liblinear-java

Supports multiple solver types like L2-regularized logistic regression and SVM, optimized for large datasets with many features to avoid kernel overhead, as highlighted in the README's solver descriptions.

Maintains high fidelity to the C++ LIBLINEAR source, ensuring easy portability of patches and minimizing translation errors, as stated in the README's philosophy section.

Works efficiently with sparse feature representations, making it suitable for text classification and other high-dimensional data, as listed in the key features.

Includes cross-validation and parameter search functions for model evaluation and hyperparameter tuning, detailed in the README's train usage options.