Introduction

Tab-right is a Python package for easy, model-agnostic analysis of tabular data for inference models (ML and non-ML). It focuses on diagnostics and interpretability using only model predictions and features—no need for model internals.

Key Features

• Segment tabular data by categorical or continuous features

• Compute custom metrics for each segment (classification, regression, etc.)

• Vectorized, efficient implementation for large datasets

• Probability mode for multi-class or probabilistic outputs

• Simple API for integration into any workflow

Installation

Install the latest version from PyPI:

pip install tab-right