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causalmodels

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0.4.0

causalmodels-0.4.0-py3-none-any.whl

Wheel Details

Project:	causalmodels
Version:	0.4.0
Filename:	causalmodels-0.4.0-py3-none-any.whl
Download:	[link]
Size:	6734
MD5:	`a41567e00261134e553feaa2f95d7f09`
SHA256:	`41744c7ff2b91b9272333ee44fe00257fb35d714c03986439e9f6ea20ba1f7c4`
Uploaded:	2016-07-20 00:19:45 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.0
Name:	causalmodels
Version:	0.4.0
Summary:	Causal models in Python
Author:	roronya
Author-Email:	roronya628[at]gmail.com
Home-Page:	http://github.com/roronya/causalmodels
License:	MIT
Keywords:	causality machine learning causalmodels
Classifier:	Development Status :: 4 - Beta
Classifier:	Intended Audience :: Science/Research
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Programming Language :: Python :: 3
Classifier:	Topic :: Scientific/Engineering :: Mathematics
Requires-Dist:	graphviz
Requires-Dist:	numpy
Requires-Dist:	scikit-learn
Requires-Dist:	scipy
Requires-Dist:	tqdm

[Description omitted; length: 554 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.26.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
causalmodels/__init__.py	sha256=sR9NshmmwwUD37bSUnfu6baNX-eW0gzzsqmpoTSYZiU	121
causalmodels/exception.py	sha256=9YtAVxPvKV0nbjETH0ETLDz3ySojl4u0hJ0jYCR_okU	72
causalmodels/interface.py	sha256=SpY4FJ7PrZDyGIMhcKsnD5r0YkvYSNrQ7BZ2vgil_Ok	327
causalmodels/lingam.py	sha256=HAuV6A3cS_LttLa2ej8OV1lu6kPuP_lEE1fVfSK00GI	5900
causalmodels/result.py	sha256=RjkEkqx1-tM5HKa7jZvxFwzJMCSMfVKHKSlXbTwkGVQ	5801
causalmodels-0.4.0.dist-info/DESCRIPTION.rst	sha256=AHF7mc4U_1oM5KMtrRdjjK_tMeUCF2HL_QKqp2AWPYo	554
causalmodels-0.4.0.dist-info/METADATA	sha256=RnSq38uVNSKDwmuwt3cuCZnj2Zvjs5mz3KpZwJfQu1k	1191
causalmodels-0.4.0.dist-info/RECORD	—	—
causalmodels-0.4.0.dist-info/WHEEL	sha256=zX7PHtH_7K-lEzyK75et0UBa3Bj8egCBMXe1M4gc6SU	92
causalmodels-0.4.0.dist-info/metadata.json	sha256=JlsdRDUPs8EUKQNz5NnmVO2n_ja06f2TpV1QjJGpaMo	799
causalmodels-0.4.0.dist-info/top_level.txt	sha256=So5KdGs-bChM1itbswJ1sSIYyelNPgJgVWe1-BWUPEQ	13

top_level.txt

causalmodels