About: A scalable, fast C++ machine learning library, with emphasis on usability.

Speedups of cover tree traversers; addition of rank-approximate nearest neighbor (RANN); addition of fast exact max-kernel search (FastMKS); fix for EM covariance estimation; more parameters for GMM estimation; force GMM and GaussianDistribution covariance matrices to be positive definite during training; add a tolerance parameter to the Baum-Welch algorithm for HMM training; fix for compilation with clang; fix for k-furthest neighbor search.

About: Armadillo is a template C++ linear algebra library aiming towards a good balance between speed and ease of use. Matrix decompositions are provided through optional integration with LAPACK, or one of its high performance drop-in replacements (eg. Intel MKL).

• added fast Fourier transform
• added handling of .imbue() and .transform() by submatrices and subcubes
• added batch insertion constructors for sparse matrices
• minor fix for multiplication of complex sparse matrices
• better detection of recent Intel MKL versions during installation