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Using Xgboost In Azure ML Studio

Published 2016-09-29 by Kevin Feasel

Koos van Strien wants to use the xgboost model in Azure ML Studio:

Because the high-level path of bringing trained R models from the local R environment towards the cloud Azure ML is almost identical to the Python one I showed two weeks ago, I use the same four steps to guide you through the process:

  1. Export the trained model

  2. Zip the exported files

  3. Upload to the Azure ML environment

  4. Embed in your Azure ML solution

Read the whole thing.

Published in Cloud, Machine Learning and R