May 26, 2018

Library for Large Linear Classification

LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized classifiers L2-loss linear SVM, L1-loss linear SVM, and logistic regression, L1-regularized classifiers L2-loss linear SVM and logistic regression.

Main features of LIBLINEAR include

  • Same data format as LIBSVM and similar usage
  • One-vs-the rest and Crammer & Singer multi-class classification
  • Cross validation for model selection
  • Probability estimates logistic regression only
  • Weights for unbalanced data

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