Class DataframeEvaluationMetrics
java.lang.Object
co.elastic.clients.elasticsearch.ml.DataframeEvaluationMetrics
- All Implemented Interfaces:
JsonpSerializable
- Direct Known Subclasses:
DataframeEvaluationClassificationMetrics
,DataframeEvaluationOutlierDetectionMetrics
- See Also:
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Nested Class Summary
Modifier and TypeClassDescriptionstatic class
DataframeEvaluationMetrics.AbstractBuilder<BuilderT extends DataframeEvaluationMetrics.AbstractBuilder<BuilderT>>
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Constructor Summary
ModifierConstructorDescriptionprotected
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Method Summary
Modifier and TypeMethodDescriptionaucRoc()
The AUC ROC (area under the curve of the receiver operating characteristic) score and optionally the curve.Precision of predictions (per-class and average).recall()
Recall of predictions (per-class and average).void
serialize
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected void
serializeInternal
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static <BuilderT extends DataframeEvaluationMetrics.AbstractBuilder<BuilderT>>
voidtoString()
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Constructor Details
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DataframeEvaluationMetrics
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Method Details
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aucRoc
The AUC ROC (area under the curve of the receiver operating characteristic) score and optionally the curve. It is calculated for a specific class (provided as "class_name") treated as positive.API name:
auc_roc
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precision
Precision of predictions (per-class and average).API name:
precision
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recall
Recall of predictions (per-class and average).API name:
recall
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serialize
Serialize this object to JSON.- Specified by:
serialize
in interfaceJsonpSerializable
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serializeInternal
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toString
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setupDataframeEvaluationMetricsDeserializer
protected static <BuilderT extends DataframeEvaluationMetrics.AbstractBuilder<BuilderT>> void setupDataframeEvaluationMetricsDeserializer(ObjectDeserializer<BuilderT> op)
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