MLBugDetection

Most machine learning explainability packages requires both trained models and the training data to create Explainer objects that explain the model’s behavior. This package allows ceteris paribus analysis of features using only the trained model and one or more input samples.

Resources

• Source code on GitHub

• How to use? You can check the Tutorial

• Do you want to contribute? Check here

Topics

Here, you can see how to install the library and see all modules and functions.

• Installation
• Analysis Report
• Monotonicity Analysis
• Critical Values Analysis
• Calibration Analysis
• Sanity Check Analysis
• Load Data Module
• Load Model Module

Indices and tables

• Index

• Module Index

• Search Page