#include <dmlc/base.h>
#include <dmlc/omp.h>
#include <cmath>
#include <cstdint>
#include <iostream>
#include <string>
#include <utility>
#include <vector>

Data Structures
class	xgboost::detail::GradientPairInternal< T >
	Implementation of gradient statistics pair. Template specialisation may be used to overload different gradients types e.g. low precision, high precision, integer, floating point. More...

class	xgboost::GradientPairInt64
	Fixed point representation for high precision gradient pair. Has a different interface so we don't accidentally use it in gain calculations. More...

Namespaces
namespace	xgboost
	namespace of xgboost

Macros
#define	XGBOOST_STRICT_R_MODE 0
	string flag for R library, to leave hooks when needed.

#define	XGBOOST_LOG_WITH_TIME 1
	Whether always log console message with time. It will display like, with timestamp appended to head of the message. "[21:47:50] 6513x126 matrix with 143286 entries loaded from ../data/agaricus.txt.train".

#define	XGBOOST_CUSTOMIZE_GLOBAL_PRNG XGBOOST_STRICT_R_MODE
	Whether to customize global PRNG.

#define	XGBOOST_ALIGNAS(X)
	Check if alignas(*) keyword is supported. (g++ 4.8 or higher)

#define	XGBOOST_EXPECT(cond, ret) (cond)

#define	XGBOOST_DEVICE
	Tag function as usable by device.

#define	XGBOOST_HOST_DEV_INLINE

#define	XGBOOST_DEV_INLINE

Typedefs
using	xgboost::bst_uint = uint32_t
	unsigned integer type used for feature index.

using	xgboost::bst_ulong = uint64_t
	unsigned long integers

using	xgboost::bst_float = float
	float type, used for storing statistics

using	xgboost::bst_cat_t = int32_t
	Categorical value type.

using	xgboost::bst_feature_t = uint32_t
	Type for data column (feature) index.

using	xgboost::bst_bin_t = int32_t
	Type for histogram bin index.

using	xgboost::bst_row_t = std::size_t
	Type for data row index.

using	xgboost::bst_node_t = std::int32_t
	Type for tree node index.

using	xgboost::bst_group_t = std::uint32_t
	Type for ranking group index.

using	xgboost::bst_target_t = std::uint32_t
	Type for indexing into output targets.

using	xgboost::bst_layer_t = std::int32_t
	Type for indexing boosted layers.

using	xgboost::bst_tree_t = std::int32_t
	Type for indexing trees.

using	xgboost::bst_d_ordinal_t = std::int16_t
	Ordinal of a CUDA device.

using	xgboost::GradientPair = detail::GradientPairInternal< float >
	gradient statistics pair usually needed in gradient boosting

using	xgboost::GradientPairPrecise = detail::GradientPairInternal< double >
	High precision gradient statistics pair.

using	xgboost::Args = std::vector< std::pair< std::string, std::string > >

using	xgboost::omp_ulong = dmlc::omp_ulong
	define unsigned long for openmp loop

using	xgboost::bst_omp_uint = dmlc::omp_uint
	define unsigned int for openmp loop

using	xgboost::XGBoostVersionT = int32_t
	Type used for representing version number in binary form.

Variables
constexpr bst_float	xgboost::kRtEps = 1e-6f
	small eps gap for minimum split decision.

Detailed Description

Defines configuration macros and basic types for xgboost.

Data Structures

Namespaces

Macros

Typedefs

Variables

Detailed Description