Description
Large-scale linear classification helps machine-learning software train and use efficient models for sparse or high-dimensional data. It is useful for text classification, ranking, and research workflows that need fast linear methods.
This is a machine-learning library, not a data-labeling app. Model quality depends on training data, feature extraction, evaluation, and how the calling application uses predictions.