sofia-ml

sofia-ml is an open-source suite of fast, incremental machine learning algorithms designed for researchers and practitioners. It supports efficient model training for classification, regression, and ranking on large, sparse data sets using algorithms like Pegasos SVM, SGD-SVM, Passive-Aggressive Perceptron, ROMMA, and Logistic Regression. The tool offers a command-line interface and a developer API for integrating model training and prediction in new applications, as well as a k-means clustering module for unsupervised learning.