Projects authored by nishant mehta.


Logo JMLR MLPACK 3.0.0

by rcurtin - March 31, 2018, 05:31:08 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 104366 views, 18720 downloads, 6 subscriptions

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About: A fast, flexible C++ machine learning library, with bindings to other languages.

Changes:

Released March 30th, 2018.

  • Speed and memory improvements for DBSCAN. --single_mode can now be used for situations where previously RAM usage was too high.
  • Bump minimum required version of Armadillo to 6.500.0.
  • Add automatically generated Python bindings. These have the same interface as the command-line programs.
  • Add deep learning infrastructure in src/mlpack/methods/ann/.
  • Add reinforcement learning infrastructure in src/mlpack/methods/reinforcement_learning/.
  • Add optimizers: AdaGrad, CMAES, CNE, FrankeWolfe, GradientDescent, GridSearch, IQN, Katyusha, LineSearch, ParallelSGD, SARAH, SCD, SGDR, SMORMS3, SPALeRA, SVRG.
  • Add hyperparameter tuning infrastructure and cross-validation infrastructure in src/mlpack/core/cv/ and src/mlpack/core/hpt/.
  • Fix bug in mean shift.
  • Add random forests (see src/mlpack/methods/random_forest).
  • Numerous other bugfixes and testing improvements.
  • Add randomized Krylov SVD and Block Krylov SVD.