NannyML
v0.3.0

Contents:

  • Quick Start Guide
  • User Guides
    • Setting up
    • Chunking data
    • Data Drift Detection
    • Performance Estimation
    • Performance Monitoring
    • Example on real world dataset
  • Deep Dives
  • Glossary
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User Guides

  • Setting up
    • On data, metadata and observations
    • Data requirements
    • Providing metadata
  • Chunking data
    • Why do we need chunks?
    • Creating chunks
    • Chunks on plots with results
    • Additional considerations
  • Data Drift Detection
    • What is data drift and why is it important?
    • Data Partitions
    • Drift alerts
    • Detecting drift in model inputs
    • Drift detection for model outputs
    • Drift detection for model targets
  • Performance Estimation
    • Prepare the data
    • Fit estimator and estimate
    • View the results
    • Compare with the actual performance
  • Performance Monitoring
    • Prepare the data
    • Fit calculator and calculate
    • View the results
  • Example on real world dataset
    • Load and prepare data
    • Performance Estimation
    • Comparison with the actual performance
    • Drift detection
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