MOAoptions: Get and set options for models build with MOA.

In RMOA: Connect R with MOA for Massive Online Analysis

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 MOA_model. E.g. HoeffdingTree, DecisionStump, NaiveBayes, HoeffdingOptionTree, ... The list of known models can be obtained by typing RMOA:::.moaknownmodels. See the examples.
...	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:

1. model: The name of the model

2. moamodelname: The purpose of the model known by MOA (getPurposeString)

3. javaObj: a java reference of MOA options

4. options: a list with options of the MOA model. Each list element contains the Name of the option, the Purpose of the option and the current Value

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")

RMOA documentation built on July 18, 2022, 1:05 a.m.