Welcome to the Helix user documentation

Helix lets you rapidly develop machine learning models of many kinds, and evaluate their performance down to a feature-by-feature level.

You can create models to solve either classification problems (e.g. is this image a cat 🐱 or a dog 🐶?) or regression problems (e.g. what will be the price of gold 🏅 tomorrow 📈?).

Your models can then be evaluated by general measures, such as accuracy, and by individual feature metrics, such as SHAP.