Class DataframeEvaluationOutlierDetection
java.lang.Object
co.elastic.clients.elasticsearch.ml.DataframeEvaluationOutlierDetection
- All Implemented Interfaces:
DataframeEvaluationVariant,JsonpSerializable
@JsonpDeserializable
public class DataframeEvaluationOutlierDetection
extends Object
implements DataframeEvaluationVariant, JsonpSerializable
- See Also:
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Nested Class Summary
Nested Classes -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeEvaluationOutlierDetection>Json deserializer forDataframeEvaluationOutlierDetection -
Method Summary
Modifier and TypeMethodDescriptionDataframeEvaluation variant kind.final StringRequired - The field of the index which contains the ground truth.metrics()Specifies the metrics that are used for the evaluation.of(Function<DataframeEvaluationOutlierDetection.Builder, ObjectBuilder<DataframeEvaluationOutlierDetection>> fn) final StringRequired - The field of the index that defines the probability of whether the item belongs to the class in question or not.voidserialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected voidserializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static voidsetupDataframeEvaluationOutlierDetectionDeserializer(ObjectDeserializer<DataframeEvaluationOutlierDetection.Builder> op) toString()Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface co.elastic.clients.elasticsearch.ml.DataframeEvaluationVariant
_toDataframeEvaluation
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Field Details
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_DESERIALIZER
Json deserializer forDataframeEvaluationOutlierDetection
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Method Details
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of
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_dataframeEvaluationKind
DataframeEvaluation variant kind.- Specified by:
_dataframeEvaluationKindin interfaceDataframeEvaluationVariant
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actualField
Required - The field of the index which contains the ground truth. The data type of this field can be boolean or integer. If the data type is integer, the value has to be either 0 (false) or 1 (true).API name:
actual_field -
predictedProbabilityField
Required - The field of the index that defines the probability of whether the item belongs to the class in question or not. It’s the field that contains the results of the analysis.API name:
predicted_probability_field -
metrics
Specifies the metrics that are used for the evaluation.API name:
metrics -
serialize
Serialize this object to JSON.- Specified by:
serializein interfaceJsonpSerializable
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serializeInternal
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toString
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setupDataframeEvaluationOutlierDetectionDeserializer
protected static void setupDataframeEvaluationOutlierDetectionDeserializer(ObjectDeserializer<DataframeEvaluationOutlierDetection.Builder> op)
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