rtichoke

rtichoke is a Python library for visualizing the performance of predictive models. It provides a flexible and intuitive way to create a variety of common evaluation plots, including:

• ROC Curves
• Precision-Recall Curves
• Gains and Lift Charts
• Decision Curves

The library is designed to be easy to use, while still offering a high degree of control over the final plots.

Key Features

• Simple API: Create complex visualizations with just a few lines of code.
• Time-to-Event Analysis: Native support for models with time-dependent outcomes, including censoring and competing risks.
• Interactive Plots: Built on Plotly for interactive, publication-quality figures.
• Flexible Data Handling: Works seamlessly with NumPy and Polars.

Documentation

For a complete guide to the library, including a "Getting Started" tutorial and a full API reference, please see the official documentation.

(Note: The documentation URL will need to be updated once the website is deployed.)