Projects that are tagged with scalable.


Logo JMLR MLPACK 1.0.11

by rcurtin - December 11, 2014, 18:20:35 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 35847 views, 7020 downloads, 6 subscriptions

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

Changes:
  • Proper handling of dimension calculation in PCA.
  • Load parameter vectors properly for LinearRegression models.
  • Linker fixes for AugLagrangian specializations under Visual Studio.
  • Add support for observation weights to LinearRegression.
  • MahalanobisDistance<> now takes root of the distance by default and therefore satisfies the triangle inequality (TakeRoot now defaults to true).
  • Better handling of optional Armadillo HDF5 dependency.
  • Fixes for numerous intermittent test failures.
  • math::RandomSeed() now sets the seed for recent (>= 3.930) Armadillo versions.
  • Handle Newton method convergence better for SparseCoding::OptimizeDictionary() and make maximum iterations a parameter.
  • Known bug: CosineTree construction may fail in some cases on i386 systems (376).

Logo RLPy 1.3a

by bobklein2 - August 28, 2014, 14:34:35 CET [ Project Homepage BibTeX Download ] 2123 views, 475 downloads, 1 subscription

About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting).

Changes:
  • Fixed bug where results using same random seed were different with visualization turned on/off
  • Created RLPy package on pypi (Available at https://pypi.python.org/pypi/rlpy)
  • Switched from custom logger class to python default
  • Added unit tests
  • Code readability improvements (formatting, variable names/ordering)
  • Restructured TD Learning heirarchy
  • Updated tutorials