Google Cloud Ai Platform V1 Client - Class DeployModelRequest (0.18.0)

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

Request message for EndpointService.DeployModel.

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

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
NameDescription
data array

Optional. Data for populating the Message object.

↳ endpoint string

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

↳ deployed_model Google\Cloud\AIPlatform\V1\DeployedModel

Required. The DeployedModel to be created within the Endpoint. Note that Endpoint.traffic_split must be updated for the DeployedModel to start receiving traffic, either as part of this call, or via EndpointService.UpdateEndpoint.

↳ traffic_split array|Google\Protobuf\Internal\MapField

A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel. If this field is non-empty, then the Endpoint's traffic_split will be overwritten with it. To refer to the ID of the just being deployed Model, a "0" should be used, and the actual ID of the new DeployedModel will be filled in its place by this method. The traffic percentage values must add up to 100. If this field is empty, then the Endpoint's traffic_split is not updated.

getEndpoint

Required. The name of the Endpoint resource into which to deploy a Model.

Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns
TypeDescription
string

setEndpoint

Required. The name of the Endpoint resource into which to deploy a Model.

Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Parameter
NameDescription
var string
Returns
TypeDescription
$this

getDeployedModel

Required. The DeployedModel to be created within the Endpoint. Note that Endpoint.traffic_split must be updated for the DeployedModel to start receiving traffic, either as part of this call, or via EndpointService.UpdateEndpoint.

Returns
TypeDescription
Google\Cloud\AIPlatform\V1\DeployedModel|null

hasDeployedModel

clearDeployedModel

setDeployedModel

Required. The DeployedModel to be created within the Endpoint. Note that Endpoint.traffic_split must be updated for the DeployedModel to start receiving traffic, either as part of this call, or via EndpointService.UpdateEndpoint.

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\DeployedModel
Returns
TypeDescription
$this

getTrafficSplit

A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

If this field is non-empty, then the Endpoint's traffic_split will be overwritten with it. To refer to the ID of the just being deployed Model, a "0" should be used, and the actual ID of the new DeployedModel will be filled in its place by this method. The traffic percentage values must add up to 100. If this field is empty, then the Endpoint's traffic_split is not updated.

Returns
TypeDescription
Google\Protobuf\Internal\MapField

setTrafficSplit

A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

If this field is non-empty, then the Endpoint's traffic_split will be overwritten with it. To refer to the ID of the just being deployed Model, a "0" should be used, and the actual ID of the new DeployedModel will be filled in its place by this method. The traffic percentage values must add up to 100. If this field is empty, then the Endpoint's traffic_split is not updated.

Parameter
NameDescription
var array|Google\Protobuf\Internal\MapField
Returns
TypeDescription
$this

static::build

Parameters
NameDescription
endpoint string

Required. The name of the Endpoint resource into which to deploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint} Please see Google\Cloud\AIPlatform\V1\EndpointServiceClient::endpointName() for help formatting this field.

deployedModel Google\Cloud\AIPlatform\V1\DeployedModel

Required. The DeployedModel to be created within the Endpoint. Note that Endpoint.traffic_split must be updated for the DeployedModel to start receiving traffic, either as part of this call, or via EndpointService.UpdateEndpoint.

trafficSplit array

A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

If this field is non-empty, then the Endpoint's traffic_split will be overwritten with it. To refer to the ID of the just being deployed Model, a "0" should be used, and the actual ID of the new DeployedModel will be filled in its place by this method. The traffic percentage values must add up to 100.

If this field is empty, then the Endpoint's traffic_split is not updated.

Returns
TypeDescription
Google\Cloud\AIPlatform\V1\DeployModelRequest