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
Nested Classes -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeOutlierDetectionSummary>Json deserializer forDataframeOutlierDetectionSummary -
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.voidserialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected voidserializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static voidsetupDataframeOutlierDetectionSummaryDeserializer(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 -
precision
Set the different thresholds of the outlier score at where the metric is calculated.API name:
precision -
recall
Set the different thresholds of the outlier score at where the metric is calculated.API name:
recall -
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 -
serialize
Serialize this object to JSON.- Specified by:
serializein 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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