MOA_classification_ensemblelearning {RMOA} | R Documentation |
MOA classification using ensembles
Description
MOA classification using ensembles (bagging/boosting/stacking/other)
Usage
AccuracyUpdatedEnsemble(control = NULL, ...)
AccuracyWeightedEnsemble(control = NULL, ...)
ADACC(control = NULL, ...)
DACC(control = NULL, ...)
LeveragingBag(control = NULL, ...)
LimAttClassifier(control = NULL, ...)
OCBoost(control = NULL, ...)
OnlineAccuracyUpdatedEnsemble(control = NULL, ...)
OzaBag(control = NULL, ...)
OzaBagAdwin(control = NULL, ...)
OzaBagASHT(control = NULL, ...)
OzaBoost(control = NULL, ...)
OzaBoostAdwin(control = NULL, ...)
TemporallyAugmentedClassifier(control = NULL, ...)
WeightedMajorityAlgorithm(control = NULL, ...)
Arguments
control |
an object of class |
... |
options of parameters passed on to |
Value
An object of class MOA_classifier
which sets up an untrained MOA model,
which can be trained using trainMOA
See Also
Examples
ctrl <- MOAoptions(model = "OzaBoostAdwin")
mymodel <- OzaBoostAdwin(control=ctrl)
mymodel
[Package RMOA version 1.1.0 Index]