liblinear-java
liblinear-java provides a Java version of LIBLINEAR for linear classification and regression models.
About liblinear-java
liblinear-java is a Java port of LIBLINEAR for large-scale regularized linear classification, regression and outlier detection. It stays close to the original C++ source code and provides Linear.train, Linear.predict and Linear.predictProbability for programmatic use, with Java 11 or later as the only requirement.
Use follows the original LIBLINEAR documentation, including LIBSVM data format with feature indexes starting from 1. The default solver can be slow when data is not scaled or C is large, and beginners with small datasets are advised to consider LIBSVM first.
Key features
- Java version of LIBLINEAR for linear classification and regression
- Handles L2- and L1-regularized logistic regression and SVM classification
- Handles L2- and L1-loss support vector regression tasks
- Includes one-class support vector machine for outlier detection
- Offers Linear.train, Linear.predict and Linear.predictProbability methods
- Requires Java 11 or later; distributed as Maven artifact version 2.44
Best for: Java developers who need LIBLINEAR linear models in Java applications.
Good for
- Only requires Java 11 or later
- Stays close to upstream C++ source for maintenance and code review
- Supports multiple regularized linear classification and regression solvers
Watch out for
- Default solver may be slow if data is not scaled or C is large
- Beginners with small datasets are advised to consider LIBSVM first
- Feature index must start from 1, not 0
liblinear-java at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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liblinear-java FAQ
What do I need to use liblinear-java?
Java 11 or later is the only requirement.
What are the main methods for using it in code?
Linear.train(...), Linear.predict(...) and Linear.predictProbability(...).
When should I use LIBLINEAR instead of LIBSVM?
For large data with many features, such as document classification, where linear models perform similarly without kernels.
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