Class Regression.Builder
java.lang.Object
org.elasticsearch.client.ml.dataframe.Regression.Builder
- Enclosing class:
- Regression
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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)
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Method Details
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setLambda
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setGamma
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setEta
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setMaxTrees
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setFeatureBagFraction
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setNumTopFeatureImportanceValues
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setPredictionFieldName
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setTrainingPercent
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setRandomizeSeed
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setLossFunction
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setLossFunctionParameter
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setFeatureProcessors
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setAlpha
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setEtaGrowthRatePerTree
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setSoftTreeDepthLimit
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setSoftTreeDepthTolerance
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setDownsampleFactor
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setMaxOptimizationRoundsPerHyperparameter
public Regression.Builder setMaxOptimizationRoundsPerHyperparameter(Integer maxOptimizationRoundsPerHyperparameter) -
setEarlyStoppingEnabled
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build
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