DALEX 0.2.5

  • The defaults of single_prediction() are now consistent with breakDown::broken(). Specifically, baseline is now 0 by default instead of "Intercept". The user can also specify the baseline and other arguments by passing them to single_prediction. (#39) WARNING: Change in the default value of baseline.
  • New yhat.* functions help to handle additional parameters to different predict() functions.

DALEX 0.2.4

  • New dataset HR and HRTest. Target variable is a factor with three levels. Is used in examples for classification.
  • The plot.model_performance() has now show_outliers parameter. Set it to anything >0 and observations with largest residuals will be presented in the plot. (#34)

DALEX 0.2.3

  • Small fixes in variable_response() to better support of gbm models (c8393120ffb05e2f3c70b0143c4e92dc91f6c823).
  • Better title for plot_model_performance() (e5e61d0398459b78ea38ccc980c4040fd853f449).
  • Tested with breakDown v 0.1.6.

DALEX 0.2.2

  • The single_variable() / variable_response() function uses predict_function from explainer (#17)

DALEX 0.2.1

DALEX 0.2.0

DALEX 0.1.8

  • Function single_variable() supports factor variables as well (with the use of factorMerger package). Remember to use type='factor' when playing with factors. (#10)
  • Change in the function explain(). Old version has an argument predict.function, now it’s predict_function. New name is more consistent with other arguments. (#7)
  • New vigniette for xgboost model (#11)

DALEX 0.1.1

DALEX 0.1