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metric-learn

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0.7.0 metric_learn-0.7.0-py2.py3-none-any.whl

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Project: metric-learn
Version: 0.7.0
Filename: metric_learn-0.7.0-py2.py3-none-any.whl
Download: [link]
Size: 67810
MD5: 367c527abef7408d58f6b83245aee198
SHA256: 193c218ca967289ab988d307fa18ead34fb0ef439774b06867ca526a05d766a8
Uploaded: 2023-10-09 04:53:59 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: metric-learn
Version: 0.7.0
Summary: Python implementations of metric learning algorithms
Author: ['CJ Carey', 'Yuan Tang', 'William de Vazelhes', 'Aurélien Bellet', 'Nathalie Vauquier']
Author-Email: ccarey[at]cs.umass.edu
Home-Page: http://github.com/scikit-learn-contrib/metric-learn
License: MIT
Keywords: Metric Learning,Large Margin Nearest Neighbor,Information Theoretic Metric Learning,Sparse Determinant Metric Learning,Least Squares Metric Learning,Neighborhood Components Analysis,Local Fisher Discriminant Analysis,Relative Components Analysis,Mahalanobis Metric for Clustering,Metric Learning for Kernel Regression
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Requires-Dist: numpy (>=1.11.0)
Requires-Dist: scipy (>=0.17.0)
Requires-Dist: scikit-learn (>=0.21.3)
Requires-Dist: matplotlib; extra == "demo"
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"
Requires-Dist: sphinx-gallery; extra == "docs"
Requires-Dist: matplotlib; extra == "docs"
Requires-Dist: skggm (>=0.2.9); extra == "sdml"
Provides-Extra: demo
Provides-Extra: docs
Provides-Extra: sdml
License-File: LICENSE.txt
[Description omitted; length: 3748 characters]

WHEEL

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RECORD

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metric_learn-0.7.0.dist-info/RECORD — —

top_level.txt

metric_learn