Class DataframeAnalysisRegression.Builder
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.util.WithJsonObjectBuilderBase<BuilderT>
co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase.AbstractBuilder<DataframeAnalysisRegression.Builder>
co.elastic.clients.elasticsearch.ml.DataframeAnalysisRegression.Builder
- All Implemented Interfaces:
WithJson<DataframeAnalysisRegression.Builder>
,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.WithJsonObjectBuilderBase
withJson
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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