agentic-imodels

What problem does it solve?

The Skill provides interpretable tabular regressors with a sklearn-compatible API, exposing human- and LLM-readable representations of the fitted model.

Core Features & Use Cases

• Sklearn-compatible regressor library with dynamic, interpretable outputs including linear coefficients, hinge terms, and piecewise tables for each feature.
• Printable model representations enable explanations to stakeholders and automated evaluation by LLMs.
• Use cases include model auditing, regulatory communication, and rapid prototyping of explainable ML.

Quick Start

Train an interpretable regressor on your dataset and print the model to reveal a readable equation or rule set.