Class TrainedModelConfig.AbstractBuilder<BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>>
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.elasticsearch.ml.TrainedModelConfig.AbstractBuilder<BuilderT>
- Direct Known Subclasses:
PutTrainedModelResponse.Builder
,TrainedModelConfig.Builder
- Enclosing class:
- TrainedModelConfig
protected abstract static class TrainedModelConfig.AbstractBuilder<BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>> extends ObjectBuilderBase
-
Constructor Summary
Constructors Modifier Constructor Description protected
AbstractBuilder()
-
Method Summary
Modifier and Type Method Description BuilderT
compressedDefinition(java.lang.String value)
API name:compressed_definition
BuilderT
createdBy(java.lang.String value)
Information on the creator of the trained model.BuilderT
createTime(Time value)
The time when the trained model was created.BuilderT
createTime(java.util.function.Function<Time.Builder,ObjectBuilder<Time>> fn)
The time when the trained model was created.BuilderT
defaultFieldMap(java.lang.String key, java.lang.String value)
Any field map described in the inference configuration takes precedence.BuilderT
defaultFieldMap(java.util.Map<java.lang.String,java.lang.String> map)
Any field map described in the inference configuration takes precedence.BuilderT
description(java.lang.String value)
The free-text description of the trained model.BuilderT
estimatedHeapMemoryUsageBytes(java.lang.Integer value)
The estimated heap usage in bytes to keep the trained model in memory.BuilderT
estimatedOperations(java.lang.Integer value)
The estimated number of operations to use the trained model.BuilderT
inferenceConfig(InferenceConfig value)
Required - The default configuration for inference.BuilderT
inferenceConfig(java.util.function.Function<InferenceConfig.Builder,ObjectBuilder<InferenceConfig>> fn)
Required - The default configuration for inference.BuilderT
input(TrainedModelConfigInput value)
Required - The input field names for the model definition.BuilderT
input(java.util.function.Function<TrainedModelConfigInput.Builder,ObjectBuilder<TrainedModelConfigInput>> fn)
Required - The input field names for the model definition.BuilderT
licenseLevel(java.lang.String value)
The license level of the trained model.BuilderT
metadata(TrainedModelConfigMetadata value)
An object containing metadata about the trained model.BuilderT
metadata(java.util.function.Function<TrainedModelConfigMetadata.Builder,ObjectBuilder<TrainedModelConfigMetadata>> fn)
An object containing metadata about the trained model.BuilderT
modelId(java.lang.String value)
Required - Idetifier for the trained model.protected abstract BuilderT
self()
BuilderT
tags(java.lang.String value, java.lang.String... values)
Required - A comma delimited string of tags.BuilderT
tags(java.util.List<java.lang.String> list)
Required - A comma delimited string of tags.BuilderT
version(java.lang.String value)
The Elasticsearch version number in which the trained model was created.Methods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Constructor Details
-
AbstractBuilder
protected AbstractBuilder()
-
-
Method Details
-
modelId
Required - Idetifier for the trained model.API name:
model_id
-
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
. -
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
. -
version
The Elasticsearch version number in which the trained model was created.API name:
version
-
compressedDefinition
API name:compressed_definition
-
createdBy
Information on the creator of the trained model.API name:
created_by
-
createTime
The time when the trained model was created.API name:
create_time
-
createTime
public final BuilderT createTime(java.util.function.Function<Time.Builder,ObjectBuilder<Time>> fn)The time when the trained model was created.API name:
create_time
-
defaultFieldMap
Any field map described in the inference configuration takes precedence.API name:
default_field_map
Adds all entries of
map
todefaultFieldMap
. -
defaultFieldMap
Any field map described in the inference configuration takes precedence.API name:
default_field_map
Adds an entry to
defaultFieldMap
. -
description
The free-text description of the trained model.API name:
description
-
estimatedHeapMemoryUsageBytes
The estimated heap usage in bytes to keep the trained model in memory.API name:
estimated_heap_memory_usage_bytes
-
estimatedOperations
The estimated number of operations to use the trained model.API name:
estimated_operations
-
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
-
inferenceConfig
public final BuilderT inferenceConfig(java.util.function.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
-
input
Required - The input field names for the model definition.API name:
input
-
input
public final BuilderT input(java.util.function.Function<TrainedModelConfigInput.Builder,ObjectBuilder<TrainedModelConfigInput>> fn)Required - The input field names for the model definition.API name:
input
-
licenseLevel
The license level of the trained model.API name:
license_level
-
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
-
metadata
public final BuilderT metadata(java.util.function.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
-
self
-