aspect_importance       Calculates the feature groups importance
                        (called aspects importance) for a selected
                        observation
aspect_importance_single
                        Aspects importance for single aspects
champion_challenger     Compare machine learning models
create_env              Create your conda virtual env with DALEX
explain_h2o             Create explainer from your h2o model
explain_keras           Wrapper for Python Keras Models
explain_mlr             Create explainer from your mlr model
explain_mlr3            Create explainer from your mlr model
explain_scikitlearn     Wrapper for Python Scikit-Learn Models
funnel_measure          Caluculate difference in performance in models
                        across different categories
get_sample              Function for getting binary matrix
group_variables         Groups numeric features into aspects
model_info.WrappedModel
                        Exract info from model
overall_comparison      Compare champion with challengers globally
plot.aspect_importance
                        Function for plotting aspect_importance results
plot.funnel_measure     Funnel plot for difference in measures
plot.overall_comparison
                        Plot function for overall_comparison
plot.training_test_comparison
                        Plot and compare performance of model between
                        training and test set
plot_aspects_importance_grouping
                        Function plots tree with aspect importance
                        values
plot_group_variables    Plots tree with correlation values
print.funnel_measure    Print funnel_measure object
print.overall_comparison
                        Print overall_comparison object
print.scikitlearn_set   Prints scikitlearn_set class
print.training_test_comparison
                        Print funnel_measure object
training_test_comparison
                        Compare performance of model between training
                        and test set
triplot                 Three plots that sum up automatic aspect
                        importance grouping
yhat.WrappedModel       Wrapper over the predict function
