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score_auc()DALEX::colors_discrete_drwhyR v3.5 to comply with DALEXplot() 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 2show_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_*() functionscoord_fixed to plot_coord_fixedpredict_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_recallmodelEvaluation() 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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.