NannyML
v0.3.2
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
NannyML
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User Guides
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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
Read the Docs
v: v0.3.2
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