Class DataframeAnalysisClassification.Builder
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.util.WithJsonObjectBuilderBase<BuilderT>
co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase.AbstractBuilder<DataframeAnalysisClassification.Builder>
co.elastic.clients.elasticsearch.ml.DataframeAnalysisClassification.Builder
- All Implemented Interfaces:
WithJson<DataframeAnalysisClassification.Builder>,ObjectBuilder<DataframeAnalysisClassification>
- Enclosing class:
- DataframeAnalysisClassification
public static class DataframeAnalysisClassification.Builder
extends DataframeAnalysisBase.AbstractBuilder<DataframeAnalysisClassification.Builder>
implements ObjectBuilder<DataframeAnalysisClassification>
Builder for
DataframeAnalysisClassification.-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionbuild()Builds aDataframeAnalysisClassification.classAssignmentObjective(String value) API name:class_assignment_objectivenumTopClasses(Integer value) Defines the number of categories for which the predicted probabilities are reported.protected DataframeAnalysisClassification.Builderself()Methods inherited from class co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase.AbstractBuilder
alpha, dependentVariable, downsampleFactor, earlyStoppingEnabled, eta, etaGrowthRatePerTree, featureBagFraction, featureProcessors, featureProcessors, featureProcessors, featureProcessors, gamma, lambda, maxOptimizationRoundsPerHyperparameter, maxTrees, numTopFeatureImportanceValues, predictionFieldName, randomizeSeed, softTreeDepthLimit, softTreeDepthTolerance, trainingPercentMethods inherited from class co.elastic.clients.util.WithJsonObjectBuilderBase
withJsonMethods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
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Constructor Details
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Builder
public Builder()
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Method Details
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classAssignmentObjective
public final DataframeAnalysisClassification.Builder classAssignmentObjective(@Nullable String value) API name:class_assignment_objective -
numTopClasses
Defines the number of categories for which the predicted probabilities are reported. It must be non-negative or -1. If it is -1 or greater than the total number of categories, probabilities are reported for all categories; if you have a large number of categories, there could be a significant effect on the size of your destination index. NOTE: To use the AUC ROC evaluation method,num_top_classesmust be set to -1 or a value greater than or equal to the total number of categories.API name:
num_top_classes -
self
- Specified by:
selfin classDataframeAnalysisBase.AbstractBuilder<DataframeAnalysisClassification.Builder>
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build
Builds aDataframeAnalysisClassification.- Specified by:
buildin interfaceObjectBuilder<DataframeAnalysisClassification>- Throws:
NullPointerException- if some of the required fields are null.
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