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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
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Recursive FiltersΒΆ

This module contains filter methods for smoothing time series data.

  • Recursive Average Filter
  • Low Pass Filter
  • Rolling Average Filter
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Recursive Average Filter
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Batch-based Learning Models
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