###############################################
4. Fabwave - Part Classification using HOOPS AI
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This notebook demonstrates how to use HOOPS AI to build a parts classification model using the Fabwave dataset.

Run the notebook within the ``hoops_ai_cpu`` environment outlined in :doc:`/getting_started/evaluate`.

The code and resources for this tutorial can be found in the `HOOPS-AI-Tutorials <https://github.com/techsoft3d/HOOPS-AI-tutorials/tree/main>`__ Github repository.

.. hint::
   Launch ``jupyter lab notebooks/3a_ETL_pipeline_using_flow_fabewave.ipynb`` from the bundle root to experiment with the sample workflow.

.. toctree::
   :maxdepth: 1
   :titlesonly:

   /tutorials/hoops_ai_tutorials/notebooks/3a_ETL_pipeline_using_flow_fabewave.ipynb