API for utiml
Utilities for Multi-Label Learning

Global functions
+.mlconfmat Man page
.onLoad Source code
[.mlresult Man page
as.bipartition Man page Source code
as.matrix.mlconfmat Man page
as.matrix.mlresult Man page Source code
as.mlresult Man page Source code
as.mlresult.default Man page
as.mlresult.mlresult Man page
as.probability Man page Source code
as.ranking Man page
baseline Man page
br Man page Source code
brplus Man page Source code
cc Man page Source code
clr Man page Source code
compute_multilabel_predictions Man page Source code
create_holdout_partition Man page
create_kfold_partition Man page
create_random_subset Man page Source code
create_subset Man page Source code
ctrl Man page Source code
cv Man page Source code
dbr Man page Source code
ebr Man page Source code
ecc Man page Source code
eps Man page
esl Man page Source code
fill_sparse_mldata Man page Source code
fixed_threshold Man page
fixed_threshold.default Man page Source code
fixed_threshold.mlresult Man page
foodtruck Man page
homer Man page
is.bipartition Man page Source code
is.probability Man page Source code
lcard_threshold Man page
lcard_threshold.default Man page
lcard_threshold.mlresult Man page
lift Man page Source code
lp Man page
mbr Man page Source code
mcut_threshold Man page
mcut_threshold.default Man page
mcut_threshold.mlresult Man page
merge_mlconfmat Man page
mldata Man page
mlknn Man page Source code
mlpredict Man page Source code
mlpredict.C5.0 Source code
mlpredict.J48 Source code
mlpredict.SMO Source code
mlpredict.baseKNN Source code
mlpredict.default Source code
mlpredict.majorityModel Source code
mlpredict.naiveBayes Source code
mlpredict.randomForest Source code
mlpredict.randomModel Source code
mlpredict.rpart Source code
mlpredict.svm Source code
mlpredict.xgb.Booster Source code
mltrain Man page Source code
mltrain.baseC5.0 Source code
mltrain.baseCART Source code
mltrain.baseJ48 Source code
mltrain.baseKNN Source code
mltrain.baseMAJORITY Source code
mltrain.baseNB Source code
mltrain.baseRANDOM Source code
mltrain.baseRF Source code
mltrain.baseSMO Source code
mltrain.baseSVM Source code
mltrain.baseXGB Source code
mltrain.default Source code
multilabel_confusion_matrix Man page
multilabel_evaluate Man page Source code
multilabel_evaluate.mlconfmat Man page
multilabel_evaluate.mldr Man page
multilabel_measures Man page
multilabel_prediction Man page Source code
normalize_mldata Man page Source code
ns Man page Source code
partition_fold Man page Source code
pcut_threshold Man page
pcut_threshold.default Man page
pcut_threshold.mlresult Man page
ppt Man page
predict.BASELINEmodel Man page
predict.BRPmodel Man page Source code
predict.BRmodel Man page Source code
predict.CCmodel Man page Source code
predict.CLRmodel Man page Source code
predict.CTRLmodel Man page Source code
predict.DBRmodel Man page Source code
predict.EBRmodel Man page Source code
predict.ECCmodel Man page Source code
predict.EPSmodel Man page Source code
predict.ESLmodel Man page Source code
predict.HOMERmodel Man page
predict.LIFTmodel Man page Source code
predict.LPmodel Man page Source code
predict.MBRmodel Man page Source code
predict.MLKNNmodel Man page Source code
predict.NSmodel Man page Source code
predict.PPTmodel Man page Source code
predict.PSmodel Man page Source code
predict.PruDentmodel Man page Source code
predict.RAkELmodel Man page Source code
predict.RDBRmodel Man page Source code
predict.RPCmodel Man page Source code
predictLabelHierarchy Source code
print.BRPmodel Man page Source code
print.BRmodel Man page Source code
print.CCmodel Man page Source code
print.CLRmodel Man page Source code
print.CTRLmodel Man page Source code
print.DBRmodel Man page Source code
print.EBRmodel Man page Source code
print.ECCmodel Man page Source code
print.EPSmodel Man page Source code
print.ESLmodel Man page Source code
print.LIFTmodel Man page Source code
print.LPmodel Man page Source code
print.MBRmodel Man page Source code
print.MLKNNmodel Man page Source code
print.NSmodel Man page Source code
print.PPTmodel Man page Source code
print.PSmodel Man page Source code
print.PruDentmodel Man page Source code
print.RAkELmodel Man page Source code
print.RDBRmodel Man page Source code
print.RPCmodel Man page Source code
print.kFoldPartition Man page
print.majorityModel Man page
print.mlconfmat Man page
print.mlresult Man page Source code
print.randomModel Man page
prudent Man page Source code
ps Man page
rakel Man page
rcut_threshold Man page
rcut_threshold.default Man page
rcut_threshold.mlresult Man page
rdbr Man page Source code
remove_attributes Man page
remove_labels Man page
remove_skewness_labels Man page Source code
remove_unique_attributes Man page Source code
remove_unlabeled_instances Man page Source code
rep_nom_attr Source code
replace_nominal_attributes Man page Source code
rpc Man page Source code
scut_threshold Man page
scut_threshold.default Man page
scut_threshold.mlresult Man page
subset_correction Man page Source code
summary.mltransformation Man page Source code
toyml Man page
utiml Man page
utiml_binary_prediction Source code
utiml_create_model Source code
utiml_ensemble_method Source code
utiml_euclidean_distance Source code
utiml_ifelse Source code
utiml_iterative_split Source code
utiml_labels_correlation Source code
utiml_lapply Source code
utiml_measure_clp Source code
utiml_measure_mlp Source code
utiml_measure_wlp Source code
utiml_newdata Source code
utiml_newdata.default Source code
utiml_newdata.mldr Source code
utiml_normalize Source code
utiml_predict_binary_ensemble Source code
utiml_predict_binary_model Source code
utiml_predict_ensemble Source code
utiml_prepare_data Source code
utiml_random_split Source code
utiml_stratified_split Source code
utiml documentation built on Feb. 7, 2020, 9:07 a.m.