Class Regression.Builder
java.lang.Object
org.elasticsearch.client.ml.dataframe.Regression.Builder
- Enclosing class:
- Regression
-
Method Summary
Modifier and TypeMethodDescriptionbuild()setDownsampleFactor(Double downsampleFactor) setEarlyStoppingEnabled(Boolean earlyStoppingEnabled) setEtaGrowthRatePerTree(Double etaGrowthRatePerTree) setFeatureBagFraction(Double featureBagFraction) setFeatureProcessors(List<PreProcessor> featureProcessors) setLossFunction(Regression.LossFunction lossFunction) setLossFunctionParameter(Double lossFunctionParameter) setMaxOptimizationRoundsPerHyperparameter(Integer maxOptimizationRoundsPerHyperparameter) setMaxTrees(Integer maxTrees) setNumTopFeatureImportanceValues(Integer numTopFeatureImportanceValues) setPredictionFieldName(String predictionFieldName) setRandomizeSeed(Long randomizeSeed) setSoftTreeDepthLimit(Double softTreeDepthLimit) setSoftTreeDepthTolerance(Double softTreeDepthTolerance) setTrainingPercent(Double trainingPercent)
-
Method Details
-
setLambda
-
setGamma
-
setEta
-
setMaxTrees
-
setFeatureBagFraction
-
setNumTopFeatureImportanceValues
-
setPredictionFieldName
-
setTrainingPercent
-
setRandomizeSeed
-
setLossFunction
-
setLossFunctionParameter
-
setFeatureProcessors
-
setAlpha
-
setEtaGrowthRatePerTree
-
setSoftTreeDepthLimit
-
setSoftTreeDepthTolerance
-
setDownsampleFactor
-
setMaxOptimizationRoundsPerHyperparameter
public Regression.Builder setMaxOptimizationRoundsPerHyperparameter(Integer maxOptimizationRoundsPerHyperparameter) -
setEarlyStoppingEnabled
-
build
-