NannyML
v0.4.0
Contents:
Quickstart
Tutorials
Setting Up
Estimating Performance
Monitoring Realized Performance
Comparing Estimated and Realized Performance
Detecting Data Drift
Adjusting Plots
How It Works
Examples
Troubleshooting
Datasets
Glossary
API reference
Contributing
NannyML
»
Tutorials
Edit on GitHub
Tutorials
Setting Up
Data requirements
Providing metadata
Chunking
Estimating Performance
Why Perform Performance Estimation
Binary Classification
Multiclass Classification
Insights and Follow Ups
Monitoring Realized Performance
Why Monitoring Realized Performance
Binary Classification
Multiclass Classification
Insights and Follow Ups
Comparing Estimated and Realized Performance
Detecting Data Drift
Univariate Drift Detection
Multivariate Data Drift Detection
Drift Detection for Model Outputs
Drift Detection for Model Targets
Adjusting Plots
Read the Docs
v: v0.4.0
Versions
latest
stable
v0.4.0
v0.3.2
v0.3.1
v0.3.0
v0.2.1
v0.2.0
main
Downloads
On Read the Docs
Project Home
Builds