- 1.25.0 (latest)
- 1.24.0
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
- 1.15.0
- 1.14.0
- 1.13.0
- 1.12.0
- 1.11.1
- 1.10.0
- 1.9.0
- 1.8.0
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- 1.6.0
- 1.5.0
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- 1.2.0
- 1.1.0
- 1.0.0
- 0.26.0
- 0.25.0
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- 0.22.0
- 0.21.0
- 0.20.1
- 0.19.2
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.1
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.0
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
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. |
input |
Mapping
Input schema:
|
output |
Mapping
Output label schema: |
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>.
|