---------------------------------------------------------------- * Examples updated. Now they use only datasets available from DALEX. * yhat.H2ORegressionModel and yhat.H2OBinomialModel moved to ([DALEXtra](https://github.com/ModelOriented/DALEXtra)) and merged into explain_h2o() function. * yhat.WrappedModelmoved to ([DALEXtra](https://github.com/ModelOriented/DALEXtra)) and merged as explain_mlr() function. * Wrapper for scikit-learn models restored in ([DALEXtra](https://github.com/ModelOriented/DALEXtra)) package. * loss_one_minus_auc function added to loss_functions.R. It uses 1-auc to compute loss. Function created by Alicja Gosiewska. * Extension for DALEX avaiable at ([DALEXtra](https://github.com/ModelOriented/DALEXtra))
0.4.5
---------------------------------------------------------------- * the `explain()` function is more verbose. With `verbose = TRUE` (default) it prints detailed information about elements of an explainer ([95](https://github.com/pbiecek/DALEX/issues/95)).
0.4.4
---------------------------------------------------------------- * new color schemes: `colors_breakdown_drwhy()`, `colors_discrete_drwhy()` and `colors_diverging_drwhy()`. * in this version the `scikitlearn_model()` is removed as it is not working with python 2.7
0.4.3
---------------------------------------------------------------- * New support for scikit-learn models via `scikitlearn_model()`
0.4.2
---------------------------------------------------------------- * New `yhat` functions for `mlr`, `h2o` and `caret` packages (added by Szymon).
0.4.1
---------------------------------------------------------------- * `plot.variable_importance_explainer()` has now `desc_sorting` argument. If FALSE then variable importance will be sorted in an increasing order ([41](https://github.com/pbiecek/DALEX/issues/41)).