Package co.elastic.clients.elasticsearch.ml

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:

• API specification

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	DataframeAnalysisRegression.Builder	Builder for DataframeAnalysisRegression.

Nested classes/interfaces inherited from class co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase

DataframeAnalysisBase.AbstractBuilder<BuilderT extends DataframeAnalysisBase.AbstractBuilder<BuilderT>>

Field Summary

Fields

Modifier and Type	Field	Description
static final JsonpDeserializer<DataframeAnalysisRegression>	_DESERIALIZER	Json deserializer for DataframeAnalysisRegression

Method Summary

Modifier and Type	Method	Description
DataframeAnalysis.Kind	_dataframeAnalysisKind()	DataframeAnalysis variant kind.
final String	lossFunction()	The loss function used during regression.
final Double	lossFunctionParameter()	A positive number that is used as a parameter to the loss_function.
static DataframeAnalysisRegression	of(Function<DataframeAnalysisRegression.Builder,ObjectBuilder<DataframeAnalysisRegression>> fn)
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

Field Details

_DESERIALIZER

public static final JsonpDeserializer<DataframeAnalysisRegression> _DESERIALIZER

Json deserializer for DataframeAnalysisRegression

Method Details

of

public static DataframeAnalysisRegression of(Function<DataframeAnalysisRegression.Builder,ObjectBuilder<DataframeAnalysisRegression>> fn)

_dataframeAnalysisKind

public DataframeAnalysis.Kind _dataframeAnalysisKind()

DataframeAnalysis variant kind.

Specified by:

_dataframeAnalysisKind in interface DataframeAnalysisVariant

lossFunction

@Nullable
public final String lossFunction()

The loss function used during regression. Available options are mse (mean squared error), msle (mean squared logarithmic error), huber (Pseudo-Huber loss).

API name: loss_function

lossFunctionParameter

@Nullable
public final Double lossFunctionParameter()

A positive number that is used as a parameter to the loss_function.

API name: loss_function_parameter

serializeInternal

protected void serializeInternal(jakarta.json.stream.JsonGenerator generator,
 JsonpMapper mapper)

Overrides:

serializeInternal in class DataframeAnalysisBase

setupDataframeAnalysisRegressionDeserializer

protected static void setupDataframeAnalysisRegressionDeserializer(ObjectDeserializer<DataframeAnalysisRegression.Builder> op)