Google Cloud Ai Platform V1 Client - Class MutateDeployedModelRequest (0.17.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class MutateDeployedModelRequest.

Request message for EndpointService.MutateDeployedModel.

Generated from protobuf message google.cloud.aiplatform.v1.MutateDeployedModelRequest

Methods

build

Parameters
Name	Description
`endpoint`	`string` Required. The name of the Endpoint resource into which to mutate a DeployedModel. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}` Please see {@see \Google\Cloud\AIPlatform\V1\EndpointServiceClient::endpointName()} for help formatting this field.
`deployedModel`	`Google\Cloud\AIPlatform\V1\DeployedModel` Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be mutated: `min_replica_count` in either DedicatedResources or AutomaticResources `max_replica_count` in either DedicatedResources or AutomaticResources autoscaling_metric_specs `disable_container_logging` (v1 only) `enable_container_logging` (v1beta1 only)
`updateMask`	`Google\Protobuf\FieldMask` Required. The update mask applies to the resource. See google.protobuf.FieldMask.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\MutateDeployedModelRequest`

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ endpoint`	`string` Required. The name of the Endpoint resource into which to mutate a DeployedModel. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
`↳ deployed_model`	`Google\Cloud\AIPlatform\V1\DeployedModel` Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be mutated: * `min_replica_count` in either DedicatedResources or AutomaticResources * `max_replica_count` in either DedicatedResources or AutomaticResources * autoscaling_metric_specs * `disable_container_logging` (v1 only) * `enable_container_logging` (v1beta1 only)
`↳ update_mask`	`Google\Protobuf\FieldMask` Required. The update mask applies to the resource. See google.protobuf.FieldMask.

getEndpoint

Required. The name of the Endpoint resource into which to mutate a DeployedModel. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns
Type	Description
`string`

setEndpoint

Required. The name of the Endpoint resource into which to mutate a DeployedModel. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getDeployedModel

Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be mutated:

min_replica_count in either DedicatedResources or AutomaticResources
max_replica_count in either DedicatedResources or AutomaticResources
autoscaling_metric_specs
disable_container_logging (v1 only)
enable_container_logging (v1beta1 only)

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\DeployedModel\|null`

hasDeployedModel

clearDeployedModel

setDeployedModel

Required. The DeployedModel to be mutated within the Endpoint. Only the following fields can be mutated:

min_replica_count in either DedicatedResources or AutomaticResources
max_replica_count in either DedicatedResources or AutomaticResources
autoscaling_metric_specs
disable_container_logging (v1 only)
enable_container_logging (v1beta1 only)

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\DeployedModel`

Returns
Type	Description
`$this`

getUpdateMask

Required. The update mask applies to the resource. See google.protobuf.FieldMask.

Returns
Type	Description
`Google\Protobuf\FieldMask\|null`

hasUpdateMask

clearUpdateMask

setUpdateMask

Required. The update mask applies to the resource. See google.protobuf.FieldMask.

Parameter
Name	Description
`var`	`Google\Protobuf\FieldMask`

Returns
Type	Description
`$this`