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BigFrames general remote models.
Classes
VertexAIModel
VertexAIModel(
endpoint: str,
input: typing.Mapping[str, str],
output: typing.Mapping[str, str],
session: typing.Optional[bigframes.session.Session] = None,
connection_name: typing.Optional[str] = None,
)
Remote model from a Vertex AI https endpoint. User must specify https endpoint, input schema and output schema. How to deploy a model in Vertex AI https://cloud.google.com/bigquery/docs/bigquery-ml-remote-model-tutorial#Deploy-Model-on-Vertex-AI.
Parameters | |
---|---|
Name | Description |
endpoint |
str
Vertex AI https endpoint. |
session |
bigframes.Session or None
BQ session to create the model. If None, use the global default session. |
connection_name |
str or None
Connection to connect with remote service. str of the format <PROJECT_NUMBER/PROJECT_ID>.
|