public class ARXLogisticRegressionConfiguration
extends java.lang.Object
implements java.io.Serializable
Modifier and Type | Class and Description |
---|---|
static class |
ARXLogisticRegressionConfiguration.PriorFunction
Prior function for regularization
|
public static ARXLogisticRegressionConfiguration create()
public double getAlpha()
public double getDecayExponent()
public double getLambda()
public double getLearningRate()
public int getMaxRecords()
public int getNumFolds()
public ARXLogisticRegressionConfiguration.PriorFunction getPriorFunction()
public int getSeed()
public int getStepOffset()
public int getVectorLength()
public boolean isDeterministic()
public ARXLogisticRegressionConfiguration setAlpha(double alpha)
alpha
- the alpha to setpublic ARXLogisticRegressionConfiguration setDecayExponent(double decayExponent)
decayExponent
- the decayExponent to setpublic ARXLogisticRegressionConfiguration setDeterministic(boolean deterministic)
deterministic
- public ARXLogisticRegressionConfiguration setLambda(double lambda)
lambda
- the lambda to setpublic ARXLogisticRegressionConfiguration setLearningRate(double learningRate)
learningRate
- the learningRate to setpublic ARXLogisticRegressionConfiguration setMaxRecords(int maxRecords)
maxRecords
- the maxRecords to setpublic ARXLogisticRegressionConfiguration setNumFolds(int numberOfFolds)
numberOfFolds
- the numberOfFolds to setpublic ARXLogisticRegressionConfiguration setPriorFunction(ARXLogisticRegressionConfiguration.PriorFunction priorFunction)
priorFunction
- the priorFunction to setpublic ARXLogisticRegressionConfiguration setSeed(int seed)
seed
- the seed to setpublic ARXLogisticRegressionConfiguration setStepOffset(int stepOffset)
stepOffset
- the stepOffset to setpublic ARXLogisticRegressionConfiguration setVectorLength(int vectorLength)
vectorLength
- the vectorLength to set