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
Methods
__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 deploy a Model. Format: |
↳ 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 | |
|---|---|
| Type | Description |
string | |
setEndpoint
Required. The name of the Endpoint resource into which to deploy a Model.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$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 | |
|---|---|
| Type | Description |
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 | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\DeployedModel
|
| Returns | |
|---|---|
| Type | Description |
$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 | |
|---|---|
| Type | Description |
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 | |
|---|---|
| Name | Description |
var |
array|Google\Protobuf\Internal\MapField
|
| Returns | |
|---|---|
| Type | Description |
$this | |