Package co.elastic.clients.elasticsearch.ml

Class DataframeEvaluationOutlierDetection

java.lang.Object

co.elastic.clients.elasticsearch.ml.DataframeEvaluationOutlierDetection

All Implemented Interfaces:

DataframeEvaluationVariant, JsonpSerializable

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

See Also:

API specification

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

Method Summary

Modifier and Type	Method	Description
DataframeEvaluation.Kind	_dataframeEvaluationKind()	DataframeEvaluation variant kind.
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.
static DataframeEvaluationOutlierDetection	of(java.util.function.Function<DataframeEvaluationOutlierDetection.Builder,ObjectBuilder<DataframeEvaluationOutlierDetection>> fn)
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(ObjectDeserializer<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

Method Details

of

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

_dataframeEvaluationKind

public DataframeEvaluation.Kind _dataframeEvaluationKind()

DataframeEvaluation variant kind.

Specified by:

_dataframeEvaluationKind in interface DataframeEvaluationVariant

actualField

public final 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 final 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 final 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(ObjectDeserializer<DataframeEvaluationOutlierDetection.Builder> op)