Class DataframeAnalysisClassification.Builder
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase.AbstractBuilder<DataframeAnalysisClassification.Builder>
co.elastic.clients.elasticsearch.ml.DataframeAnalysisClassification.Builder
- All Implemented Interfaces:
ObjectBuilder<DataframeAnalysisClassification>
- Enclosing class:
- DataframeAnalysisClassification
public static class DataframeAnalysisClassification.Builder extends DataframeAnalysisBase.AbstractBuilder<DataframeAnalysisClassification.Builder> implements ObjectBuilder<DataframeAnalysisClassification>
Builder for
DataframeAnalysisClassification
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Constructor Summary
Constructors Constructor Description Builder()
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Method Summary
Modifier and Type Method Description DataframeAnalysisClassification
build()
Builds aDataframeAnalysisClassification
.DataframeAnalysisClassification.Builder
classAssignmentObjective(java.lang.String value)
API name:class_assignment_objective
DataframeAnalysisClassification.Builder
numTopClasses(java.lang.Integer value)
Defines the number of categories for which the predicted probabilities are reported.protected DataframeAnalysisClassification.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.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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classAssignmentObjective
public final DataframeAnalysisClassification.Builder classAssignmentObjective(@Nullable java.lang.String value)API name:class_assignment_objective
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numTopClasses
public final DataframeAnalysisClassification.Builder numTopClasses(@Nullable java.lang.Integer value)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_classes
must be set to -1 or a value greater than or equal to the total number of categories.API name:
num_top_classes
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self
- Specified by:
self
in classDataframeAnalysisBase.AbstractBuilder<DataframeAnalysisClassification.Builder>
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build
Builds aDataframeAnalysisClassification
.- Specified by:
build
in interfaceObjectBuilder<DataframeAnalysisClassification>
- Throws:
java.lang.NullPointerException
- if some of the required fields are null.
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