Package co.elastic.clients.elasticsearch.ml

Class DataframeEvaluationOutlierDetection

java.lang.Object

co.elastic.clients.elasticsearch.ml.DataframeEvaluationOutlierDetection

All Implemented Interfaces:

DataframeEvaluationVariant, JsonpSerializable, UnionVariant

@JsonpDeserializable
public final class DataframeEvaluationOutlierDetection
extends java.lang.Object
implements DataframeEvaluationVariant, JsonpSerializable

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	DataframeEvaluationOutlierDetection.Builder	Builder for DataframeEvaluationOutlierDetection.

Field Summary

Fields

Modifier and Type	Field	Description
static JsonpDeserializer<DataframeEvaluationOutlierDetection>	_DESERIALIZER	Json deserializer for DataframeEvaluationOutlierDetection

Constructor Summary

Constructors

Constructor	Description
DataframeEvaluationOutlierDetection(DataframeEvaluationOutlierDetection.Builder builder)
DataframeEvaluationOutlierDetection(java.util.function.Function<DataframeEvaluationOutlierDetection.Builder,DataframeEvaluationOutlierDetection.Builder> fn)

Method Summary

Modifier and Type	Method	Description
java.lang.String	_variantType()	DataframeEvaluation variant type
java.lang.String	actualField()	Required - The field of the index which contains the ground truth.
DataframeEvaluationOutlierDetectionMetrics	metrics()	Specifies the metrics that are used for the evaluation.
java.lang.String	predictedProbabilityField()	Required - The field of the index that defines the probability of whether the item belongs to the class in question or not.
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	setupDataframeEvaluationOutlierDetectionDeserializer(DelegatingDeserializer<DataframeEvaluationOutlierDetection.Builder> op)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface co.elastic.clients.elasticsearch.ml.DataframeEvaluationVariant

_toDataframeEvaluation

Field Details

_DESERIALIZER

public static final JsonpDeserializer<DataframeEvaluationOutlierDetection> _DESERIALIZER

Json deserializer for DataframeEvaluationOutlierDetection

Constructor Details

DataframeEvaluationOutlierDetection

public DataframeEvaluationOutlierDetection(DataframeEvaluationOutlierDetection.Builder builder)

DataframeEvaluationOutlierDetection

public DataframeEvaluationOutlierDetection(java.util.function.Function<DataframeEvaluationOutlierDetection.Builder,DataframeEvaluationOutlierDetection.Builder> fn)

Method Details

_variantType

public java.lang.String _variantType()

DataframeEvaluation variant type

Specified by:

_variantType in interface UnionVariant

actualField

public java.lang.String 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

public java.lang.String 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

@Nullable
public DataframeEvaluationOutlierDetectionMetrics metrics()

Specifies the metrics that are used for the evaluation.

API name: metrics

serialize

public void serialize(jakarta.json.stream.JsonGenerator generator,
JsonpMapper mapper)

Serialize this object to JSON.

Specified by:

serialize in interface JsonpSerializable

serializeInternal

protected void serializeInternal(jakarta.json.stream.JsonGenerator generator,
JsonpMapper mapper)

setupDataframeEvaluationOutlierDetectionDeserializer

protected static void setupDataframeEvaluationOutlierDetectionDeserializer(DelegatingDeserializer<DataframeEvaluationOutlierDetection.Builder> op)