Class DataframeAnalysisClassification
java.lang.Object
co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase
co.elastic.clients.elasticsearch.ml.DataframeAnalysisClassification
- All Implemented Interfaces:
DataframeAnalysisVariant
,JsonpSerializable
,UnionVariant
@JsonpDeserializable public final class DataframeAnalysisClassification extends DataframeAnalysisBase implements DataframeAnalysisVariant
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
DataframeAnalysisClassification.Builder
Builder forDataframeAnalysisClassification
.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
Fields Modifier and Type Field Description static JsonpDeserializer<DataframeAnalysisClassification>
_DESERIALIZER
Json deserializer forDataframeAnalysisClassification
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Constructor Summary
Constructors Constructor Description DataframeAnalysisClassification(DataframeAnalysisClassification.Builder builder)
DataframeAnalysisClassification(java.util.function.Function<DataframeAnalysisClassification.Builder,DataframeAnalysisClassification.Builder> fn)
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Method Summary
Modifier and Type Method Description java.lang.String
_variantType()
DataframeAnalysis
variant typejava.lang.String
classAssignmentObjective()
API name:class_assignment_objective
java.lang.Integer
numTopClasses()
Defines the number of categories for which the predicted probabilities are reported.protected void
serializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)
protected static void
setupDataframeAnalysisClassificationDeserializer(DelegatingDeserializer<DataframeAnalysisClassification.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
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Field Details
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_DESERIALIZER
Json deserializer forDataframeAnalysisClassification
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Constructor Details
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DataframeAnalysisClassification
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DataframeAnalysisClassification
public DataframeAnalysisClassification(java.util.function.Function<DataframeAnalysisClassification.Builder,DataframeAnalysisClassification.Builder> fn)
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Method Details
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_variantType
public java.lang.String _variantType()DataframeAnalysis
variant type- Specified by:
_variantType
in interfaceUnionVariant
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classAssignmentObjective
@Nullable public java.lang.String classAssignmentObjective()API name:class_assignment_objective
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numTopClasses
@Nullable public java.lang.Integer 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_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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serializeInternal
- Overrides:
serializeInternal
in classDataframeAnalysisBase
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setupDataframeAnalysisClassificationDeserializer
protected static void setupDataframeAnalysisClassificationDeserializer(DelegatingDeserializer<DataframeAnalysisClassification.Builder> op)
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