Class TrainedModelConfig.AbstractBuilder<BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>>
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.util.WithJsonObjectBuilderBase<BuilderT>
co.elastic.clients.elasticsearch.ml.TrainedModelConfig.AbstractBuilder<BuilderT>
- All Implemented Interfaces:
WithJson<BuilderT>
- Direct Known Subclasses:
PutTrainedModelResponse.Builder
,TrainedModelConfig.Builder
- Enclosing class:
- TrainedModelConfig
public abstract static class TrainedModelConfig.AbstractBuilder<BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>>
extends WithJsonObjectBuilderBase<BuilderT>
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionfinal BuilderT
compressedDefinition
(String value) API name:compressed_definition
final BuilderT
Information on the creator of the trained model.final BuilderT
createTime
(Time value) The time when the trained model was created.final BuilderT
The time when the trained model was created.final BuilderT
defaultFieldMap
(String key, String value) Any field map described in the inference configuration takes precedence.final BuilderT
defaultFieldMap
(Map<String, String> map) Any field map described in the inference configuration takes precedence.final BuilderT
description
(String value) The free-text description of the trained model.final BuilderT
The estimated heap usage in bytes to keep the trained model in memory.final BuilderT
estimatedOperations
(Integer value) The estimated number of operations to use the trained model.final BuilderT
inferenceConfig
(InferenceConfig value) Required - The default configuration for inference.final BuilderT
Required - The default configuration for inference.final BuilderT
input
(TrainedModelConfigInput value) Required - The input field names for the model definition.final BuilderT
Required - The input field names for the model definition.final BuilderT
licenseLevel
(String value) The license level of the trained model.final BuilderT
An object containing metadata about the trained model.final BuilderT
An object containing metadata about the trained model.final BuilderT
Required - Idetifier for the trained model.protected abstract BuilderT
self()
final BuilderT
Required - A comma delimited string of tags.final BuilderT
Required - A comma delimited string of tags.final BuilderT
The Elasticsearch version number in which the trained model was created.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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AbstractBuilder
public AbstractBuilder()
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Method Details
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modelId
Required - Idetifier for the trained model.API name:
model_id
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tags
Required - A comma delimited string of tags. A trained model can have many tags, or none.API name:
tags
Adds all elements of
list
totags
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tags
Required - A comma delimited string of tags. A trained model can have many tags, or none.API name:
tags
Adds one or more values to
tags
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version
The Elasticsearch version number in which the trained model was created.API name:
version
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compressedDefinition
API name:compressed_definition
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createdBy
Information on the creator of the trained model.API name:
created_by
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createTime
The time when the trained model was created.API name:
create_time
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createTime
The time when the trained model was created.API name:
create_time
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defaultFieldMap
Any field map described in the inference configuration takes precedence.API name:
default_field_map
Adds all entries of
map
todefaultFieldMap
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defaultFieldMap
Any field map described in the inference configuration takes precedence.API name:
default_field_map
Adds an entry to
defaultFieldMap
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description
The free-text description of the trained model.API name:
description
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estimatedHeapMemoryUsageBytes
The estimated heap usage in bytes to keep the trained model in memory.API name:
estimated_heap_memory_usage_bytes
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estimatedOperations
The estimated number of operations to use the trained model.API name:
estimated_operations
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inferenceConfig
Required - The default configuration for inference. This can be either a regression or classification configuration. It must match the underlying definition.trained_model's target_type.API name:
inference_config
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inferenceConfig
public final BuilderT inferenceConfig(Function<InferenceConfig.Builder, ObjectBuilder<InferenceConfig>> fn) Required - The default configuration for inference. This can be either a regression or classification configuration. It must match the underlying definition.trained_model's target_type.API name:
inference_config
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input
Required - The input field names for the model definition.API name:
input
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input
public final BuilderT input(Function<TrainedModelConfigInput.Builder, ObjectBuilder<TrainedModelConfigInput>> fn) Required - The input field names for the model definition.API name:
input
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licenseLevel
The license level of the trained model.API name:
license_level
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metadata
An object containing metadata about the trained model. For example, models created by data frame analytics contain analysis_config and input objects.API name:
metadata
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metadata
public final BuilderT metadata(Function<TrainedModelConfigMetadata.Builder, ObjectBuilder<TrainedModelConfigMetadata>> fn) An object containing metadata about the trained model. For example, models created by data frame analytics contain analysis_config and input objects.API name:
metadata
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self
- Specified by:
self
in classWithJsonObjectBuilderBase<BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>>
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