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mlrl-testbed

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0.10.0 mlrl_testbed-0.10.0-py3-none-any.whl

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Project: mlrl-testbed
Version: 0.10.0
Filename: mlrl_testbed-0.10.0-py3-none-any.whl
Download: [link]
Size: 57116
MD5: 837450df07d32e47378ee9ec46c97ea5
SHA256: 94e7230a292c0925378100c9f213eaaaa22fe6c6d2afbde06fdd73616cf07300
Uploaded: 2024-05-05 00:06:13 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt · zip-safe

METADATA

Metadata-Version: 2.1
Name: mlrl-testbed
Version: 0.10.0
Summary: Provides utilities for the training and evaluation of multi-label rule learning algorithms
Author: Michael Rapp
Author-Email: michael.rapp.ml[at]gmail.com
Home-Page: https://github.com/mrapp-ke/MLRL-Boomer
Download-Url: https://github.com/mrapp-ke/MLRL-Boomer/releases
Project-Url: Documentation, https://mlrl-boomer.readthedocs.io/en/latest
Project-Url: Issue Tracker, https://github.com/mrapp-ke/MLRL-Boomer/issues
License: MIT
Keywords: machine learning,scikit-learn,multi-label classification,rule learning,evaluation
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Platform: any
Requires-Python: >=3.9
Requires-Dist: mlrl-common (==0.10.0)
Requires-Dist: liac-arff (<2.6,>=2.5)
Requires-Dist: tabulate (<0.10,>=0.9)
Requires-Dist: mlrl-boomer (==0.10.0); extra == "boomer"
Requires-Dist: mlrl-seco (==0.10.0); extra == "seco"
Provides-Extra: boomer
Provides-Extra: seco
Description-Content-Type: text/markdown
[Description omitted; length: 4403 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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mlrl/testbed/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlrl/testbed/characteristics.py sha256=YAztk1D1qgKHL1vVs77nUlQDH0sfE2gSsUY0o-3q4PI 6799
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mlrl/testbed/info.py sha256=WtaO-tLQCZhmYhqoBpZNd9zUHWaPPCh6fV43Ne9rH9Y 715
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mlrl/testbed/label_vectors.py sha256=VoKetBqo4UFW4eSMbOliR82qAFry1e88zNBAVVCm6pA 7254
mlrl/testbed/main_boomer.py sha256=FkmAgp7gxNsWNOL2yMUbdyzRlwvmy6BfDtrXvixXun0 1418
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mlrl/testbed/prediction_characteristics.py sha256=85E5ugctUgQHg6HIf1HQmQSjRRxC2PET0rzHQPWJXic 2001
mlrl/testbed/prediction_scope.py sha256=vdTBsG7BIaf3rvFt6HUu_20NXD560oI1ZCYdXzDB1UA 2240
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mlrl_testbed-0.10.0.dist-info/RECORD — —

top_level.txt

mlrl

entry_points.txt

[console_scripts]
boomer = mlrl.testbed.main_boomer:main [BOOMER]
seco = mlrl.testbed.main_seco:main [SECO]

zip-safe