Google Cloud Ai Platform V1 Client - Class VertexPredictionEndpoint (1.18.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class VertexPredictionEndpoint.

Config representing a model hosted on Vertex Prediction Endpoint.

Generated from protobuf message google.cloud.aiplatform.v1.RagEmbeddingModelConfig.VertexPredictionEndpoint

Namespace

Google \ Cloud \ AIPlatform \ V1 \ RagEmbeddingModelConfig

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ endpoint`	`string` Required. The endpoint resource name. Format: `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}` or `projects/{project}/locations/{location}/endpoints/{endpoint}`
`↳ model`	`string` Output only. The resource name of the model that is deployed on the endpoint. Present only when the endpoint is not a publisher model. Pattern: `projects/{project}/locations/{location}/models/{model}`
`↳ model_version_id`	`string` Output only. Version ID of the model that is deployed on the endpoint. Present only when the endpoint is not a publisher model.

getEndpoint

Required. The endpoint resource name.

Format: projects/{project}/locations/{location}/publishers/{publisher}/models/{model} or projects/{project}/locations/{location}/endpoints/{endpoint}

Returns
Type	Description
`string`

setEndpoint

Required. The endpoint resource name.

Format: projects/{project}/locations/{location}/publishers/{publisher}/models/{model} or projects/{project}/locations/{location}/endpoints/{endpoint}

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getModel

Output only. The resource name of the model that is deployed on the endpoint. Present only when the endpoint is not a publisher model.

Pattern: projects/{project}/locations/{location}/models/{model}

Returns
Type	Description
`string`

setModel