Class TrainedModelConfigMetadata.Builder
- All Implemented Interfaces:
WithJson<TrainedModelConfigMetadata.Builder>
,ObjectBuilder<TrainedModelConfigMetadata>
- Enclosing class:
- TrainedModelConfigMetadata
TrainedModelConfigMetadata
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionbuild()
Builds aTrainedModelConfigMetadata
.featureImportanceBaseline
(String key, String value) An object that contains the baseline for feature importance values.An object that contains the baseline for feature importance values.hyperparameters
(Hyperparameter value, Hyperparameter... values) List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.hyperparameters
(List<Hyperparameter> list) List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.modelAliases
(String value, String... values) API name:model_aliases
modelAliases
(List<String> list) API name:model_aliases
protected TrainedModelConfigMetadata.Builder
self()
totalFeatureImportance
(TotalFeatureImportance value, TotalFeatureImportance... values) An array of the total feature importance for each feature used from the training data set.totalFeatureImportance
(Function<TotalFeatureImportance.Builder, ObjectBuilder<TotalFeatureImportance>> fn) An array of the total feature importance for each feature used from the training data set.An array of the total feature importance for each feature used from the training data set.Methods inherited from class co.elastic.clients.util.WithJsonObjectBuilderBase
withJson
Methods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
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Constructor Details
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Builder
public Builder()
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Method Details
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modelAliases
API name:model_aliases
Adds all elements of
list
tomodelAliases
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modelAliases
API name:model_aliases
Adds one or more values to
modelAliases
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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
Adds all entries of
map
tofeatureImportanceBaseline
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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
Adds an entry to
featureImportanceBaseline
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hyperparameters
List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.API name:
hyperparameters
Adds all elements of
list
tohyperparameters
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hyperparameters
public final TrainedModelConfigMetadata.Builder hyperparameters(Hyperparameter value, Hyperparameter... values) List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.API name:
hyperparameters
Adds one or more values to
hyperparameters
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hyperparameters
public final TrainedModelConfigMetadata.Builder hyperparameters(Function<Hyperparameter.Builder, ObjectBuilder<Hyperparameter>> fn) List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.API name:
hyperparameters
Adds a value to
hyperparameters
using a builder lambda. -
totalFeatureImportance
public final TrainedModelConfigMetadata.Builder totalFeatureImportance(List<TotalFeatureImportance> list) 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
Adds all elements of
list
tototalFeatureImportance
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totalFeatureImportance
public final TrainedModelConfigMetadata.Builder totalFeatureImportance(TotalFeatureImportance value, TotalFeatureImportance... values) 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
Adds one or more values to
totalFeatureImportance
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totalFeatureImportance
public final TrainedModelConfigMetadata.Builder totalFeatureImportance(Function<TotalFeatureImportance.Builder, ObjectBuilder<TotalFeatureImportance>> fn) 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
Adds a value to
totalFeatureImportance
using a builder lambda. -
self
- Specified by:
self
in classWithJsonObjectBuilderBase<TrainedModelConfigMetadata.Builder>
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build
Builds aTrainedModelConfigMetadata
.- Specified by:
build
in interfaceObjectBuilder<TrainedModelConfigMetadata>
- Throws:
NullPointerException
- if some of the required fields are null.
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