API for schalkdaniel/compboost
Efficient Component-Wise Boosting Implementation

Global functions
.onLoad Source code
BaselearnerCategoricalBinary Man page
BaselearnerCategoricalRidge Man page
BaselearnerCentered Man page
BaselearnerCustom Man page
BaselearnerPSpline Man page
BaselearnerPolynomial Man page
BaselearnerTensor Man page
BlearnerFactoryList Man page
CategoricalDataRaw Man page
Compboost Man page
Compboost_internal Man page
InMemoryData Man page
LearnerClassifCompboost Man page
LearnerCompboost Man page
LearnerRegrCompboost Man page
LoggerInbagRisk Man page
LoggerIteration Man page
LoggerList Man page
LoggerOobRisk Man page
LoggerTime Man page
LossAbsolute Man page
LossBinomial Man page
LossCustom Man page
LossHuber Man page
LossQuadratic Man page
LossQuantile Man page
OptimizerAGBM Man page
OptimizerCoordinateDescent Man page
OptimizerCoordinateDescentLineSearch Man page
OptimizerCosineAnnealing Man page
ResponseBinaryClassif Man page
ResponseRegr Man page
assertRcppClass Source code
boostComponents Man page Source code
boostLinear Man page Source code
boostSplines Man page Source code
catchInternalException Source code
checkModelPlotAvailability Source code
cleanList Source code
dummy_import Source code
extractBaselearnerFactory Source code
extractData Source code
extractLoss Source code
extractOptimizer Source code
extractResponse Source code
getBaselearnerFeatureType Source code
getCustomCppExample Man page
glueLoss Source code
ichecker Source code
isRcppClass Source code
lchecker Source code
ochecker Source code
plotBaselearner Man page Source code
plotBaselearnerTraces Man page Source code
plotFeatureImportance Man page Source code
plotIndividualContribution Man page Source code
plotPEUni Man page Source code
plotRisk Man page Source code
plotTensor Man page Source code
plotTensorCatCat Source code
plotTensorNumCat Source code
plotTensorNumNum Source code
predict.compboostExtract Source code
tagIndex Source code
vectorToResponse Source code
schalkdaniel/compboost documentation built on April 15, 2023, 9:03 p.m.