NannyML
v0.4.1
Contents:
Quickstart
Tutorials
How It Works
Metadata extraction
Data Reconstruction with PCA
Confidence-based Performance Estimation (CBPE)
Chunking data
Examples
Troubleshooting
Datasets
Glossary
API reference
Contributing
NannyML
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How It Works
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How It Works
Metadata extraction
Naming conventions
Feature type detection
Data Reconstruction with PCA
Limitations of Univariate Drift Detection
Data Reconstruction with PCA
Understanding Reconstruction Error with PCA
Confidence-based Performance Estimation (CBPE)
CBPE algorithm
Assumptions and Limitations
Appendix: Probability calibration
Chunking data
Chunking considerations
Minimum chunk size
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v: v0.4.1
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