Model Validation Toolkit

The Model Validation Toolkit is a library for model validation, metaanalysis, and monitoring.

Overview

• Getting Started
• Contributing
• About

User Guides

• Supervisor User Guide
• Credibility User Guide
• Thresholding User Guide
• Interprenet User Guide
• Sobol User Guide
• Bias-Variance User Guide

Divergence Tutorials

• Airlines Dataset: Divergence Applications
• Notes on Using Divergence Functions
• Handling Categorical Data
• Dataset Bug Detection
• Training Dataset Drift Detection

Credibility Tutorials

• Assessing Credibility From Sample Size

Thresholding Tutorials

• Introduction to Adaptive Thresholding

Interprenet Tutorials

• Introduction to Interprenet

Bias and Metrics Tutorials

• Countering Sample Bias

Bias-Variance Decomposition Tutorials

• Bias-Variance Decomposition for Classification Problems
• Bias-Variance Decomposition for Regression Problems
• Bias-Variance Visualizations

Python API

• supervisor
• credibility
• thresholding
• interprenet
• sobol
• metrics
• bias_variance

Indices and tables

• Index

• Module Index