Bolasso Algorithm Implementation for Feature Selection and Prediction

This implementation of Francis R. Bach's Bolasso algorithm provides robust feature selection and predictive modeling capabilities for high-dimensional problems. The algorithm leverages bootstrap sampling with regularization regression techniques, utilizing Karl Skoglund's lars (least angle regression) implementation for efficient coefficient path computation and feature ranking.