Class DeployModelRequest (1.18.0)

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

Request message for EndpointService.DeployModel.

Attributes

NameDescription
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_v1.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 Mapping[str, int]
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.

Inheritance

builtins.object > proto.message.Message > DeployModelRequest

Classes

TrafficSplitEntry

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

The abstract base class for a message.

Parameters
NameDescription
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.