24 #ifndef __GBT_CLASSIFICATION_TRAINING_TYPES_H__
25 #define __GBT_CLASSIFICATION_TRAINING_TYPES_H__
27 #include "algorithms/algorithm.h"
28 #include "algorithms/classifier/classifier_training_types.h"
29 #include "algorithms/gradient_boosted_trees/gbt_classification_model.h"
30 #include "algorithms/gradient_boosted_trees/gbt_training_parameter.h"
38 namespace classification
72 enum ResultNumericTableId
74 variableImportanceByWeight = classifier::training::lastResultId + 1,
75 variableImportanceByTotalCover,
76 variableImportanceByCover,
77 variableImportanceByTotalGain,
78 variableImportanceByGain,
79 lastResultNumericTableId = variableImportanceByGain
95 struct DAAL_EXPORT Parameter :
public classifier::interface1::Parameter,
public daal::algorithms::gbt::training::Parameter
98 DAAL_DEPRECATED Parameter(
size_t nClasses) : classifier::interface1::Parameter(nClasses), loss(crossEntropy) {}
99 DAAL_DEPRECATED services::Status check() const DAAL_C11_OVERRIDE;
100 LossFunctionType loss;
117 struct DAAL_EXPORT Parameter :
public classifier::Parameter,
public daal::algorithms::gbt::training::Parameter
120 Parameter(
size_t nClasses) : classifier::Parameter(nClasses), loss(crossEntropy), varImportance(0) {}
121 services::Status check() const DAAL_C11_OVERRIDE;
122 LossFunctionType loss;
123 DAAL_UINT64 varImportance;
135 class DAAL_EXPORT Result :
public classifier::training::Result
138 DECLARE_SERIALIZABLE_CAST(Result);
148 ModelPtr
get(classifier::training::ResultId id)
const;
155 void set(classifier::training::ResultId
id,
const ModelPtr &value);
162 data_management::NumericTablePtr
get(ResultNumericTableId id)
const;
169 void set(ResultNumericTableId
id,
const data_management::NumericTablePtr &value);
178 template <
typename algorithmFPType>
179 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
188 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
192 template<
typename Archive,
bool onDeserialize>
193 services::Status serialImpl(Archive *arch)
195 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
198 typedef services::SharedPtr<Result> ResultPtr;
201 using interface2::Parameter;
202 using interface1::Result;
203 using interface1::ResultPtr;
211 #endif // __GBT_CLASSIFICATION_TRAINING_TYPES_H__
daal::algorithms::gbt::classification::training::interface1::Parameter::Parameter
DAAL_DEPRECATED Parameter(size_t nClasses)
Definition: gbt_classification_training_types.h:98
daal::algorithms::gbt::classification::training::defaultDense
Definition: gbt_classification_training_types.h:59
daal::algorithms::gbt::classification::training::interface2::Parameter
Gradient Boosted Trees algorithm parameters.
Definition: gbt_classification_training_types.h:117
daal::algorithms::gbt::classification::training::interface1::Result
Provides methods to access the result obtained with the compute() method of model-based training...
Definition: gbt_classification_training_types.h:135
daal::algorithms::classifier::interface1::Parameter
Base class for the parameters of the classification algorithm.
Definition: classifier_model.h:69
daal::algorithms::gbt::classification::training::LossFunctionType
LossFunctionType
Loss function type.
Definition: gbt_classification_training_types.h:66
daal::algorithms::gbt::classification::training::interface1::Parameter
Gradient Boosted Trees algorithm parameters.
Definition: gbt_classification_training_types.h:95
daal::algorithms::gbt::classification::training::Method
Method
Computation methods for gradient boosted trees classification model-based training.
Definition: gbt_classification_training_types.h:55
daal::algorithms::math::abs::value
Definition: abs_types.h:88
daal::algorithms::gbt::classification::training::xboost
Definition: gbt_classification_training_types.h:57
daal::algorithms::classifier::training::ResultId
ResultId
Definition: classifier_training_types.h:82
daal::algorithms::gbt::classification::training::interface2::Parameter::Parameter
Parameter(size_t nClasses)
Definition: gbt_classification_training_types.h:120