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metaheuristic

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1.3	metaheuristic-1.3-py2.py3-none-any.whl

Wheel Details

Project:	metaheuristic
Version:	1.3
Filename:	metaheuristic-1.3-py2.py3-none-any.whl
Download:	[link]
Size:	25560
MD5:	`2f970bccf492787a622969813f7a8421`
SHA256:	`22c4720bf1958861e3011b0bf0715fa646416901959d97cd13c0f5dcd78008d2`
Uploaded:	2017-09-10 02:48:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.0
Name:	metaheuristic
Version:	1.3
Summary:	A package with some metaheuristics to feature selection
Author:	Juliano D. Negri
Author-Email:	julianonegri[at]gmail.com
Home-Page:	https://github.com/gonzalesMK/MetaHeuristic
Classifier:	Programming Language :: Python :: 3.6
Classifier:	Development Status :: 3 - Alpha
Classifier:	Intended Audience :: Science/Research
Classifier:	Topic :: Scientific/Engineering :: Information Analysis
Classifier:	Topic :: Software Development :: Libraries
Requires-Dist:	DEAP (>=1.0)
Requires-Dist:	matplotlib (<=2.0.2,>=1.5.2)
Requires-Dist:	nose (>=1.1.2)
Requires-Dist:	numpydoc (>=0.5)
Requires-Dist:	scikit-learn (>=0.17)
Requires-Dist:	scipy (>=0.19)
Requires-Dist:	sphinx-gallery (>=0.1.11)

[Description omitted; length: 63 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.29.0)
Root-Is-Purelib:	true
Tag:	py2-none-any
Tag:	py3-none-any

RECORD

Path	Digest	Size
feature_selection/__init__.py	sha256=CS4NMYwhBshbBfSfVdG1FLOYgOvieoKvKOWPc7m4z3o	401
feature_selection/base.py	sha256=dZQUjZ6g8Qul9ylEvG6F6D13_-H4Ol9heQv5nmq3pLY	10413
feature_selection/binary_black_hole.py	sha256=xwHgskEM5_YiGAHzbiBVZZv7IVeQwWwXBGGctLqWYN8	6518
feature_selection/genetic_algorithm.py	sha256=6APlGXaCIGhHR9rYo3MEoG4d9mqECTBNkx0uHv6Wfqo	8219
feature_selection/harmonic_search.py	sha256=pc7HCE5jckpfTSjq5CVn1_wajIey_jmqRfTlGVdaZOM	8343
feature_selection/metaheuristics.py	sha256=D4lVKYaSVCmFYGs_6_7r8IxcGs7GQ1UW14hPgd7VzKc	22617
feature_selection/random_search.py	sha256=yrd7u6c_u7WFzPrYlxiaWWjbtUxzOGbFFMl26_CzmEg	5629
feature_selection/simulated_anneling.py	sha256=5tNDvlwySMh99DpmiiTCDd62eF0e11hCXdy7j9FBSis	7659
feature_selection/tests/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
feature_selection/tests/check_test.py	sha256=FrkUXzma92JYlzaj_x2MIQnXP03TkAhxEjaNasTeHwM	5450
feature_selection/tests/just_kiiding.py	sha256=w1JJN9KjB6dL4lW1nLbQvz3xG4yrzFfYb6_4gCJ2X9w	1105
feature_selection/tests/plot_ga_hs.py	sha256=hWVzyejbmtOkHaqFz-WsdnSNASTQmHByHAMMn4Sli8E	1413
feature_selection/tests/utils.py	sha256=sp_4ahHwvt71k_qPZZVsznWNxKgNYRpzR3gT_dckxvg	1378
metaheuristic-1.3.dist-info/DESCRIPTION.rst	sha256=eU1JBxEpso3yKDQScYlWT2HPcFLLtorcLFp-WQRaP0Q	63
metaheuristic-1.3.dist-info/METADATA	sha256=ydW7l7RGJT08m4_1JX78uD7bhFzgcDf-5li6KYr7_x0	845
metaheuristic-1.3.dist-info/RECORD	—	—
metaheuristic-1.3.dist-info/WHEEL	sha256=9Z5Xm-eel1bTS7e6ogYiKz0zmPEqDwIypurdHN1hR40	116
metaheuristic-1.3.dist-info/metadata.json	sha256=o6WrMGQSowpgnc_D_XXDsjMQgmUyvIoQjiAmTcBeRVk	882
metaheuristic-1.3.dist-info/top_level.txt	sha256=4BVUNG3VTLSQIFEnitvWZvkWIG7Fq8AJr_Q54CCCFCQ	18

top_level.txt

feature_selection