Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::Endpoint (v0.27.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Endpoint.

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

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#create_time

def create_time() -> ::Google::Protobuf::Timestamp
Returns

#deployed_models

def deployed_models() -> ::Array<::Google::Cloud::AIPlatform::V1::DeployedModel>
Returns

#description

def description() -> ::String
Returns
  • (::String) — The description of the Endpoint.

#description=

def description=(value) -> ::String
Parameter
  • value (::String) — The description of the Endpoint.
Returns
  • (::String) — The description of the Endpoint.

#display_name

def display_name() -> ::String
Returns
  • (::String) — Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.

#display_name=

def display_name=(value) -> ::String
Parameter
  • value (::String) — Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Returns
  • (::String) — Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.

#enable_private_service_connect

def enable_private_service_connect() -> ::Boolean
Returns
  • (::Boolean) — Deprecated: If true, expose the Endpoint via private service connect.

    Only one of the fields, network or