The example DAGs don't appear on the DAGs page by default. Once the installation is complete and the web server starts (after approximately one minute), you should be able to access Airflow at
Airflow docker emr install#
To install the DataRobot provider, you can run the following command: The DataRobot provider for Apache Airflow requires an environment with the following dependencies installed: For more information, see the DataRobot Python package documentation. The integration uses the DataRobot Python API Client, which communicates with DataRobot instances via REST API. For more information on using and developing provider packages, see the Apache Airflow documentation. It is also listed in the Astronomer Registry.
The DataRobot provider for Apache Airflow is a Python package built from source code available in a public GitHub repository and published in PyPi (The Python Package Index).
Airflow docker emr how to#
In addition, this guide shows you how to import example DAG files from the airflow-provider-datarobot repository so that you can quickly implement a variety of DataRobot pipelines. This pipeline includes creating a project, training models, deploying a model, scoring predictions, and returning target and feature drift data. This quickstart guide on the DataRobot provider for Apache Airflow illustrates the setup and configuration process by implementing a basic Apache Airflow DAG (Directed Acyclic Graph) to orchestrate an end-to-end DataRobot AI pipeline. For example, you can retrain and redeploy your models on a schedule, on model performance degradation, or using a sensor that triggers the pipeline in the presence of new data. The combined capabilities of DataRobot MLOps and Apache Airflow provide a reliable solution for retraining and redeploying your models. > Apache Airflow DataRobot provider for Apache Airflow ¶
Run Batch Prediction jobs from Azure Blob Storageĭeploy and monitor DataRobot models in Azure Kubernetes Serviceĭeploy and monitor Spark models with DataRobot MLOpsĭeploy and monitor ML.NET models with DataRobot MLOpsĬreate a connection from Airflow to DataRobotĪnti-Money Laundering (AML) Alert Scoring Use DataRobot Prime models with AWS Lambda
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