User Guide

• Streaming classification
  • Getting started with classification
  • Evaluating classifiers in CapyMOA
  • Creating a new classifier in CapyMOA
  • Parallel ensembles
• Streaming drift detection
  • Drift Detection in CapyMOA
  • Simulating concept drifts with the DriftStream API
  • Optimizing Drift Detectors via Leave-One-Dataset-Out Cross-Validation
  • Data Drift Detection in CapyMOA
• Streaming regression
  • Getting started with regression
  • Evaluating regressors in CapyMOA
• Streaming clustering
  • Clustering tutorial
• Streaming anomaly detection
  • Anomaly Detection
• Online continual learning
  • Online continual learning
  • Online Continual Learning and Event Handlers
• Streaming semi-supervised learning
  • Semi-supervised Learning
• Streaming automated machine learning
  • Automated machine learning
• Streaming uncertainty estimation
  • Prediction Intervals for Data Streams
• Streaming feature importance
  • Feature Importance Tutorial
• Common functionality
  • Using sklearn with CapyMOA
  • Using PyTorch with CapyMOA
  • Exploring advanced features
  • Pipelines and transformers
  • Save and Load a Model

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”