xplainit 0.4

A library to generate natural language explanations of ML model predictions

xplainit

xplainit is an open-source Python library designed to generate natural language explanations for machine learning model predictions. This tool is especially useful for non-technical stakeholders who need to understand how features impact predictions made by models like Random Forest, XGBoost, or other models built using Scikit-learn, TensorFlow, or PyTorch.

Key Features

• Natural Language Explanations: Translates complex model outputs into easy-to-understand narratives.
• Model Support: Works with Scikit-learn models and is extensible for TensorFlow, PyTorch, and other machine learning frameworks.
• Feature Importance Visualization: Automatically generates feature importance charts.
• Easy to Use: Minimal configuration needed to integrate into any data science pipeline.

Table of Contents

• Installation
• Quick Start
• Supported Models
• Usage
• Contributing
• License

Installation

You can install xplainit directly from PyPi:

pip install xplainit