Package co.elastic.clients.elasticsearch.ml

Class PutTrainedModelRequest.Builder

java.lang.Object

co.elastic.clients.elasticsearch.ml.PutTrainedModelRequest.Builder

All Implemented Interfaces:

ObjectBuilder<PutTrainedModelRequest>

Enclosing class:

PutTrainedModelRequest

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

Builder for PutTrainedModelRequest.

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
PutTrainedModelRequest.Builder	addTags(java.lang.String value)	Add a value to tags(List), creating the list if needed.
PutTrainedModelRequest	build()	Builds a PutTrainedModelRequest.
PutTrainedModelRequest.Builder	compressedDefinition(java.lang.String value)	The compressed (GZipped and Base64 encoded) inference definition of the model.
PutTrainedModelRequest.Builder	definition(Definition value)	The inference definition for the model.
PutTrainedModelRequest.Builder	definition(java.util.function.Function<Definition.Builder,ObjectBuilder<Definition>> fn)	The inference definition for the model.
PutTrainedModelRequest.Builder	description(java.lang.String value)	A human-readable description of the inference trained model.
PutTrainedModelRequest.Builder	inferenceConfig(InferenceConfig value)	Required - The default configuration for inference.
PutTrainedModelRequest.Builder	inferenceConfig(java.util.function.Function<InferenceConfig.Builder,ObjectBuilder<InferenceConfig>> fn)	Required - The default configuration for inference.
PutTrainedModelRequest.Builder	input(Input value)	Required - The input field names for the model definition.
PutTrainedModelRequest.Builder	input(java.util.function.Function<Input.Builder,ObjectBuilder<Input>> fn)	Required - The input field names for the model definition.
PutTrainedModelRequest.Builder	metadata(JsonData value)	An object map that contains metadata about the model.
PutTrainedModelRequest.Builder	modelId(java.lang.String value)	Required - The unique identifier of the trained model.
PutTrainedModelRequest.Builder	tags(java.lang.String... value)	An array of tags to organize the model.
PutTrainedModelRequest.Builder	tags(java.util.List<java.lang.String> value)	An array of tags to organize the model.

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

modelId

public PutTrainedModelRequest.Builder modelId(java.lang.String value)

Required - The unique identifier of the trained model.

API name: model_id

compressedDefinition

public PutTrainedModelRequest.Builder compressedDefinition(@Nullable
java.lang.String value)

The compressed (GZipped and Base64 encoded) inference definition of the model. If compressed_definition is specified, then definition cannot be specified.

API name: compressed_definition

definition

public PutTrainedModelRequest.Builder definition(@Nullable
Definition value)

The inference definition for the model. If definition is specified, then compressed_definition cannot be specified.

API name: definition

definition

public PutTrainedModelRequest.Builder definition(java.util.function.Function<Definition.Builder,ObjectBuilder<Definition>> fn)

The inference definition for the model. If definition is specified, then compressed_definition cannot be specified.

API name: definition

description

public PutTrainedModelRequest.Builder description(@Nullable
java.lang.String value)

A human-readable description of the inference trained model.

API name: description

inferenceConfig

public PutTrainedModelRequest.Builder inferenceConfig(InferenceConfig value)

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 PutTrainedModelRequest.Builder 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

public PutTrainedModelRequest.Builder input(Input value)

Required - The input field names for the model definition.

API name: input

input

public PutTrainedModelRequest.Builder input(java.util.function.Function<Input.Builder,ObjectBuilder<Input>> fn)

Required - The input field names for the model definition.

API name: input

metadata

public PutTrainedModelRequest.Builder metadata(@Nullable
JsonData value)

An object map that contains metadata about the model.

API name: metadata

tags

public PutTrainedModelRequest.Builder tags(@Nullable
java.util.List<java.lang.String> value)

An array of tags to organize the model.

API name: tags

tags

public PutTrainedModelRequest.Builder tags(java.lang.String... value)

An array of tags to organize the model.

API name: tags

addTags

public PutTrainedModelRequest.Builder addTags(java.lang.String value)

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

build

public PutTrainedModelRequest build()

Builds a PutTrainedModelRequest.

Specified by:

build in interface ObjectBuilder<PutTrainedModelRequest>

Throws:

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