Tutorials

These tutorials will show you how to get started with the CapyMOA library.

Tutorials:

• 0. Getting started with CapyMOA
• 1. Evaluating supervised learners in CapyMOA
• 2. Using sklearn with CapyMOA
• 3. Using PyTorch with CapyMOA
• 4. Simulating concept drifts with the DriftStream API
• 5. Creating a new classifier in CapyMOA
• 6. Exploring advanced features
• 7. Pipelines and transformers
• 8. Prediction Intervals for Data Streams
• 9. Automated machine learning
• 10. Online continual learning

Extra Tutorials:

• Semi-supervised Learning
• Anomaly Detection
• Drift Detection in CapyMOA
• Parallel ensembles
• Save and Load a Model
• Clustering tutorial

Talks

Talks and workshops on CapyMOA:

• PAKDD 2025 “Practical Online Continual Learning”

• ECML/PAKDD 2024 “Navigating Complex Machine Learning Challenges in Streaming Data - A Hands-On Tutorial”

• Kiwi PyCon 2024 “Data Stream AI”

• IJCAI 2024 “Machine Learning for Streaming Data”

• PAKDD 2024 “Machine Learning for Streaming Data”

• KDD 2024 “Practical Machine Learning for Streaming Data”