Publication | Closed Access
LIBLINEAR: A Library for Large Linear Classification
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2008
Year
EngineeringMachine LearningMachine Learning ToolText MiningSupport Vector MachineClassification MethodOpen Source LibraryData ScienceData MiningPattern RecognitionMachine VisionAutomatic ClassificationPredictive AnalyticsKnowledge DiscoveryComputer ScienceLarge-scale Linear ClassificationData ClassificationLogistic RegressionLarge Linear Classification
LIBLINEAR is an open‑source library for large‑scale linear classification that supports logistic regression and linear SVMs, and it offers comprehensive documentation for both beginners and advanced users. The authors aim to provide easy‑to‑use command‑line tools and library calls for users and developers. The library delivers these tools through a set of command‑line utilities and API calls that simplify integration and usage. Experiments show that LIBLINEAR is highly efficient on large sparse datasets.
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-line tools and library calls for users and developers. Comprehensive documents are available for both beginners and advanced users. Experiments demonstrate that LIBLINEAR is very efficient on large sparse data sets.