MOAoptions {RMOA} | R Documentation |
Get and set options for models build with MOA.
Description
Get and set options for models build with MOA.
Usage
MOAoptions(model, ...)
Arguments
model |
character string with a model or an object of class |
... |
other parameters specifying the MOA modelling options of each model. See the examples. |
Value
An object of class MOAmodelOptions
.
This is a list with elements:
model: The name of the model
moamodelname: The purpose of the model known by MOA (getPurposeString)
javaObj: a java reference of MOA options
options: a list with options of the MOA model. Each list element contains the
Name
of the option, thePurpose
of the option and the currentValue
See the examples.
Examples
control <- MOAoptions(model = "HoeffdingTree")
control
MOAoptions(model = "HoeffdingTree", leafprediction = "MC",
removePoorAtts = TRUE, binarySplits = TRUE, tieThreshold = 0.20)
## Other models known by RMOA
RMOA:::.moaknownmodels
## Classification Trees
MOAoptions(model = "AdaHoeffdingOptionTree")
MOAoptions(model = "ASHoeffdingTree")
MOAoptions(model = "DecisionStump")
MOAoptions(model = "HoeffdingAdaptiveTree")
MOAoptions(model = "HoeffdingOptionTree")
MOAoptions(model = "HoeffdingTree")
MOAoptions(model = "LimAttHoeffdingTree")
MOAoptions(model = "RandomHoeffdingTree")
## Classification using Bayes rule
MOAoptions(model = "NaiveBayes")
MOAoptions(model = "NaiveBayesMultinomial")
## Classification using Active learning
MOAoptions(model = "ActiveClassifier")
## Classification using Ensemble learning
MOAoptions(model = "AccuracyUpdatedEnsemble")
MOAoptions(model = "AccuracyWeightedEnsemble")
MOAoptions(model = "ADACC")
MOAoptions(model = "DACC")
MOAoptions(model = "LeveragingBag")
MOAoptions(model = "OCBoost")
MOAoptions(model = "OnlineAccuracyUpdatedEnsemble")
MOAoptions(model = "OzaBag")
MOAoptions(model = "OzaBagAdwin")
MOAoptions(model = "OzaBagASHT")
MOAoptions(model = "OzaBoost")
MOAoptions(model = "OzaBoostAdwin")
MOAoptions(model = "TemporallyAugmentedClassifier")
MOAoptions(model = "WeightedMajorityAlgorithm")
## Regressions
MOAoptions(model = "AMRulesRegressor")
MOAoptions(model = "FadingTargetMean")
MOAoptions(model = "FIMTDD")
MOAoptions(model = "ORTO")
MOAoptions(model = "Perceptron")
MOAoptions(model = "SGD")
MOAoptions(model = "TargetMean")
## Recommendation engines
MOAoptions(model = "BRISMFPredictor")
MOAoptions(model = "BaselinePredictor")
[Package RMOA version 1.1.0 Index]