Class DeployModelRequest (0.7.1)

  DeployModelRequest 
 ( 
 mapping 
 = 
 None 
 , 
 * 
 , 
 ignore_unknown_fields 
 = 
 False 
 , 
 ** 
 kwargs 
 )

Request message for EndpointService.DeployModel .

Attributes

Name	Description
endpoint	`str` 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_v1beta1.types.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	`Sequence[ google.cloud.aiplatform_v1beta1.types.DeployModelRequest.TrafficSplitEntry ]` 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.

builtins.object > proto.message.Message > DeployModelRequest

  TrafficSplitEntry 
 ( 
 mapping 
 = 
 None 
 , 
 * 
 , 
 ignore_unknown_fields 
 = 
 False 
 , 
 ** 
 kwargs 
 )

The abstract base class for a message.

Parameters

Name	Description
kwargs	`dict` Keys and values corresponding to the fields of the message.
mapping	Union[dict, `.Message`] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	`Optional(bool)` If True, do not raise errors for unknown fields. Only applied if `mapping` is a mapping type or there are keyword parameters.