MOA_classification_trees {RMOA} | R Documentation |
MOA classification trees
Description
MOA classification trees
Usage
AdaHoeffdingOptionTree(control = NULL, ...)
ASHoeffdingTree(control = NULL, ...)
DecisionStump(control = NULL, ...)
HoeffdingAdaptiveTree(control = NULL, ...)
HoeffdingOptionTree(control = NULL, ...)
HoeffdingTree(control = NULL, ...)
LimAttHoeffdingTree(control = NULL, ...)
RandomHoeffdingTree(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 = "HoeffdingTree", leafprediction = "MC",
removePoorAtts = TRUE, binarySplits = TRUE, tieThreshold = 0.20)
hdt <- HoeffdingTree(control=ctrl)
hdt
hdt <- HoeffdingTree(numericEstimator = "GaussianNumericAttributeClassObserver")
hdt
[Package RMOA version 1.1.0 Index]