Wheelodex » Projects » tlp-classifier

tlp-classifier

View on PyPI — Reverse Dependencies (0)

0.1.10 tlp_classifier-0.1.10-py3-none-any.whl
0.1.2 tlp_classifier-0.1.2-py3-none-any.whl

Wheel Details

Project: tlp-classifier
Version: 0.1.2
Filename: tlp_classifier-0.1.2-py3-none-any.whl
Download: [link]
Size: 27145
MD5: 8eaa26b9fcfda31b7a78bebf40e8533d
SHA256: 55f81ca85c1af0c1dd793e5102f9600a8ca3d7fe93fac553c8b4b6c90ceba1b0
Uploaded: 2021-01-21 17:18:33 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tlp-classifier
Version: 0.1.2
Summary: A command-line tool for automatically classifying ternary labelling problems (hence TLP) on bipartite trees.
Author: Tanguy Rocher, Aleksandr Tereshchenko
Author-Email: tanguy.rocher[at]epfl.ch, aleksandr.tereshch[at]gmail.com
Home-Page: https://github.com/AleksTeresh/tlp-classifier
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: tqdm
Requires-Dist: bitarray
Description-Content-Type: text/markdown
[Description omitted; length: 531 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tlp_classifier/__init__.py sha256=tb4f0YkXYjEDQUu0u6b9Rr2TlBpZXKJ7aW4szyVU2zM 230
tlp_classifier/__main__.py sha256=cW3nTB3HAkNb8HMg1SeQebIJrx776MYaJs_mbzqmknQ 2436
tlp_classifier/algorithms.py sha256=Lwdd75Ovl9d5Kw1HsMMHhoBLJdd0di3DB9g1-QPHGrE 5275
tlp_classifier/api.py sha256=L5VwUHNgVVZ266z0W0CQFFT7ZzUS00KWyxbY8GBDrIg 3138
tlp_classifier/classifier.py sha256=R-8-gzhXDKaPpKj0Uegd5zB45_vX6fnhdtjfsjfzWFg 7118
tlp_classifier/complexity.py sha256=xwlrv5xxEKoxRRXgCgJ96VPkHYA6rpmdh3O3eBwFkYc 460
tlp_classifier/file_help.py sha256=o9eOGLoZagF9HX6H6RLSoAGq2WUYFlGgJhBGlEf_6qM 1689
tlp_classifier/generator.py sha256=VNdBhx4gNP7e38CGlnHrzevUxmUdBKQxlnKKX_0l1Sg 1666
tlp_classifier/input.py sha256=GS3fB-bkRsCD9nCw2N3YcZnh_CeR4EopnaGvH62pjnE 2414
tlp_classifier/problem.py sha256=5dw2hY8t9TSQH2el200eFoVRFOkhr5VN56ytgkJsXVQ 8296
tlp_classifier/problem_set.py sha256=KYFYyeOrajylLSr4iuDcYxRKMIFsni9zzIXJBRLehiE 182
tlp_classifier/tools.py sha256=6RlgNVN6-zCcxtWBoUQZp0Qj_GN9EQthMA98BLQRZS8 1003
tlp_classifier/two_labels_classifier.py sha256=sGzPJEATKsda8lWxQyvbc_5njCbeVlDdVkPbZe8vzjs 3001
tlp_classifier-0.1.2.dist-info/AUTHORS sha256=WH_qGFOMiyCM_QjpdZm9gZ53mNsdctexkJVUp8pGeSE 96
tlp_classifier-0.1.2.dist-info/COPYING.txt sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
tlp_classifier-0.1.2.dist-info/LICENSE sha256=sPyUPNqphduSheB8YcyRNtplnCfZ0VVBBaQVUDWdroQ 1221
tlp_classifier-0.1.2.dist-info/METADATA sha256=eRS1RR6UNvT52T0NvDhuZfF9Wb8p0BLR1w7lVzF1YYE 1141
tlp_classifier-0.1.2.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
tlp_classifier-0.1.2.dist-info/top_level.txt sha256=zt_AdXQcQ9jFTunQzKHMKAxAGBzXGD2wkW3Wj0yJRKA 15
tlp_classifier-0.1.2.dist-info/RECORD — —

top_level.txt

tlp_classifier