API for mlr3measures
Performance Measures for 'mlr3'

Global functions
acc Man page Source code
acc_cm Source code
add_measure Source code
ae Source code
ape Source code
assert_binary Source code
assert_classif Source code
assert_regr Source code
auc Man page Source code
bacc Man page Source code
bias Man page Source code
binary_params Man page
ce Man page Source code
ce_cm Source code
cite_bib Source code
classif_params Man page
cm Source code
confusion_matrix Man page Source code
div Source code
dor Man page Source code
dor_cm Source code
fbeta Man page Source code
fbeta_cm Source code
fdr Man page Source code
fdr_cm Source code
fn Man page Source code
fn_cm Source code
fnr Man page Source code
fnr_cm Source code
fomr Man page Source code
fomr_cm Source code
format_range Source code
fp Man page Source code
fp_cm Source code
fpr Man page Source code
fpr_cm Source code
ktau Man page Source code
logloss Man page Source code
mae Man page Source code
mape Man page Source code
maxae Man page Source code
maxse Man page Source code
mcc Man page Source code
mcc_cm Source code
measures Man page
medae Man page Source code
medse Man page Source code
mlr3measures Man page
mlr3measures-package Man page
mse Man page Source code
msle Man page Source code
npv Man page Source code
npv_cm Source code
pbias Man page Source code
ppv Man page Source code
ppv_cm Source code
precision Man page
print.confusion_matrix Source code
rae Man page Source code
recall Man page
regr_params Man page
rmse Man page Source code
rmsle Man page Source code
rrse Man page Source code
rse Man page Source code
rsq Man page Source code
sae Man page Source code
se Source code
sensitivity Man page
sle Source code
smape Man page Source code
specificity Man page
srho Man page Source code
sse Man page Source code
tn Man page Source code
tn_cm Source code
tnr Man page Source code
tnr_cm Source code
tp Man page Source code
tp_cm Source code
tpr Man page Source code
tpr_cm Source code
mlr3measures documentation built on Nov. 5, 2019, 9:06 a.m.