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:
- 
Nested Class SummaryNested Classes
- 
Field SummaryFieldsModifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeOutlierDetectionSummary>Json deserializer forDataframeOutlierDetectionSummary
- 
Method SummaryModifier 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()
- 
Field Details- 
_DESERIALIZERJson deserializer forDataframeOutlierDetectionSummary
 
- 
- 
Method Details- 
of
- 
aucRocThe AUC ROC (area under the curve of the receiver operating characteristic) score and optionally the curve.API name: auc_roc
- 
precisionSet the different thresholds of the outlier score at where the metric is calculated.API name: precision
- 
recallSet the different thresholds of the outlier score at where the metric is calculated.API name: recall
- 
confusionMatrixSet 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
- 
serializeSerialize this object to JSON.- Specified by:
- serializein interface- JsonpSerializable
 
- 
serializeInternal
- 
toString
- 
setupDataframeOutlierDetectionSummaryDeserializerprotected static void setupDataframeOutlierDetectionSummaryDeserializer(ObjectDeserializer<DataframeOutlierDetectionSummary.Builder> op) 
 
-