C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

gbt_training_parameter.h
1 /* file: gbt_training_parameter.h */
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41 
42 /*
43 //++
44 // Gradient Boosted Trees training parameter class
45 //--
46 */
47 
48 #ifndef __GBT_TRAINING_PARAMETER_H__
49 #define __GBT_TRAINING_PARAMETER_H__
50 
51 #include "algorithms/algorithm.h"
52 #include "data_management/data/numeric_table.h"
53 #include "data_management/data/data_serialize.h"
54 #include "algorithms/engines/engine.h"
55 
56 namespace daal
57 {
58 namespace algorithms
59 {
68 namespace gbt
69 {
73 namespace training
74 {
84 enum SplitMethod
85 {
86  exact = 0,
87  inexact = 1,
88  defaultSplit = inexact
89 };
90 
94 namespace interface1
95 {
96 
103 /* [Parameter source code] */
104 class DAAL_EXPORT Parameter
105 {
106 public:
107  Parameter();
108 
109  SplitMethod splitMethod;
110  size_t maxIterations;
112  size_t maxTreeDepth;
113  double shrinkage;
116  double minSplitLoss;
119  double lambda;
121  double observationsPerTreeFraction;
123  size_t featuresPerNode;
126  size_t minObservationsInLeafNode;
127  bool memorySavingMode;
128  engines::EnginePtr engine;
129  size_t maxBins;
132  size_t minBinSize;
134  int internalOptions;
135 };
136 /* [Parameter source code] */
137 } // namespace interface1
138 using interface1::Parameter;
140 } // namespace training
141 }
142 }
143 } // namespace daal
144 #endif
daal::algorithms::gbt::training::SplitMethod
SplitMethod
Split finding method in gradient boosted trees algorithm.
Definition: gbt_training_parameter.h:84
daal::algorithms::gbt::training::interface1::Parameter::shrinkage
double shrinkage
Definition: gbt_training_parameter.h:113
daal::algorithms::gbt::training::interface1::Parameter::minObservationsInLeafNode
size_t minObservationsInLeafNode
Definition: gbt_training_parameter.h:126
daal
Definition: algorithm_base_common.h:57
daal::algorithms::gbt::training::inexact
Definition: gbt_training_parameter.h:87
daal::algorithms::gbt::training::interface1::Parameter::splitMethod
SplitMethod splitMethod
Definition: gbt_training_parameter.h:109
daal::algorithms::gbt::training::interface1::Parameter::observationsPerTreeFraction
double observationsPerTreeFraction
Definition: gbt_training_parameter.h:121
daal::algorithms::gbt::training::interface1::Parameter::maxTreeDepth
size_t maxTreeDepth
Definition: gbt_training_parameter.h:112
daal::algorithms::gbt::training::interface1::Parameter::maxIterations
size_t maxIterations
Definition: gbt_training_parameter.h:110
daal::algorithms::gbt::training::defaultSplit
Definition: gbt_training_parameter.h:88
daal::algorithms::gbt::training::interface1::Parameter::engine
engines::EnginePtr engine
Definition: gbt_training_parameter.h:128
daal::algorithms::gbt::training::interface1::Parameter::featuresPerNode
size_t featuresPerNode
Definition: gbt_training_parameter.h:123
daal::algorithms::gbt::training::exact
Definition: gbt_training_parameter.h:86
daal::algorithms::gbt::training::interface1::Parameter::memorySavingMode
bool memorySavingMode
Definition: gbt_training_parameter.h:127
daal::algorithms::gbt::training::interface1::Parameter::minSplitLoss
double minSplitLoss
Definition: gbt_training_parameter.h:116
daal::algorithms::gbt::training::interface1::Parameter::lambda
double lambda
Definition: gbt_training_parameter.h:119
daal::algorithms::gbt::training::interface1::Parameter::internalOptions
int internalOptions
Definition: gbt_training_parameter.h:134
daal::algorithms::gbt::training::interface1::Parameter::maxBins
size_t maxBins
Definition: gbt_training_parameter.h:129
daal::algorithms::gbt::training::interface1::Parameter::minBinSize
size_t minBinSize
Definition: gbt_training_parameter.h:132
daal::algorithms::gbt::training::interface1::Parameter
Parameters for the gradient boosted trees algorithm.
Definition: gbt_training_parameter.h:104

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