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
• Pipelines and Transformers
• 1. Running onlineBagging without any preprocessing
• 2. Transforming instances using pipelines
• 2. Online Bagging using pipelines and transformers
• 3. RegressorPipeline
• 4. Adding a drift detector to the pipeline
• 5. Pipelines within pipelines
• 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:

• 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”