4. Fabwave - Part Classification using HOOPS AI

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 Evaluate & Install.

The code and resources for this tutorial can be found in the HOOPS-AI-Tutorials Github repository.

Hint

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

• Fabwave - Part Classification using HOOPS AI
• Data Transformation : Encoded data to be used as ml input
• Machine Learning Training