22 #ifndef __GBT_TRAINING_PARAMETER_H__
23 #define __GBT_TRAINING_PARAMETER_H__
25 #include "algorithms/algorithm.h"
26 #include "data_management/data/numeric_table.h"
27 #include "data_management/data/data_serialize.h"
28 #include "algorithms/engines/engine.h"
62 defaultSplit = inexact
78 class DAAL_EXPORT Parameter
83 SplitMethod splitMethod;
95 double observationsPerTreeFraction;
97 size_t featuresPerNode;
100 size_t minObservationsInLeafNode;
101 bool memorySavingMode;
102 engines::EnginePtr engine;
112 using interface1::Parameter;
daal::algorithms::gbt::training::SplitMethod
SplitMethod
Split finding method in gradient boosted trees algorithm.
Definition: gbt_training_parameter.h:58
daal::algorithms::gbt::training::interface1::Parameter::shrinkage
double shrinkage
Definition: gbt_training_parameter.h:87
daal::algorithms::gbt::training::interface1::Parameter::minObservationsInLeafNode
size_t minObservationsInLeafNode
Definition: gbt_training_parameter.h:100
daal
Definition: algorithm_base_common.h:31
daal::algorithms::gbt::training::inexact
Definition: gbt_training_parameter.h:61
daal::algorithms::gbt::training::interface1::Parameter::splitMethod
SplitMethod splitMethod
Definition: gbt_training_parameter.h:83
daal::algorithms::gbt::training::interface1::Parameter::observationsPerTreeFraction
double observationsPerTreeFraction
Definition: gbt_training_parameter.h:95
daal::algorithms::gbt::training::interface1::Parameter::maxTreeDepth
size_t maxTreeDepth
Definition: gbt_training_parameter.h:86
daal::algorithms::gbt::training::interface1::Parameter::maxIterations
size_t maxIterations
Definition: gbt_training_parameter.h:84
daal::algorithms::gbt::training::defaultSplit
Definition: gbt_training_parameter.h:62
daal::algorithms::gbt::training::interface1::Parameter::engine
engines::EnginePtr engine
Definition: gbt_training_parameter.h:102
daal::algorithms::gbt::training::interface1::Parameter::featuresPerNode
size_t featuresPerNode
Definition: gbt_training_parameter.h:97
daal::algorithms::gbt::training::exact
Definition: gbt_training_parameter.h:60
daal::algorithms::gbt::training::interface1::Parameter::memorySavingMode
bool memorySavingMode
Definition: gbt_training_parameter.h:101
daal::algorithms::gbt::training::interface1::Parameter::minSplitLoss
double minSplitLoss
Definition: gbt_training_parameter.h:90
daal::algorithms::gbt::training::interface1::Parameter::lambda
double lambda
Definition: gbt_training_parameter.h:93
daal::algorithms::gbt::training::interface1::Parameter::internalOptions
int internalOptions
Definition: gbt_training_parameter.h:108
daal::algorithms::gbt::training::interface1::Parameter::maxBins
size_t maxBins
Definition: gbt_training_parameter.h:103
daal::algorithms::gbt::training::interface1::Parameter::minBinSize
size_t minBinSize
Definition: gbt_training_parameter.h:106
daal::algorithms::gbt::training::interface1::Parameter
Parameters for the gradient boosted trees algorithm.
Definition: gbt_training_parameter.h:78