dsbox-corex

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1.2.0 dsbox_corex-1.2.0-py3-none-any.whl

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Project: dsbox-corex
Version: 1.2.0
Filename: dsbox_corex-1.2.0-py3-none-any.whl
Download: [link]
Size: 79185
MD5: f300dd703e0b1803e6f75f5b335cb65e
SHA256: e142296da041e311f926e3af66cb3da1b07e02e2848f1357917829b3e2fe4137
Uploaded: 2022-03-21 14:29:42 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: dsbox-corex
Version: 1.2.0
Summary: Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data.
Author: Rob Brekelmans/Greg Ver Steeg
Author-Email: brekelma[at]usc.edu
Home-Page: https://gitlab.com/datadrivendiscovery/contrib/dsbox-corex
License: Apache-2.0
Keywords: d3m_primitive
Classifier: Programming Language :: Python :: 3
Requires-Dist: GitPython
Requires-Dist: d3m
Requires-Dist: d3m-common-primitives
Requires-Dist: keras
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: six
Requires-Dist: tensorflow
Description-Content-Type: text/markdown
[Description omitted; length: 405 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

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dsbox_corex-1.2.0.dist-info/RECORD

top_level.txt

dsbox_corex

entry_points.txt

feature_construction.corex_continuous.DSBOX = dsbox_corex.corex_continuous:CorexContinuous
feature_construction.corex_text.DSBOX = dsbox_corex.corex_text:CorexText
feature_construction.echo_ib.DSBOX = dsbox_corex.echo_ib:EchoIB
regression.echo_linear.DSBOX = dsbox_corex.echo_regressor:EchoLinearRegression