Version 0.8.1#

September 2020

Fix GaussianProcessRegressor on sklearn 0.23 normalizes the variance to 1, which needs to reverted on predict.

Version 0.8.0#

September 2020

`skopt.Optimizer`#

Enhancement n_jobs support was added to Optimizer and fixed for forest_minimize by Holger Nahrstaedt by JPN

`skopt.plots`#

Enhancement Allow dimension selection for plot_objective and plot_evaluations and add plot_histogram and plot_objective_2D. Plot code has been refactored. by Holger Nahrstaedt by Hvass-Labs

`skopt.sampler`#

Major Feature Initial sampling generation from latin hypercube, sobol, hammersly and halton is possible and can be set in all optimizers Holger Nahrstaedt
Enhancement Improve sampler and add grid sampler by Holger Nahrstaedt

`skopt.searchcv`#

Fix 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. by Lucas Plagwitz

`skopt.space`#

Fix Fix Integer transform and inverse_transform for normalize by Holger Nahrstaedt
Enhancement Add is_constant property to dimension and n_constant_dimensions property to Space by Holger Nahrstaedt
Enhancement Skip constant dimensions for plot_objective and plot_evaluations to allow plots using BayesSearchCV by Holger Nahrstaedt

`skopt.utils`#

Fix Fix Optimizer for full categorical spaces by Holger Nahrstaedt

Miscellaneous#

Improve circle ci by Holger Nahrstaedt
Add project toml and adapt minimal numpy, scipy, pyyaml and joblib version in setup.py by Holger Nahrstaedt