24 #ifndef __DECISION_FOREST_REGRESSION_TRAINIG_TYPES_H__
25 #define __DECISION_FOREST_REGRESSION_TRAINIG_TYPES_H__
27 #include "algorithms/algorithm.h"
28 #include "data_management/data/numeric_table.h"
29 #include "data_management/data/data_serialize.h"
30 #include "services/daal_defines.h"
31 #include "algorithms/decision_forest/decision_forest_regression_model.h"
32 #include "algorithms/decision_forest/decision_forest_training_parameter.h"
33 #include "algorithms/regression/regression_training_types.h"
42 namespace decision_forest
72 data = algorithms::regression::training::data,
73 dependentVariable = algorithms::regression::training::dependentVariables,
74 lastInputId = dependentVariable
83 model = algorithms::regression::training::model,
91 enum ResultNumericTableId
93 outOfBagError = lastResultId + 1,
97 outOfBagErrorPerObservation,
99 lastResultNumericTableId = outOfBagErrorPerObservation
108 updatedEngine = lastResultNumericTableId + 1,
109 lastResultEngineId = updatedEngine
124 class DAAL_EXPORT Parameter :
public daal::algorithms::Parameter,
public daal::algorithms::decision_forest::training::Parameter
128 services::Status check()
const DAAL_C11_OVERRIDE;
136 class DAAL_EXPORT Input :
public algorithms::regression::training::Input
143 Input(
const Input& other) : algorithms::regression::training::Input(other){}
152 data_management::NumericTablePtr
get(InputId id)
const;
159 void set(InputId
id,
const data_management::NumericTablePtr &value);
167 services::Status check(
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
175 class DAAL_EXPORT Result :
public algorithms::regression::training::Result
178 DECLARE_SERIALIZABLE_CAST(Result)
189 template<
typename algorithmFPType>
190 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const Parameter *parameter,
const int method);
197 decision_forest::regression::ModelPtr
get(ResultId id)
const;
204 void set(ResultId
id,
const ModelPtr &value);
211 data_management::NumericTablePtr
get(ResultNumericTableId id)
const;
218 void set(ResultNumericTableId
id,
const data_management::NumericTablePtr &value);
227 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
234 engines::EnginePtr
get(ResultEngineId id)
const;
238 template<
typename Archive,
bool onDeserialize>
239 services::Status serialImpl(Archive *arch)
241 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
247 ResultImpl* impl() {
return _impl; }
249 Result(
const Result& other );
254 typedef services::SharedPtr<Result> ResultPtr;
257 using interface1::Parameter;
258 using interface1::Input;
259 using interface1::Result;
260 using interface1::ResultPtr;
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:106
daal::algorithms::decision_forest::regression::training::variableImportance
Definition: decision_forest_regression_training_types.h:95
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:175
daal::algorithms::decision_forest::regression::training::outOfBagError
Definition: decision_forest_regression_training_types.h:93
daal::algorithms::decision_forest::regression::training::updatedEngine
Definition: decision_forest_regression_training_types.h:108
daal::algorithms::regression::training::dependentVariables
Definition: regression_training_types.h:55
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:81
daal::algorithms::decision_forest::regression::training::interface1::Parameter
Parameters for the decision forest algorithm.
Definition: decision_forest_regression_training_types.h:124
daal::algorithms::decision_forest::regression::training::data
Definition: decision_forest_regression_training_types.h:72
daal::algorithms::decision_forest::regression::training::Method
Method
Computation methods for decision forest regression model-based training.
Definition: decision_forest_regression_training_types.h:61
daal::algorithms::regression::training::data
Definition: regression_training_types.h:54
daal::algorithms::decision_forest::regression::training::interface1::Input::Input
Input(const Input &other)
Definition: decision_forest_regression_training_types.h:143
daal::algorithms::decision_forest::regression::training::defaultDense
Definition: decision_forest_regression_training_types.h:63
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:91
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:70
daal::algorithms::decision_forest::regression::training::interface1::Input
Input objects for decision forest model-based training
Definition: decision_forest_regression_training_types.h:136
daal::algorithms::regression::training::model
Definition: regression_training_types.h:66
daal::algorithms::decision_forest::regression::training::outOfBagErrorPerObservation
Definition: decision_forest_regression_training_types.h:97
daal::algorithms::decision_forest::regression::training::dependentVariable
Definition: decision_forest_regression_training_types.h:73
daal::algorithms::math::abs::value
Definition: abs_types.h:88
daal::algorithms::decision_forest::regression::training::model
Definition: decision_forest_regression_training_types.h:83