iBreakDownare added to additional features (#72).
variable_response()are marked as Deprecated. It is suggested to use
variable_importance()is marked as Deprecated. It is suggested to use
prediction_breakdown()is marked as Deprecated. It is suggested to use
titanicdataset is copied from
stablelearnerpackage. Some features are transformed (some
0, more numeric features).
DALEXis being prepared for tighter integration with
bar_widthwith widths of bars and
show_baselineif baseline shall be included in these plots.
single_prediction()are now consistent with
0by default instead of
"Intercept". The user can also specify the
baselineand other arguments by passing them to
single_prediction(@kevinykuo, #39). WARNING: Change in the default value of
yhat.*functions help to handle additional parameters to different
HRTest. Target variable is a factor with three levels. Is used in examples for classification.
show_outliersparameter. Set it to anything >0 and observations with largest residuals will be presented in the plot. (#34)
variable_response()to better support of
single_variable() / variable_response()function uses
prediction_breakdown(). Old names are now deprecated but still working. (#12)
apartments- will be used in examples
variable_importance()allows work on full dataset if
plot_model_performance()uses ecdf or boxplots (depending on
single_variable()supports factor variables as well (with the use of
factorMergerpackage). Remember to use
type='factor'when playing with factors. (#10)
explain(). Old version has an argument
predict.function, now it’s
predict_function. New name is more consistent with other arguments. (#7)