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 forDataframeAnalysisRegression
.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 JsonpDeserializer<DataframeAnalysisRegression>
_DESERIALIZER
Json deserializer forDataframeAnalysisRegression
-
Method Summary
Modifier and Type Method Description DataframeAnalysis.Kind
_dataframeAnalysisKind()
DataframeAnalysis variant kind.java.lang.String
lossFunction()
The loss function used during regression.java.lang.Double
lossFunctionParameter()
A positive number that is used as a parameter to theloss_function
.static DataframeAnalysisRegression
of(java.util.function.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, trainingPercent
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface co.elastic.clients.elasticsearch.ml.DataframeAnalysisVariant
_toDataframeAnalysis
-
Field Details
-
_DESERIALIZER
Json deserializer forDataframeAnalysisRegression
-
-
Method Details
-
of
public static DataframeAnalysisRegression of(java.util.function.Function<DataframeAnalysisRegression.Builder,ObjectBuilder<DataframeAnalysisRegression>> fn) -
_dataframeAnalysisKind
DataframeAnalysis variant kind.- Specified by:
_dataframeAnalysisKind
in interfaceDataframeAnalysisVariant
-
lossFunction
@Nullable public final java.lang.String 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
-
lossFunctionParameter
@Nullable public final java.lang.Double lossFunctionParameter()A positive number that is used as a parameter to theloss_function
.API name:
loss_function_parameter
-
serializeInternal
- Overrides:
serializeInternal
in classDataframeAnalysisBase
-
setupDataframeAnalysisRegressionDeserializer
protected static void setupDataframeAnalysisRegressionDeserializer(ObjectDeserializer<DataframeAnalysisRegression.Builder> op)
-