94783af87e5285887460ed
SHA256: 8288565f47e12ba4ba9473717ef43035ca2157667be1a7cef364d332cd026572
Uploaded: 2021-09-16 15:28:37 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: knlp
Version: 0.2.2
Summary: KUAI SU(Quickly use) Python toolkit for Chinese Language Processing.
Author: Junyi Li
Author-Email: ljyduke[at]gmail.com
Home-Page: https://github.com/DukeEnglish/knlp
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: asttokens (==2.0.2)
Requires-Dist: attrs (==20.3.0)
Requires-Dist: decorator (==4.4.2)
Requires-Dist: executing (==0.3.3)
Requires-Dist: heartrate (==0.2.1)
Requires-Dist: importlib-metadata (==3.4.0)
Requires-Dist: iniconfig (==1.1.1)
Requires-Dist: jieba (==0.42.1)
Requires-Dist: networkx (==2.5)
Requires-Dist: numpy (==1.19.5)
Requires-Dist: packaging (==20.9)
Requires-Dist: pluggy (==0.13.1)
Requires-Dist: py (==1.10.0)
Requires-Dist: pyparsing (==2.4.7)
Requires-Dist: snownlp (==0.12.3)
Requires-Dist: toml (==0.10.2)
Requires-Dist: typing-extensions (==3.7.4.3)
Requires-Dist: zipp (==3.4.0)
Description-Content-Type: text/markdown
[Description omitted; length: 1670 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
knlp/__init__.py sha256=qEkpmhjwhjSmj75ldntYPvH2QdgjCrh9zC3HKPNytWg 5078
knlp/application/__init__.py sha256=GvzyDknomvGoOfLpM-piGNTQgUy4veJktnUCHDCg_ic 299
knlp/application/wudao.py sha256=5gh2XHwb8pYb72nB1wiCbZqBLcz29B3vRtRfgRN-4nA 780
knlp/common/__init__.py sha256=qIplb8rrxqtNiuCPHKcKIjFUausmYzyxIxRfsbEjxL4 299
knlp/common/constant.py sha256=Qp9eb_Z1lOdTfW_O9rDbEK_ZZkVjh_7VMJmlVnhE43Y 571
knlp/data/__init__.py sha256=W4ktMWh50m4L20D9BlcTW27tD5YQz6SJZ1je88Ontlw 649
knlp/data/pytest_data.txt sha256=a81calSSq_rTNkYnDByYZ9rObCvLkbM8yQZWpG4yPJo 826
knlp/data/stopwords.txt sha256=6PicYNm_ktohic3c0Oh3zs-OCiNXjCh7jpyexOK5DMg 7374
knlp/data/seg_data/train/__init__.py sha256=qIplb8rrxqtNiuCPHKcKIjFUausmYzyxIxRfsbEjxL4 299
knlp/data/seg_data/train/pku_hmm_training_data_sample.txt sha256=0Mopi2KhHNZClrgFcsQQNiKc70RcjPYbKu97qtOPEI4 585
knlp/data/seg_data/train/pku_vocab.txt sha256=7By9f3fplaNygh9NgnxNbL3LlxQkHGs15SbcLJJ5OpI 11629
knlp/information_extract/__init__.py sha256=C9dlbPKYcAGlRlJbpUEB8fjV_ig_zn2KvPn0o6KLXG8 424
knlp/information_extract/inference.py sha256=-i1x5MoFeV6vqHWMkdJxWyE69tRuYuw-ORGXQKYKhXU 1704
