An open source machine learning library that is free to use.
Elefant boasts an impressive set of machine learning algorithms, including Support Vector Machine (SVM) for classification, regression, quantile and novelty detection, online learning, Epsilon Insensitive and Laplacian support vector regression. Additionally, Heteroscedastic Gaussian Process regression, Gaussian Process Regression, Multi-class transductive classification with Gaussian Process, solvers for the quadratic programming problem, BAHSIC feature selection, algorithms for fast computation and manipulation of kernel matrices (Linear, RBF, Dot Product and String Kernels), as well as Loopy Belief Propagation and Junction Tree algorithms are all included.
Elefant also includes a Cover Tree for calculating the nearest neighbor. Elefant is currently being tested on the most popular platforms such as Mac OS X (10.4), Linux (Ubuntu 7.04 - Feisty Fawn), Windows XP (SP2) and Windows Vista. Overall, Elefant is an impressive software package that provides researchers and practitioners with a reliable tool for a variety of machine learning and inference problems.
Version 0.2.0: N/A