Skip to main content
`Ctrl`+`K`

# 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