NannyML
v0.3.0

Contents:

  • Quick Start Guide
  • User Guides
  • Deep Dives
    • Minimum chunk size
    • Data Reconstruction with PCA
    • Confidence-based Performance Estimation
    • California Housing Dataset
  • Glossary
NannyML
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  • Deep Dives
  • Edit on GitHub

Deep Dives

  • Minimum chunk size
    • Minimum Chunk for Performance Estimation and Performance Monitoring
    • Minimum Chunk for Data Reconstruction
    • Minimum Chunk for Univariate Drift
  • Data Reconstruction with PCA
    • Data Drift in Multidimensional data
    • Data Reconstruction with PCA
    • Understanding Reconstruction Error with PCA
  • Confidence-based Performance Estimation
    • Introduction
    • Probability calibration
  • California Housing Dataset
    • Enriching the data
    • Training a Machine Learning Model
    • Meeting NannyML Data Requirements
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