mlpack: a scalable c++ machine learning library
mlpack  2.1.1
File List
Here is a list of all files with brief descriptions:
[detail level 123456]
  doc
  guide
 build.hpp
 formats.hpp
 iodoc.hpp
 matrices.hpp
 sample.hpp
 timer.hpp
 version.hpp
  policies
 elemtype.hpp
 kernels.hpp
 metrics.hpp
 trees.hpp
  src
  mlpack
  core
  data
  dists
  kernels
  math
  metrics
  optimizers
  tree
  util
  methods
  adaboost
  amf
  ann
  approx_kfn
  cf
  decision_stump
  det
  emst
  fastmks
  gmm
  hmm
  hoeffding_trees
  kernel_pca
  kmeans
  lars
  linear_regression
  local_coordinate_coding
  logistic_regression
  lsh
  matrix_completion
  mean_shift
  naive_bayes
  nca
  neighbor_search
  nystroem_method
  pca
  perceptron
  quic_svd
  radical
  randomized_svd
  range_search
  rann
  regularized_svd
  softmax_regression
  sparse_autoencoder
  sparse_coding
  tests
 serialization.hpp
 test_tools.hpp
 core.hppInclude all of the base components required to write mlpack methods, and the main mlpack Doxygen documentation
 prereqs.hppThe core includes that mlpack expects; standard C++ includes and Armadillo