AutoMLPredictOperator
GoogleRuns prediction operation on Google Cloud AutoML.
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_idRequiredName of the model requested to serve the batch prediction.
payloadRequiredName od the model used for the prediction.
project_idID of the Google Cloud project where model is located if None then default project_id is used.
locationRequiredThe location of the project.
operation_paramsAdditional domain-specific parameters for the predictions.
retryA retry object used to retry requests. If None is specified, requests will not be retried.
timeoutThe amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadataAdditional metadata that is provided to the method.
gcp_conn_idThe connection ID to use to connect to Google Cloud.
impersonation_chainOptional 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
Runs prediction operation on Google Cloud AutoML.
See also
For more information on how to use this operator, take a look at the guide: Making Predictions