Class Endpoint (1.17.0)

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

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

Attributes

Name	Description
name	`str` Output only. The resource name of the Endpoint.
display_name	`str` Required. The display name of the Endpoint. The name can be up to 128 characters long and can be consist of any UTF-8 characters.
description	`str` The description of the Endpoint.
deployed_models	`Sequence[google.cloud.aiplatform_v1.types.DeployedModel]` Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.
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 a DeployedModel's ID is not listed in this map, then it receives no traffic. The traffic percentage values must add up to 100, or map must be empty if the Endpoint is to not accept any traffic at a moment.
etag	`str` Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels	`Mapping[str, str]` The labels with user-defined metadata to organize your Endpoints. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
create_time	`google.protobuf.timestamp_pb2.Timestamp` Output only. Timestamp when this Endpoint was created.
update_time	`google.protobuf.timestamp_pb2.Timestamp` Output only. Timestamp when this Endpoint was last updated.
encryption_spec	`google.cloud.aiplatform_v1.types.EncryptionSpec` Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key.
network	`str` The full name of the Google Compute Engine `network
enable_private_service_connect	`bool` Deprecated: If true, expose the Endpoint via private service connect. Only one of the fields, network or enable_private_service_connect, can be set.
model_deployment_monitoring_job	`str` Output only. Resource name of the Model Monitoring job associated with this Endpoint if monitoring is enabled by [CreateModelDeploymentMonitoringJob][]. Format: ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}``
predict_request_response_logging_config	`google.cloud.aiplatform_v1.types.PredictRequestResponseLoggingConfig` Configures the request-response logging for online prediction.

Inheritance

builtins.object > proto.message.Message > Endpoint

Classes

LabelsEntry

LabelsEntry(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.

TrafficSplitEntry

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.