Class DataframeAnalysisClassification
java.lang.Object
co.elastic.clients.elasticsearch.ml.DataframeAnalysisBase
co.elastic.clients.elasticsearch.ml.DataframeAnalysisClassification
- All Implemented Interfaces:
DataframeAnalysisVariant
,JsonpSerializable
@JsonpDeserializable
public class DataframeAnalysisClassification
extends DataframeAnalysisBase
implements DataframeAnalysisVariant
- See Also:
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Nested Class Summary
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
Modifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeAnalysisClassification>
Json deserializer forDataframeAnalysisClassification
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Method Summary
Modifier and TypeMethodDescriptionDataframeAnalysis variant kind.final String
API name:class_assignment_objective
final Integer
Defines the number of categories for which the predicted probabilities are reported.of
(Function<DataframeAnalysisClassification.Builder, ObjectBuilder<DataframeAnalysisClassification>> fn) protected void
serializeInternal
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static void
setupDataframeAnalysisClassificationDeserializer
(ObjectDeserializer<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, 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
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Field Details
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_DESERIALIZER
Json deserializer forDataframeAnalysisClassification
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Method Details
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of
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_dataframeAnalysisKind
DataframeAnalysis variant kind.- Specified by:
_dataframeAnalysisKind
in interfaceDataframeAnalysisVariant
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classAssignmentObjective
API name:class_assignment_objective
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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(ObjectDeserializer<DataframeAnalysisClassification.Builder> op)
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