Package com.hashicorp.cdktf.providers.google.vertex_ai_index_endpoint_deployed_index

Class VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec.Builder

java.lang.Object

com.hashicorp.cdktf.providers.google.vertex_ai_index_endpoint_deployed_index.VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec.Builder

All Implemented Interfaces:

software.amazon.jsii.Builder<VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec>

Enclosing interface:

VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec

@Stability(Stable)
public static final class VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec.Builder
extends Object
implements software.amazon.jsii.Builder<VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec>

A builder for VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec	build()	Builds the configured instance.
VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec.Builder	machineType(String machineType)	Sets the value of VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec.getMachineType()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

machineType

@Stability(Stable)
public VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec.Builder machineType(String machineType)

Sets the value of VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec.getMachineType()

Parameters:

machineType - The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For [DeployedModel](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints#DeployedModel) this field is optional, and the default value is n1-standard-2. For [BatchPredictionJob](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.batchPredictionJobs#BatchPredictionJob) or as part of [WorkerPoolSpec](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/CustomJobSpec#WorkerPoolSpec) this field is required. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_index_endpoint_deployed_index#machine_type VertexAiIndexEndpointDeployedIndex#machine_type}

Returns:

this

build

@Stability(Stable)
public VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec build()

Builds the configured instance.

Specified by:

build in interface software.amazon.jsii.Builder<VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec>

Returns:

a new instance of VertexAiIndexEndpointDeployedIndexDedicatedResourcesMachineSpec

Throws:

NullPointerException - if any required attribute was not provided