Class DataframeAnalysisRegression
java.lang.Object
co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase
co.elastic.clients.elasticsearch.ml.DataframeAnalysisRegression
- All Implemented Interfaces:
DataframeAnalysisVariant
,JsonpSerializable
@JsonpDeserializable
public class DataframeAnalysisRegression
extends DataframeAnalysisBase
implements DataframeAnalysisVariant
- See Also:
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Nested Class Summary
Nested classes/interfaces inherited from class co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase
DataframeAnalysisBase.AbstractBuilder<BuilderT extends DataframeAnalysisBase.AbstractBuilder<BuilderT>>
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Field Summary
Modifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeAnalysisRegression>
Json deserializer forDataframeAnalysisRegression
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Method Summary
Modifier and TypeMethodDescriptionDataframeAnalysis variant kind.final String
The loss function used during regression.final Double
A positive number that is used as a parameter to theloss_function
.static DataframeAnalysisRegression
protected void
serializeInternal
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static void
setupDataframeAnalysisRegressionDeserializer
(ObjectDeserializer<DataframeAnalysisRegression.Builder> op) Methods inherited from class co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase
alpha, dependentVariable, downsampleFactor, earlyStoppingEnabled, eta, etaGrowthRatePerTree, featureBagFraction, featureProcessors, gamma, lambda, maxOptimizationRoundsPerHyperparameter, maxTrees, numTopFeatureImportanceValues, predictionFieldName, randomizeSeed, serialize, setupDataframeAnalysisBaseDeserializer, softTreeDepthLimit, softTreeDepthTolerance, toString, trainingPercent
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface co.elastic.clients.elasticsearch.ml.DataframeAnalysisVariant
_toDataframeAnalysis
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Field Details
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_DESERIALIZER
Json deserializer forDataframeAnalysisRegression
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Method Details
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of
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_dataframeAnalysisKind
DataframeAnalysis variant kind.- Specified by:
_dataframeAnalysisKind
in interfaceDataframeAnalysisVariant
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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
A positive number that is used as a parameter to theloss_function
.API name:
loss_function_parameter
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serializeInternal
- Overrides:
serializeInternal
in classDataframeAnalysisBase
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setupDataframeAnalysisRegressionDeserializer
protected static void setupDataframeAnalysisRegressionDeserializer(ObjectDeserializer<DataframeAnalysisRegression.Builder> op)
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