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itemseg

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1.6.0 itemseg-1.6.0-py3-none-any.whl

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Project: itemseg
Version: 1.6.0
Filename: itemseg-1.6.0-py3-none-any.whl
Download: [link]
Size: 33427
MD5: f8347c647eaec65646cdaf2ebb5bef08
SHA256: ffa4d2f231ecb12df61e2e761d19b9aff78387aae4d51bcce942706a4485a6d9
Uploaded: 2023-12-28 05:10:43 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: itemseg
Version: 1.6.0
Summary: 10-K Report Item Segmentation with Line-based Attention (ISLA)
Author-Email: "Hsin-Min Lu; Huan-Hsun Yen; Yen-Hsiu Chen" <luim[at]ntu.edu.tw>
Project-Url: Documentation, https://github.com/hsinmin/isla#readme
Project-Url: Issues, https://github.com/hsinmin/itemseg/issues
Project-Url: Source, https://github.com/hsinmin/itemseg
Keywords: 10-K,Item Segmentation,Sequence Labeling
Classifier: Development Status :: 4 - Beta
Classifier: License :: Free for non-commercial use
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8
Requires-Dist: gensim (>=4.3.0)
Requires-Dist: inscriptis (>=2.3.2)
Requires-Dist: nltk (>=3.5)
Requires-Dist: numpy (>=1.23.0)
Requires-Dist: pandas (>=1.1.0)
Requires-Dist: python-crfsuite (>=0.9.7)
Requires-Dist: requests (>=2.22.0)
Requires-Dist: scikit-learn (>=0.24.2)
Requires-Dist: scipy (>=1.10.0)
Requires-Dist: torch (>=1.13.1)
Requires-Dist: urllib3 (>=1.25.8)
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 3900 characters]

WHEEL

Wheel-Version: 1.0
Generator: hatchling 1.21.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
itemseg/__about__.py sha256=yAwCmqTk-YAoJKF1P2YMsbO_HHfKNSdMO4m9vrW9_HA 135
itemseg/__init__.py sha256=d_fArILUtR69nCJl_SfV91cBiOKetjhswUorLQKYslA 24045
itemseg/__main__.py sha256=6durm0rksIz2NrptVb6M-E6uK2ElDQSWF6-aGhE8nqY 125
itemseg/crf_feature_lib_v8.py sha256=HJ3yrjy3uxYUf-ktJM8inJAdEqxyk8_sDzHFIn59oCA 19222
itemseg/lib_10kq_seg_v1.py sha256=2kRPdbSg7x-UHM79WE3_GLMLbcdYfBdzA6o4RPaXWWE 49724
itemseg-1.6.0.dist-info/METADATA sha256=774jncaHw2FhvzYUKziL8Yo8sAV6IQ-iq1nCZA8XJVs 5299
itemseg-1.6.0.dist-info/WHEEL sha256=mRYSEL3Ih6g5a_CVMIcwiF__0Ae4_gLYh01YFNwiq1k 87
itemseg-1.6.0.dist-info/entry_points.txt sha256=q7SXCAHPGdVbIgX5xiVeudMRffFzl-uyv8WiHMXx-38 41
itemseg-1.6.0.dist-info/licenses/LICENSE.txt sha256=F28ut1gK4QIFUXs3018YxI6pbn6F5LJhHGXbRoPckoc 19352
itemseg-1.6.0.dist-info/RECORD — —

entry_points.txt

[console_scripts]
itemseg = itemseg:main