Scikit-Optimize Files

Sequential model-based optimization with a `scipy.optimize` interface

This is an exact mirror of the Scikit-Optimize project, hosted at https://github.com/scikit-optimize/scikit-optimize. SourceForge is not affiliated with Scikit-Optimize. For more information, see the SourceForge Open Source Mirror Directory.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2020-09-04	195 Bytes	0
v0.8.1 source code.tar.gz	2020-09-04	387.5 kB	1
v0.8.1 source code.zip	2020-09-04	467.4 kB	0
Totals: 3 Items		855.0 kB	1

GaussianProcessRegressor from sklearn >= 0.23 normalizes the variance to 1, which needs to be taken into account. This release handles this and returns the same results as on sklearn <= 0.23

Source: README.md, updated 2020-09-04

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Scikit-Optimize Files

Sequential model-based optimization with a `scipy.optimize` interface

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