MLEngineSetDefaultVersionOperator

Google

Sets a version in the model.

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Last Updated: Mar. 22, 2021

Access Instructions

Install the Google provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.

Parameters

model_namestrThe name of the Google Cloud ML Engine model that the version belongs to. (templated)
version_namestrA name to use for the version being operated upon. (templated)
project_idstrThe Google Cloud project name to which MLEngine model belongs. If set to None or missing, the default project_id from the Google Cloud connection is used. (templated)
gcp_conn_idstrThe connection ID to use when fetching connection info.
delegate_tostrThe account to impersonate using domain-wide delegation of authority, if any. For this to work, the service account making the request must have domain-wide delegation enabled.
impersonation_chainUnion[str, Sequence[str]]Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).

Documentation

Sets a version in the model.

See also

For more information on how to use this operator, take a look at the guide: Managing model versions

The model should be specified by model_name to be the default. The name of the version should be specified in the version_name parameter.

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