Class DataframeOutlierDetectionSummary
java.lang.Object
co.elastic.clients.elasticsearch.ml.evaluate_data_frame.DataframeOutlierDetectionSummary
- All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public class DataframeOutlierDetectionSummary
extends Object
implements JsonpSerializable
- See Also:
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Nested Class Summary
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Field Summary
Modifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeOutlierDetectionSummary>
Json deserializer forDataframeOutlierDetectionSummary
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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.final Map<String,
ConfusionMatrixThreshold> Set the different thresholds of the outlier score at where the metrics (tp
- true positive,fp
- false positive,tn
- true negative,fn
- false negative) are calculated.of
(Function<DataframeOutlierDetectionSummary.Builder, ObjectBuilder<DataframeOutlierDetectionSummary>> fn) Set the different thresholds of the outlier score at where the metric is calculated.recall()
Set the different thresholds of the outlier score at where the metric is calculated.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 void
setupDataframeOutlierDetectionSummaryDeserializer
(ObjectDeserializer<DataframeOutlierDetectionSummary.Builder> op) toString()
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Field Details
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_DESERIALIZER
Json deserializer forDataframeOutlierDetectionSummary
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Method Details
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of
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aucRoc
The AUC ROC (area under the curve of the receiver operating characteristic) score and optionally the curve.API name:
auc_roc
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precision
Set the different thresholds of the outlier score at where the metric is calculated.API name:
precision
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recall
Set the different thresholds of the outlier score at where the metric is calculated.API name:
recall
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confusionMatrix
Set the different thresholds of the outlier score at where the metrics (tp
- true positive,fp
- false positive,tn
- true negative,fn
- false negative) are calculated.API name:
confusion_matrix
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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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setupDataframeOutlierDetectionSummaryDeserializer
protected static void setupDataframeOutlierDetectionSummaryDeserializer(ObjectDeserializer<DataframeOutlierDetectionSummary.Builder> op)
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