Example Airflow DAG for Google ML Engine service.
Module Contents
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airflow.providers.google.cloud.example_dags.example_mlengine.PROJECT_ID[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.MODEL_NAME[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.SAVED_MODEL_PATH[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.JOB_DIR[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.PREDICTION_INPUT[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.PREDICTION_OUTPUT[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.TRAINER_URI[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.TRAINER_PY_MODULE[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.SUMMARY_TMP[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.SUMMARY_STAGING[source]
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airflow.providers.google.cloud.example_dags.example_mlengine.hyperparams :Dict[str, Any][source]
