49 #ifndef __DECISION_FOREST_REGRESSSION_TRAINING_BATCH_H__
50 #define __DECISION_FOREST_REGRESSSION_TRAINING_BATCH_H__
52 #include "algorithms/algorithm.h"
53 #include "data_management/data/numeric_table.h"
54 #include "services/daal_defines.h"
55 #include "services/daal_memory.h"
56 #include "algorithms/decision_forest/decision_forest_regression_training_types.h"
57 #include "algorithms/decision_forest/decision_forest_regression_model.h"
58 #include "algorithms/regression/regression_training_batch.h"
64 namespace decision_forest
82 template<
typename algorithmFPType, Method method, CpuType cpu>
83 class DAAL_EXPORT BatchContainer :
public TrainingContainerIface<batch>
91 BatchContainer(daal::services::Environment::env *daalEnv);
98 services::Status compute() DAAL_C11_OVERRIDE;
116 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
117 class DAAL_EXPORT Batch :
public algorithms::regression::training::Batch
124 Batch() : parameter()
127 parameter.minObservationsInLeafNode = 5;
136 Batch(
const Batch<algorithmFPType, method> &other) : input(other.input), parameter(other.parameter)
143 virtual algorithms::regression::training::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
149 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
155 ResultPtr getResult() {
return Result::cast(_result); }
163 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
165 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
170 virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
172 return new Batch<algorithmFPType, method>(*this);
175 services::Status allocateResult() DAAL_C11_OVERRIDE
177 services::Status s = getResult()->template allocate<algorithmFPType>(&input, ¶meter, method);
178 _res = _result.get();
184 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
187 _result.reset(
new Result());
192 using interface1::BatchContainer;
193 using interface1::Batch;
daal
Definition: algorithm_base_common.h:57
daal::algorithms::decision_forest::regression::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: decision_forest_regression_training_batch.h:163
daal::algorithms::decision_forest::regression::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: decision_forest_regression_training_batch.h:136
daal::algorithms::decision_forest::regression::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: decision_forest_regression_training_batch.h:155
daal::algorithms::decision_forest::regression::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: decision_forest_regression_training_batch.h:149
daal::algorithms::decision_forest::regression::training::interface1::Parameter
Parameters for the decision forest algorithm.
Definition: decision_forest_regression_training_types.h:135
daal::batch
Definition: daal_defines.h:131
daal::algorithms::decision_forest::regression::training::interface1::Batch::parameter
Parameter parameter
Definition: decision_forest_regression_training_batch.h:121
daal::algorithms::decision_forest::regression::training::interface1::Batch
Provides methods for decision forest model-based training in the batch processing mode...
Definition: decision_forest_regression_training_batch.h:117
daal::algorithms::decision_forest::regression::training::interface1::Batch::Batch
Batch()
Definition: decision_forest_regression_training_batch.h:124
daal::algorithms::decision_forest::regression::training::interface1::Batch::input
Input input
Definition: decision_forest_regression_training_batch.h:120
daal::algorithms::decision_forest::regression::training::interface1::BatchContainer
Class containing methods for decision forest regression model-based training using algorithmFPType pr...
Definition: decision_forest_regression_training_batch.h:83
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76