Bolt

Bolt is an open-source machine learning tool for discriminative learning of linear predictors, such as Support Vector Machines (SVM) and Logistic Regression, using fast online learning algorithms. It is specifically designed to address large-scale, high-dimensional, and sparse problems commonly found in information retrieval and natural language processing. Bolt supports multiple loss functions and regularization approaches, and offers trainers for both binary and multi-class classifications, achieving state-of-the-art performance on benchmark datasets.