Package co.elastic.clients.elasticsearch.ml

Class TrainedModelConfigMetadata.Builder

java.lang.Object

co.elastic.clients.elasticsearch.ml.TrainedModelConfigMetadata.Builder

All Implemented Interfaces:

ObjectBuilder<TrainedModelConfigMetadata>

Enclosing class:

TrainedModelConfigMetadata

public static class TrainedModelConfigMetadata.Builder
extends java.lang.Object
implements ObjectBuilder<TrainedModelConfigMetadata>

Builder for TrainedModelConfigMetadata.

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
TrainedModelConfigMetadata.Builder	addHyperparameters(Hyperparameter value)	Add a value to hyperparameters(List), creating the list if needed.
TrainedModelConfigMetadata.Builder	addHyperparameters(java.util.function.Function<Hyperparameter.Builder,ObjectBuilder<Hyperparameter>> fn)	Add a value to hyperparameters(List), creating the list if needed.
TrainedModelConfigMetadata.Builder	addModelAliases(java.lang.String value)	Add a value to modelAliases(List), creating the list if needed.
TrainedModelConfigMetadata.Builder	addTotalFeatureImportance(TotalFeatureImportance value)	Add a value to totalFeatureImportance(List), creating the list if needed.
TrainedModelConfigMetadata.Builder	addTotalFeatureImportance(java.util.function.Function<TotalFeatureImportance.Builder,ObjectBuilder<TotalFeatureImportance>> fn)	Add a value to totalFeatureImportance(List), creating the list if needed.
TrainedModelConfigMetadata	build()	Builds a TrainedModelConfigMetadata.
TrainedModelConfigMetadata.Builder	featureImportanceBaseline(java.util.Map<java.lang.String,java.lang.String> value)	An object that contains the baseline for feature importance values.
TrainedModelConfigMetadata.Builder	hyperparameters(Hyperparameter... value)	List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.
TrainedModelConfigMetadata.Builder	hyperparameters(java.util.function.Function<Hyperparameter.Builder,ObjectBuilder<Hyperparameter>> fn)	Set hyperparameters(List) to a singleton list.
TrainedModelConfigMetadata.Builder	hyperparameters(java.util.List<Hyperparameter> value)	List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.
TrainedModelConfigMetadata.Builder	modelAliases(java.lang.String... value)	API name: model_aliases
TrainedModelConfigMetadata.Builder	modelAliases(java.util.List<java.lang.String> value)	API name: model_aliases
TrainedModelConfigMetadata.Builder	putFeatureImportanceBaseline(java.lang.String key, java.lang.String value)	Add a key/value to featureImportanceBaseline(Map), creating the map if needed.
TrainedModelConfigMetadata.Builder	totalFeatureImportance(TotalFeatureImportance... value)	An array of the total feature importance for each feature used from the training data set.
TrainedModelConfigMetadata.Builder	totalFeatureImportance(java.util.function.Function<TotalFeatureImportance.Builder,ObjectBuilder<TotalFeatureImportance>> fn)	Set totalFeatureImportance(List) to a singleton list.
TrainedModelConfigMetadata.Builder	totalFeatureImportance(java.util.List<TotalFeatureImportance> value)	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, toString, wait, wait, wait

Constructor Details

Builder

public Builder()

Method Details

modelAliases

public TrainedModelConfigMetadata.Builder modelAliases(@Nullable
java.util.List<java.lang.String> value)

API name: model_aliases

modelAliases

public TrainedModelConfigMetadata.Builder modelAliases(java.lang.String... value)

API name: model_aliases

addModelAliases

public TrainedModelConfigMetadata.Builder addModelAliases(java.lang.String value)

Add a value to modelAliases(List), creating the list if needed.

featureImportanceBaseline

public TrainedModelConfigMetadata.Builder featureImportanceBaseline(@Nullable
java.util.Map<java.lang.String,java.lang.String> value)

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

putFeatureImportanceBaseline

public TrainedModelConfigMetadata.Builder putFeatureImportanceBaseline(java.lang.String key,
java.lang.String value)

Add a key/value to featureImportanceBaseline(Map), creating the map if needed.

hyperparameters

public TrainedModelConfigMetadata.Builder hyperparameters(@Nullable
java.util.List<Hyperparameter> value)

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

API name: hyperparameters

hyperparameters

public TrainedModelConfigMetadata.Builder hyperparameters(Hyperparameter... value)

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

API name: hyperparameters

addHyperparameters

public TrainedModelConfigMetadata.Builder addHyperparameters(Hyperparameter value)

Add a value to hyperparameters(List), creating the list if needed.

hyperparameters

public TrainedModelConfigMetadata.Builder hyperparameters(java.util.function.Function<Hyperparameter.Builder,ObjectBuilder<Hyperparameter>> fn)

Set hyperparameters(List) to a singleton list.

addHyperparameters

public TrainedModelConfigMetadata.Builder addHyperparameters(java.util.function.Function<Hyperparameter.Builder,ObjectBuilder<Hyperparameter>> fn)

Add a value to hyperparameters(List), creating the list if needed.

totalFeatureImportance

public TrainedModelConfigMetadata.Builder totalFeatureImportance(@Nullable
java.util.List<TotalFeatureImportance> value)

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

totalFeatureImportance

public TrainedModelConfigMetadata.Builder totalFeatureImportance(TotalFeatureImportance... value)

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

addTotalFeatureImportance

public TrainedModelConfigMetadata.Builder addTotalFeatureImportance(TotalFeatureImportance value)

Add a value to totalFeatureImportance(List), creating the list if needed.

totalFeatureImportance

public TrainedModelConfigMetadata.Builder totalFeatureImportance(java.util.function.Function<TotalFeatureImportance.Builder,ObjectBuilder<TotalFeatureImportance>> fn)

Set totalFeatureImportance(List) to a singleton list.

addTotalFeatureImportance

public TrainedModelConfigMetadata.Builder addTotalFeatureImportance(java.util.function.Function<TotalFeatureImportance.Builder,ObjectBuilder<TotalFeatureImportance>> fn)

Add a value to totalFeatureImportance(List), creating the list if needed.

build

public TrainedModelConfigMetadata build()

Builds a TrainedModelConfigMetadata.

Specified by:

build in interface ObjectBuilder<TrainedModelConfigMetadata>

Throws:

java.lang.NullPointerException - if some of the required fields are null.