Projects authored by ryan curtin.


Logo JMLR MLPACK 2.1.0

by rcurtin - November 1, 2016, 16:01:16 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 69327 views, 12329 downloads, 6 subscriptions

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

Changes:

Fixed CoverTree to properly handle single-point datasets. - Fixed a bug in CosineTree (and thus QUIC-SVD) that caused split failures for some datasets (#717). - Added mlpack_preprocess_describe program, which can be used to print statistics on a given dataset (#742). - Fix prioritized recursion for k-furthest-neighbor search (mlpack_kfn and the KFN class), leading to orders-of-magnitude speedups in some cases. - Bump minimum required version of Armadillo to 4.200.0. - Added simple Gradient Descent optimizer, found in src/mlpack/core/optimizers/gradient_descent/ (#792). - Added approximate furthest neighbor search algorithms QDAFN and DrusillaSelect in src/mlpack/methods/approx_kfn/, with command-line program mlpack_approx_kfn.


Logo Armadillo library 7.200

by cu24gjf - July 10, 2016, 15:44:07 CET [ Project Homepage BibTeX Download ] 96386 views, 19055 downloads, 5 subscriptions

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About: Armadillo is a high quality C++ linear algebra library, aiming towards a good balance between speed and ease of use. The function syntax is deliberately similar to MATLAB. Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products).

Changes:
  • eigs_sym(), eigs_gen() and svds() now use a built-in reimplementation of ARPACK; contributed by Yixuan Qiu
  • faster handling of compound expressions by vectorise()
  • added .index_min() and .index_max()
  • added erf(), erfc(), lgamma()
  • added .head_slices() and .tail_slices() to subcube views
  • expanded ind2sub() to handle vectors of indices
  • expanded sub2ind() to handle matrix of subscripts
  • expanded expmat(), logmat() and sqrtmat() to optionally return a bool indicating success
  • spsolve() now requires SuperLU 5.2