Turn to this comprehensive and thoroughly documented library aimed at developers interested in working with large-scale classification
If you are familiar with what large-scale linear classification entails, a software utility such as LIBLINEAR could come in handy. The open-source library targets both regular users and developers, and it manages to feel approachable thanks to the extensive documentation it comes with.
It is important to point out that the package offered for download integrates not only the library itself but also some command-line tools so that you can effortlessly carry out the learning task. The package was designed to be straightforward and allows for effortless interaction with the source code.
It should also be mentioned that, in order to ensure it is a hassle-free solution for training large-scale problems, LIBNEAR can, among other things, handle logistic regression, and apart from that, if you want to work with linear support vector machines, you can do that without any issues whatsoever.
A considerable amount of features and instances are bundled in LIBNEAR so that you can apply learning techniques to large sparse data.
As for the binary linear classifiers the library offers support for, two of the most popular ones are included on the list, and they are linear SVM and LR.
Aside from multi-class classification, LIBNEAR also enables you to work with probability estimates and make the most of cross validation for model evaluation. Moreover, automatic parameter selection is a given.
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