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