knlp/information_extract/keywords_extraction/README.md sha256=tNEuNEuBDIKi2-GxIJCFWYoLDM5mJbCT-3nCCXqz6IA 1771
knlp/information_extract/keywords_extraction/__init__.py sha256=BctCUrNBkU9Mk8rNOBOeh3Et0I_IaEA6hLcPQcZjMJs 96
knlp/information_extract/keywords_extraction/label.txt sha256=m-or2nrF9wruGr3kS_9vG1EGPeVvqQJdOK61JZ3hUPI 12
knlp/information_extract/keywords_extraction/seg4IE.py sha256=z27zEZ2UXU060dzhdjLKoFtxZ1nVYf5fLLmscwmUT6Q 4092
knlp/information_extract/keywords_extraction/textrank.py sha256=f3HHzwT_-n2OYZiLwtELgsxzO35PLrMb9WdcIsiCItg 3761
knlp/information_extract/keywords_extraction/textrank_keyword.py sha256=qC9UmAqLUX79BvDihRTIfFJVDe5kGEBSaDqJNB629s4 7190
knlp/information_extract/keywords_extraction/textrank_sentence.py sha256=gENVvVefSxq4TYsNUrpUVIinLyMlwqUzcF6T2tLFE64 7584
knlp/model/__init__.py sha256=uMM-nrWb3M8HYEDCEZgi5uRI4Io4P-CHmnoGVJWq0xA 484
knlp/model/hmm/emission_pro.json sha256=DUdjd5IcNiBHKllOVaMiSToCtLy8l0n2lF7wlyG3HsY 447317
knlp/model/hmm/init_state_set.json sha256=uU6642RfPDSwb4rplKwcZuHR0UoBt0ILaRxEUnMdKew 112
knlp/model/hmm/state_set.json sha256=YcEG_9CtzDjiTWZSQumMwLBLPDIXHbFncTAjg4WXom4 32258
knlp/model/hmm/transition_pro.json sha256=cXgJIh8S-r9pte1Ejw_rJ0TQvK9HPxS2wGwLIq8HpHw 289
knlp/nn/__init__.py sha256=GvzyDknomvGoOfLpM-piGNTQgUy4veJktnUCHDCg_ic 299
knlp/nn/base_nn_model.py sha256=mGaQnsrBVJgPYFoOr0CjbvJeuncy1cxdMalQjfO-3sk 437
knlp/passage_summary/__init__.py sha256=-TRwj5Ieku_QS6jyzJHOcVo5zaNgv3LJutvzi_dvnvU 298
knlp/passage_summary/inference.py sha256=xIr8MYhhjBk5I8FjoOZQeyHwAzWpr8MRBcW1_wVg80E 296
knlp/samples/IE_sample.py sha256=j_IYE8Xwjht9RoOdMlLr6wa9poI0cm1iHYS-Nf1dd0E 2302
knlp/samples/__init__.py sha256=B9VBO_KFuGT2KUG0vKGC4kC1YsOAQQQNSm21ygayuyg 800
knlp/samples/hmm_sample.py sha256=WFwa_csXb9_itvX4eQMgZGzVs7lcSPB3_zvaR96eN48 2372
knlp/samples/seg_evaluation.py sha256=zV7dxZ-7RM23jW-_Sn_uLfuVs4Vx4t-oYYSPYGSXH48 1152
knlp/samples/seg_sample.py sha256=Bz2HI2Wx6A7AS6rY5y8ECsBDeM-_prhylFu5zFs12Ek 721
knlp/seq_generation/__init__.py sha256=GvzyDknomvGoOfLpM-piGNTQgUy4veJktnUCHDCg_ic 299
knlp/seq_generation/poem_gen/__init__.py sha256=GvzyDknomvGoOfLpM-piGNTQgUy4veJktnUCHDCg_ic 299
knlp/seq_generation/poem_gen/fast_api_wudao.py sha256=RtS7qLANwXp7n7b0rYMw3Nqs1LpGcFKj1hAvRrRNHVs 1832
