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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
Model Validation Toolkit
  • Overview: module code

All modules for which code is available

  • mvtk.bias_variance.bias_variance
  • mvtk.bias_variance.bias_variance_parallel
  • mvtk.bias_variance.estimators.estimator_wrapper
  • mvtk.bias_variance.estimators.pytorch_estimator_wrapper
  • mvtk.bias_variance.estimators.sklearn_estimator_wrapper
  • mvtk.bias_variance.estimators.tensorflow_estimator_wrapper
  • mvtk.credibility
  • mvtk.interprenet
  • mvtk.metrics
  • mvtk.sobol
  • mvtk.supervisor.divergence.generators
  • mvtk.supervisor.divergence.metrics
  • mvtk.supervisor.divergence.nn
  • mvtk.supervisor.divergence.utils
  • mvtk.supervisor.processing
  • mvtk.supervisor.utils
  • mvtk.thresholding

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