Package co.elastic.clients.elasticsearch.ml

Class TrainedModelConfigMetadata

java.lang.Object

co.elastic.clients.elasticsearch.ml.TrainedModelConfigMetadata

All Implemented Interfaces:

JsonpSerializable

@JsonpDeserializable
public class TrainedModelConfigMetadata
extends java.lang.Object
implements JsonpSerializable

See Also:

API specification

Nested Class Summary

Nested Classes

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

Field Summary

Fields

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

Method Summary

Modifier and Type	Method	Description
java.util.Map<java.lang.String,java.lang.String>	featureImportanceBaseline()	An object that contains the baseline for feature importance values.
java.util.List<Hyperparameter>	hyperparameters()	List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.
java.util.List<java.lang.String>	modelAliases()	API name: model_aliases
static TrainedModelConfigMetadata	of(java.util.function.Function<TrainedModelConfigMetadata.Builder,ObjectBuilder<TrainedModelConfigMetadata>> fn)
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	setupTrainedModelConfigMetadataDeserializer(ObjectDeserializer<TrainedModelConfigMetadata.Builder> op)
java.lang.String	toString()
java.util.List<TotalFeatureImportance>	totalFeatureImportance()	An array of the total feature importance for each feature used from the training data set.

Methods inherited from class java.lang.Object

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

Field Details

_DESERIALIZER

public static final JsonpDeserializer<TrainedModelConfigMetadata> _DESERIALIZER

Json deserializer for TrainedModelConfigMetadata

Method Details

of

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

modelAliases

public final java.util.List<java.lang.String> modelAliases()

API name: model_aliases

featureImportanceBaseline

public final java.util.Map<java.lang.String,java.lang.String> featureImportanceBaseline()

An object that contains the baseline for feature importance values. For regression analysis, it is a single value. For classification analysis, there is a value for each class.

API name: feature_importance_baseline

hyperparameters

public final java.util.List<Hyperparameter> hyperparameters()

List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.

API name: hyperparameters

totalFeatureImportance

public final java.util.List<TotalFeatureImportance> totalFeatureImportance()

An array of the total feature importance for each feature used from the training data set. This array of objects is returned if data frame analytics trained the model and the request includes total_feature_importance in the include request parameter.

API name: total_feature_importance

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)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

setupTrainedModelConfigMetadataDeserializer

protected static void setupTrainedModelConfigMetadataDeserializer(ObjectDeserializer<TrainedModelConfigMetadata.Builder> op)