knlp/seq_labeling/__init__.py sha256=krsEDBUiZIw2YJrdoP8B81Ty00uH5kdDvsKCpyxTNyk 546
knlp/seq_labeling/data_helper.py sha256=N6Cu3-rIs-8sd4ZSKbJ-oCNsYGLGUxoNW5T6Hu8ZFEE 3847
knlp/seq_labeling/inference.py sha256=B6XpmG6O65HrXkzgLF5T3CHLgeH0TI_hJbgFZTo6Cw4 1483
knlp/seq_labeling/ner.py sha256=nf7nBfoesEuvhfkcLpAi59D6Wdzc3mcIwFrtKOGO05Q 857
knlp/seq_labeling/seg.py sha256=sXb7lxDkj4Bh8sBl7mDKYjk6i6YPOvZ-J6G70PoYYNo 4066
knlp/seq_labeling/utils.py sha256=3cnlkrKgGL22BRZVXro4HUGJmv3ojiuJ0foNTSlJSA8 2079
knlp/seq_labeling/crf/__init__.py sha256=c-9A3RhlAS4NkFwjb8lYH4L7j9sAKYyzyV0EW8KrLL4 299
knlp/seq_labeling/crf/train.py sha256=AcFxgS4PFyUCq-Udly2qFas9bmDJlwQTpdsx9-CKlz0 293
knlp/seq_labeling/hmm/__init__.py sha256=c-9A3RhlAS4NkFwjb8lYH4L7j9sAKYyzyV0EW8KrLL4 299
knlp/seq_labeling/hmm/inference.py sha256=3MgKGWZEj0B_FFoE_lcz37GrKUSTrfbVx4EX_OXYEN0 7118
knlp/seq_labeling/hmm/train.py sha256=fXv0vihwWI_D86HBjY0FoOJcBWZE0TBrtjualtwUv8U 11115
knlp/seq_labeling/model_train/__init__.py sha256=-TRwj5Ieku_QS6jyzJHOcVo5zaNgv3LJutvzi_dvnvU 298
knlp/seq_labeling/model_train/evaluation_seq_labeling.py sha256=_c45X7JQyzZeDn9QrnHsVqcEVXlwoT_rVlPLm-bOL4E 706
knlp/seq_labeling/model_train/train_base.py sha256=h7rS1jEQ-q0N8a-JhJ1Zc8coSfkgKDEyLWt7Ac5XXjA 852
knlp/seq_sentiment/__init__.py sha256=FZBq2_SJCnR54ZSjqBJzu_UvoDfWJLVzDwvbKcEvAQw 374
knlp/seq_sentiment/inference.py sha256=pOZ5bF4D7uGiqzath57L989J-EfoWLkYF0Bn3MKpD2c 793
knlp/seq_sentiment/sentiment.py sha256=Z9_ZvZL4Erh6hqJdMu1sTPNgOFt9ccQ3K-Rk-hc6hjQ 737
knlp/similarity/__init__.py sha256=-TRwj5Ieku_QS6jyzJHOcVo5zaNgv3LJutvzi_dvnvU 298
knlp/similarity/inference.py sha256=-0KAvSJxQL9Md8YLpTdZJXxxN6rIBRd_3ryQpXGe0Go 880
knlp/similarity/similarity_calculator.py sha256=v0x3A22xLc9ciOIuavkX6TK6tFPYtOgnoGUeRFbVtLo 805
knlp/utils/__init__.py sha256=H9GvHnBacv6ZQIY7TO9UwkENVgOKhJtNSe1wtyfP9B4 299
knlp/utils/util.py sha256=hzwLZdnFzEA3lF9Sq2vqca7UMIDojhVz2Dc5Zn6YLLA 3159
knlp-0.2.2.dist-info/LICENSE.md sha256=WI5JtXXhjcqnIcPllDA1ZtuxNnZ515xjElcILo7z28o 1073
knlp-0.2.2.dist-info/METADATA sha256=D3mDSJNnA7UOP-G7aCfBtE3rngbq94PLR1mN1I24N6k 3614
knlp-0.2.2.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
knlp-0.2.2.dist-info/top_level.txt sha256=cfveR0zhCDOHJb0Y5LaYIpXsRJzVYOm7a8micP0eYC0 5
knlp-0.2.2.dist-info/RECORD — —

top_level.txt

knlp