Scikit-Optimize Files

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

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2020-09-03	1.0 kB	0
v0.8.0 source code.tar.gz	2020-09-03	387.4 kB	0
v0.8.0 source code.zip	2020-09-03	467.2 kB	0
Totals: 3 Items		855.6 kB	0

n_jobs support was added to Optimizer and fixed for forest_minimize [#884]
Allow dimension selection for plot_objective and plot_evaluations and add plot_histogram and plot_objective_2D. Plot code has been refactored. [#848]
Initial sampling generation from latin hypercube, sobol, hammersly and halton is possible and can be set in all optimizers [#835]
Improve sampler and add grid sampler [#851]
Fix library for scikit-learn >= 0.23. numpy MaskArray is replaced by numpy.ma.array. y_normalize=False has been added and initial runs has been increased. [#939]
Integer transform and inverse_transform for normalize [#880]
Add is_constant property to dimension and n_constant_dimensions property to Space [#883]
Skip constant dimensions for plot_objective and plot_evaluations to allow plots using BayesSearchCV [#888]
Fix Fix Optimizer for full categorical spaces [#874]
Improve circle ci [#852]
Add project toml and adapt minimal numpy, scipy, pyyaml and joblib version in setup.py [#850]

Source: README.md, updated 2020-09-03

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