22 #ifndef __DECISION_FOREST_REGRESSION_TRAINIG_TYPES_H__
23 #define __DECISION_FOREST_REGRESSION_TRAINIG_TYPES_H__
25 #include "algorithms/algorithm.h"
26 #include "data_management/data/numeric_table.h"
27 #include "data_management/data/data_serialize.h"
28 #include "services/daal_defines.h"
29 #include "algorithms/decision_forest/decision_forest_regression_model.h"
30 #include "algorithms/decision_forest/decision_forest_training_parameter.h"
31 #include "algorithms/regression/regression_training_types.h"
40 namespace decision_forest
70 data = algorithms::regression::training::data,
71 dependentVariable = algorithms::regression::training::dependentVariables,
72 lastInputId = dependentVariable
81 model = algorithms::regression::training::model,
89 enum ResultNumericTableId
91 outOfBagError = lastResultId + 1,
95 outOfBagErrorPerObservation,
97 lastResultNumericTableId = outOfBagErrorPerObservation
106 updatedEngine = lastResultNumericTableId + 1,
107 lastResultEngineId = updatedEngine
122 class DAAL_EXPORT Parameter :
public daal::algorithms::Parameter,
public daal::algorithms::decision_forest::training::Parameter
126 services::Status check()
const DAAL_C11_OVERRIDE;
134 class DAAL_EXPORT Input :
public algorithms::regression::training::Input
141 Input(
const Input& other) : algorithms::regression::training::Input(other){}
150 data_management::NumericTablePtr
get(InputId id)
const;
157 void set(InputId
id,
const data_management::NumericTablePtr &value);
165 services::Status check(
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
173 class DAAL_EXPORT Result :
public algorithms::regression::training::Result
176 DECLARE_SERIALIZABLE_CAST(Result)
187 template<
typename algorithmFPType>
188 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const Parameter *parameter,
const int method);
195 decision_forest::regression::ModelPtr
get(ResultId id)
const;
202 void set(ResultId
id,
const ModelPtr &value);
209 data_management::NumericTablePtr
get(ResultNumericTableId id)
const;
216 void set(ResultNumericTableId
id,
const data_management::NumericTablePtr &value);
225 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
232 engines::EnginePtr
get(ResultEngineId id)
const;
236 template<
typename Archive,
bool onDeserialize>
237 services::Status serialImpl(Archive *arch)
239 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
245 ResultImpl* impl() {
return _impl; }
247 Result(
const Result& other );
252 typedef services::SharedPtr<Result> ResultPtr;
255 using interface1::Parameter;
256 using interface1::Input;
257 using interface1::Result;
258 using interface1::ResultPtr;
daal::algorithms::decision_forest::regression::training::interface1::Result
Provides methods to access the result obtained with the compute() method of decision forest model-bas...
Definition: decision_forest_regression_training_types.h:173
daal
Definition: algorithm_base_common.h:31
daal::algorithms::decision_forest::regression::training::Method
Method
Computation methods for decision forest regression model-based training.
Definition: decision_forest_regression_training_types.h:59
daal::algorithms::decision_forest::regression::training::data
Definition: decision_forest_regression_training_types.h:70
daal::algorithms::decision_forest::regression::training::ResultEngineId
ResultEngineId
Available identifiers of the result of decision forest model-based training.
Definition: decision_forest_regression_training_types.h:104
daal::algorithms::decision_forest::regression::training::model
Definition: decision_forest_regression_training_types.h:81
daal::algorithms::decision_forest::regression::training::variableImportance
Definition: decision_forest_regression_training_types.h:93
daal::algorithms::decision_forest::regression::training::InputId
InputId
Available identifiers of input objects for decision forest model-based training.
Definition: decision_forest_regression_training_types.h:68
daal::algorithms::decision_forest::regression::training::ResultNumericTableId
ResultNumericTableId
Available identifiers of the result of decision forest model-based training.
Definition: decision_forest_regression_training_types.h:89
daal::algorithms::decision_forest::regression::training::interface1::Parameter
Parameters for the decision forest algorithm.
Definition: decision_forest_regression_training_types.h:122
daal::algorithms::regression::training::model
Definition: regression_training_types.h:63
daal::algorithms::decision_forest::regression::training::dependentVariable
Definition: decision_forest_regression_training_types.h:71
daal::algorithms::decision_forest::regression::training::outOfBagError
Definition: decision_forest_regression_training_types.h:91
daal::algorithms::decision_forest::regression::training::defaultDense
Definition: decision_forest_regression_training_types.h:61
daal::algorithms::decision_forest::regression::training::updatedEngine
Definition: decision_forest_regression_training_types.h:106
daal::algorithms::decision_forest::regression::training::outOfBagErrorPerObservation
Definition: decision_forest_regression_training_types.h:95
daal::algorithms::regression::training::dependentVariables
Definition: regression_training_types.h:53
daal::algorithms::regression::training::data
Definition: regression_training_types.h:52
daal::algorithms::math::abs::value
Definition: abs_types.h:86
daal::algorithms::decision_forest::regression::training::ResultId
ResultId
Available identifiers of the result of decision forest model-based training.
Definition: decision_forest_regression_training_types.h:79