MLEngineCreateVersionOperator

Google

Creates a new version in the model

View Source

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)
versiondictA dictionary containing the information about the version. (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

Creates a new version in the model

See also

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

Model should be specified by model_name, in which case the version parameter should contain all the information to create that version

Was this page helpful?