0.10.4

pplonski released this 08 Jun 11:55

· 296 commits to master since this release

Enhancements

#81 add scatter plot predicted vs target in regression
#158 add ROC curve for binary classification
#336 add visualization for Optuna results
#352 add support for Colab
#374 update seaborn
#378 set golden features number
#379 switch off boost_on_errors step in Optuna mode
#380 add custom cross validation strategy
#386 add correlation heatmap
#387 add residual plot
#389 add feature importance heatmap
#390 add custom eval metric
#393 update sklearn

Bug fixes

#308 fix error in kaggle kernel
#353, #355, #366, #368, #376, #382, #383, #384 fixes

Docs

#391 add info about hyperparameters optimization methods

Big thank you for help for: @ecoskian, @xuzhang5788, @xiaobo, @RafaD5, @drorhilman, @strelzoff-erdc, @muxuezi, @tresoldi THANK YOU !!!

Assets 2