ensmallen
mlpack
fast, flexible C++ machine learning library
prereqs.hpp File Reference

The core includes that mlpack expects; standard C++ includes and Armadillo. More...

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Namespaces

 std
 

Macros

#define _USE_MATH_DEFINES
 
#define BOOST_MPL_CFG_NO_PREPROCESSED_HEADERS
 
#define BOOST_MPL_LIMIT_LIST_SIZE   50
 
#define BOOST_PFTO
 
#define force_inline
 
#define M_PI   3.141592653589793238462643383279
 
#define omp_size_t   size_t
 

Typedefs

template<bool B, class T = void>
using enable_if_t = typename enable_if< B, T >::type
 

Detailed Description

The core includes that mlpack expects; standard C++ includes and Armadillo.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Definition in file prereqs.hpp.

Macro Definition Documentation

◆ _USE_MATH_DEFINES

#define _USE_MATH_DEFINES

Definition at line 15 of file prereqs.hpp.

◆ BOOST_MPL_CFG_NO_PREPROCESSED_HEADERS

#define BOOST_MPL_CFG_NO_PREPROCESSED_HEADERS

Definition at line 67 of file prereqs.hpp.

◆ BOOST_MPL_LIMIT_LIST_SIZE

#define BOOST_MPL_LIMIT_LIST_SIZE   50

Definition at line 68 of file prereqs.hpp.

◆ BOOST_PFTO

#define BOOST_PFTO

Definition at line 86 of file prereqs.hpp.

◆ force_inline

#define force_inline

Definition at line 43 of file prereqs.hpp.

◆ M_PI

◆ omp_size_t

#define omp_size_t   size_t

Definition at line 124 of file prereqs.hpp.

Referenced by mlpack::data::Binarize().