Nothing
score_auc()
DALEX::colors_discrete_drwhy
R v3.5
to comply with DALEX
plot()
function, to make it compatible with the paper auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics in The R Journal, arrow_size
to plot_pca
and increase the default width value to 2
show_rugs
to plot_residual_density
which allows to hide the rugs layerscore_auprc
which calculates the AUPRC measureplot_prc
which plots the Precision-Recall CurvestringsAsFactors=TRUE
when creating data.frame
in model_*()
functions coord_fixed
to plot_coord_fixed
predict_funcion
and residual_function
to audit
functionscore
parameter to type
in score()
functiondata
and cutoff
parameter to several score_x
functions.score_gini
, score_one_minus_gini
, and score_r2
functionsscore_acc
, score_f1
, score_precision
, score_recall
, score_specificity
,
score_one_minus_acc
, score_one_minus_auc
, score_one_minus_f1
, score_one_minus_precision
,
score_one_minus_specificity
, score_one_minus_recall
modelEvaluation()
return one consistent data frame.auditor
package was moved to new GitHub organization (ModelOriented).check_residuals()
function.auditor
package was moved to new GitHub organization (MI^2 DataLab).modelResiduals()
, modelEvaluation()
, modelFit()
, modelPerformance()
, observationInfluence()
.plotResidualBoxplot()
isFALSE()
is replaced by == FALSE
to make package compatible with R versions older than 3.5.Any scripts or data that you put into this service are public.
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