RMOA (version 1.1.0)

MOA_classifier: Create a MOA classifier

Description

Create a MOA classifier

Usage

MOA_classifier(model, control = NULL, ...)

Value

An object of class MOA_classifier

Arguments

model

character string with a model. E.g. HoeffdingTree, DecisionStump, NaiveBayes, HoeffdingOptionTree, ... The list of known models can be obtained by typing RMOA:::.moaknownmodels. See the examples and MOAoptions.

control

an object of class MOAmodelOptions as obtained by calling MOAoptions

...

options of parameters passed on to MOAoptions, in case control is left to NULL. Ignored if control is supplied

See Also

MOAoptions

Examples

RMOA:::.moaknownmodels
ctrl <- MOAoptions(model = "HoeffdingTree", leafprediction = "MC", 
   removePoorAtts = TRUE, binarySplits = TRUE, tieThreshold = 0.20)
hdt <- MOA_classifier(model = "HoeffdingTree", control=ctrl)
hdt
hdt <- MOA_classifier(
 model = "HoeffdingTree", 
 numericEstimator = "GaussianNumericAttributeClassObserver")
hdt