DALEX 0.4.4

DALEX 0.4.3

  • New support for scikit-learn models via scikitlearn_model()

DALEX 0.4.2

  • New yhat functions for mlr, h2o and caret packages (added by Szymon).

DALEX 0.4.1

DALEX 0.4.0

DALEX 0.3.1

  • updated filenames

DALEX 0.3

  • pdp, factorMerger and ALEPlot are going to Suggested. (#60). In next releases they will be deprecated.
  • added predict function that calls the predict_function hidden in the explainer object. (#58).

DALEX 0.2.9

  • the titanic dataset is copied from stablelearner package. Some features are transformed (some NA replaced with 0, more numeric features).

DALEX 0.2.8

DALEX 0.2.7

  • Test datasets are now named apartments_test and HR_test
  • For binary classification we return just a second column. NOTE: this may cause some unexpected problems with code dependend on defaults for DALEX 0.2.6.

DALEX 0.2.6

  • New versions of yhat for ranger and svm models.

DALEX 0.2.5

  • Residual distribution plots for model performance are now more legible when multiple models are plotted. The styling of plot and axis titles have also been improved (@kevinykuo).
  • 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 (@kevinykuo, #39). WARNING: Change in the default value of baseline.
  • New yhat.* functions help to handle additional parameters to different predict() functions.
  • Updated CITATION info

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