Exporting models

Note

This only applies to models trained using “In-memory (Python)” engine, both for prediction and clustering

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”

Warning

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