Class DataframeAnalysisRegression.Builder
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase.AbstractBuilder<DataframeAnalysisRegression.Builder>
co.elastic.clients.elasticsearch.ml.DataframeAnalysisRegression.Builder
- All Implemented Interfaces:
ObjectBuilder<DataframeAnalysisRegression>
- Enclosing class:
- DataframeAnalysisRegression
public static class DataframeAnalysisRegression.Builder extends DataframeAnalysisBase.AbstractBuilder<DataframeAnalysisRegression.Builder> implements ObjectBuilder<DataframeAnalysisRegression>
Builder for
DataframeAnalysisRegression
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Constructor Summary
Constructors Constructor Description Builder()
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Method Summary
Modifier and Type Method Description DataframeAnalysisRegression
build()
Builds aDataframeAnalysisRegression
.DataframeAnalysisRegression.Builder
lossFunction(java.lang.String value)
The loss function used during regression.DataframeAnalysisRegression.Builder
lossFunctionParameter(java.lang.Double value)
A positive number that is used as a parameter to theloss_function
.protected DataframeAnalysisRegression.Builder
self()
Methods inherited from class co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase.AbstractBuilder
alpha, dependentVariable, downsampleFactor, earlyStoppingEnabled, eta, etaGrowthRatePerTree, featureBagFraction, featureProcessors, featureProcessors, featureProcessors, gamma, lambda, maxOptimizationRoundsPerHyperparameter, maxTrees, numTopFeatureImportanceValues, predictionFieldName, randomizeSeed, softTreeDepthLimit, softTreeDepthTolerance, trainingPercent
Methods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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Builder
public Builder()
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Method Details
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lossFunction
The loss function used during regression. Available options aremse
(mean squared error),msle
(mean squared logarithmic error),huber
(Pseudo-Huber loss).API name:
loss_function
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lossFunctionParameter
public final DataframeAnalysisRegression.Builder lossFunctionParameter(@Nullable java.lang.Double value)A positive number that is used as a parameter to theloss_function
.API name:
loss_function_parameter
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self
- Specified by:
self
in classDataframeAnalysisBase.AbstractBuilder<DataframeAnalysisRegression.Builder>
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build
Builds aDataframeAnalysisRegression
.- Specified by:
build
in interfaceObjectBuilder<DataframeAnalysisRegression>
- Throws:
java.lang.NullPointerException
- if some of the required fields are null.
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