sofia-ml

sofia-ml is a command-line toolkit and library for fast, incremental machine learning on large, sparse datasets. It enables researchers and practitioners to efficiently train and deploy models for classification, regression, ranking, and clustering, leveraging algorithms such as Pegasos SVM, SGD-SVM, Passive-Aggressive Perceptron, and mini-batch k-means. The suite is designed for use on the Unix command line with no external dependencies, offering both command-line utilities and an API for integration in custom applications.