Contents Menu Expand Light mode Dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Skip to content
CUSUM 0.1.0 documentation
CUSUM 0.1.0 documentation

User Documentation

  • CUSUM Project
  • Getting Started with CUSUM
  • Usage
  • Get the Code

Technical Documentation

  • Data Generators
    • Change Point Generator
    • Data Streams Generator
  • CUSUM Detectors
    • Cusum Algorithms
      • Vanilla CUSUM Detector Class
      • Examples
      • Page-Hinkley Test Detector Class
      • Examples
      • Probabilistic CUSUM Detector Class
      • Examples
      • Chart CUSUM Detector
      • Examples
      • KS-CUM Detector Class
      • Examples
      • PC1 CUSUM Detector
      • Example Usage
  • ML Model
    • Naive Models
      • Persistent Model
    • Instance-based Learning Models
      • RLS Learning Model
      • SGD Learning Model
      • RLS-CUSUM
      • SGD-CUSUM
    • Lazy Learning Models
    • Batch-based Learning Models
  • Recursive Filters
    • Recursive Average Filter
    • Low Pass Filter
    • Rolling Average Filter
  • Alerting Rules
    • Majority Vote Alerting

Project Information

  • Contributions
  • FAQ
  • References
Back to top
View this page
Edit this page

Instance-based Learning ModelsΒΆ

This module contains the core instance-based ML model classes.

  • RLS Learning Model
  • SGD Learning Model
  • RLS-CUSUM
  • SGD-CUSUM
Next
RLS Learning Model
Previous
Persistent Model
Copyright ©
Made with Sphinx and @pradyunsg's Furo