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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_*()
functionscoord_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.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.