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bayesopt

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0.3	bayesopt-0.3-cp27-cp27m-win32.whl

Wheel Details

Project:	bayesopt
Version:	0.3
Filename:	bayesopt-0.3-cp27-cp27m-win32.whl
Download:	[link]
Size:	421278
MD5:	`01cf4e67c4eef8390beff309360c935c`
SHA256:	`9d35e341d7145a29590a51c895ee889399fd8c9d62b39acebdf73b8df6caea9f`
Uploaded:	2017-06-30 20:51:16 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.0
Name:	bayesopt
Version:	0.3
Summary:	BayesOpt is an efficient implementation of the Bayesian optimization methodology for nonlinear optimization, experimental design and hyperparameter tuning
Author:	Ruben Martinez-Cantin
Author-Email:	rmcantin[at]unizar.es
Home-Page:	https://github.com/rmcantin/bayesopt
License:	AGPL>=3.0

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.29.0)
Root-Is-Purelib:	false
Tag:	cp27-cp27m-win32

RECORD

Path	Digest	Size
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bayesopt-0.3.data/data/LICENSE	sha256=V8j_M8nAz8PvAOZQocyRDX7keai8UJ9skgmnwqETmdY	34520
bayesopt-0.3.dist-info/DESCRIPTION.rst	sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego	10
bayesopt-0.3.dist-info/METADATA	sha256=na76B5KvyqwDgpkZ4gZnwu-CW50jbd2t9g033E5ZmYY	386
bayesopt-0.3.dist-info/RECORD	—	—
bayesopt-0.3.dist-info/WHEEL	sha256=DJKIF4fXYhO5FvKr47vMFPnA882v1seiq13SS1FTbM4	102
bayesopt-0.3.dist-info/metadata.json	sha256=kpuJSJ6V3ghKHbbGUVwl_AUxAUJ5-2SY3gNGA7orMkU	549
bayesopt-0.3.dist-info/top_level.txt	sha256=W0pGFl1o8m9151JpRxei3hma8DMBNaDSvIocRRLgYcs	9

top_level.txt

bayesopt