Exporting models


This only applies to models trained using “In-memory (Python)” engine, both for prediction and clustering. All algorithms are not supported by this feature.

Once a model has been trained, you can export it as a Jupyter notebook.

DSS will automatically generate a Jupyter (Python) notebook with code to reproduce a model similar to the model that you trained.

To generate a Jupyter notebook:

  • Go to the trained model you with to export
  • Click the dropdown icon next to the “Deploy” button
  • Select “Export to Jupyter notebook”


This generated notebook is for educational and explanatory purposes only. In particular, this notebook does not reproduce all preprocessing capabilities of DSS, and is only a best-effort approximation of the model trained in DSS.

To use the exact model trained by DSS, deploy it to the Flow and use API node or scoring recipes