core.hpp

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#ifndef MLPACK_CORE_HPP
#define MLPACK_CORE_HPP

// First, include all of the prerequisites.
#include <mlpack/prereqs.hpp>

// Now the core mlpack classes.
#include <mlpack/core/util/arma_traits.hpp>
#include <mlpack/core/util/log.hpp>
#include <mlpack/core/util/cli.hpp>
#include <mlpack/core/util/deprecated.hpp>
#include <mlpack/core/data/load.hpp>
#include <mlpack/core/data/save.hpp>
#include <mlpack/core/data/normalize_labels.hpp>
#include <mlpack/core/math/clamp.hpp>
#include <mlpack/core/math/random.hpp>
#include <mlpack/core/math/random_basis.hpp>
#include <mlpack/core/math/lin_alg.hpp>
#include <mlpack/core/math/range.hpp>
#include <mlpack/core/math/round.hpp>
#include <mlpack/core/math/shuffle_data.hpp>
#include <mlpack/core/math/make_alias.hpp>
#include <mlpack/core/dists/discrete_distribution.hpp>
#include <mlpack/core/dists/gaussian_distribution.hpp>
#include <mlpack/core/dists/laplace_distribution.hpp>
#include <mlpack/core/dists/gamma_distribution.hpp>

// mlpack::backtrace only for linux
#ifdef HAS_BFD_DL
  #include <mlpack/core/util/backtrace.hpp>
#endif

// Include kernel traits.
#include <mlpack/core/kernels/kernel_traits.hpp>
#include <mlpack/core/kernels/linear_kernel.hpp>
#include <mlpack/core/kernels/polynomial_kernel.hpp>
#include <mlpack/core/kernels/cosine_distance.hpp>
#include <mlpack/core/kernels/gaussian_kernel.hpp>
#include <mlpack/core/kernels/epanechnikov_kernel.hpp>
#include <mlpack/core/kernels/hyperbolic_tangent_kernel.hpp>
#include <mlpack/core/kernels/laplacian_kernel.hpp>
#include <mlpack/core/kernels/pspectrum_string_kernel.hpp>
#include <mlpack/core/kernels/spherical_kernel.hpp>
#include <mlpack/core/kernels/triangular_kernel.hpp>

// Use OpenMP if compiled with -DHAS_OPENMP.
#ifdef HAS_OPENMP
  #include <omp.h>
#endif

// Use Armadillo's C++ version detection.
#ifdef ARMA_USE_CXX11
  #define MLPACK_USE_CX11
#endif

#endif