Machine Learning Feature Selection for Predictive Modeling

Develop a JavaScript library for automated feature selection and ranking using advanced machine learning techniques. The solution should support multiple selection algorithms including mutual information, recursive feature elimination, and gradient-based importance scoring. Create a flexible pipeline that can handle high-dimensional datasets, provide interpretable feature importance visualizations, and generate statistically robust feature subsets for predictive modeling.