Azure¶
The sections within describe techniques for integrating Azure cloud services with DataRobot:
Topic | Description |
---|---|
Run Batch Prediction jobs from Azure Blob Storage | Running Batch Prediction jobs from Azure Blob Storage with the Batch Prediction API. |
Deploy and monitor DataRobot models in Azure Kubernetes Service | Deploying and monitoring DataRobot models on Azure Kubernetes Services (AKS) to create production scoring pipelines with the Portable Prediction Server (PPS). |
Deploy and monitor Spark models | Deploying and monitoring Spark models in DataRobot MLOps with the monitoring agent. |
Deploy and monitor ML.NET models | Deploying and monitoring ML.NET models in DataRobot MLOps with monitoring agent. |
Use Scoring Code with Azure ML | Importing Scoring Code models to Azure ML to make prediction requests with Azure. |
Updated December 6, 2024
Was this page helpful?
Great! Let us know what you found helpful.
What can we do to improve the content?
Thanks for your feedback!