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;
99 services::Status setupCompute() DAAL_C11_OVERRIDE;
117 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
118 class DAAL_EXPORT Batch :
public algorithms::regression::training::Batch
121 typedef algorithms::decision_forest::regression::training::Input InputType;
122 typedef algorithms::decision_forest::regression::training::Parameter ParameterType;
123 typedef algorithms::decision_forest::regression::training::Result ResultType;
126 ParameterType parameter;
129 Batch() : parameter()
132 parameter.minObservationsInLeafNode = 5;
141 Batch(
const Batch<algorithmFPType, method> &other) : input(other.input), parameter(other.parameter)
148 virtual algorithms::regression::training::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
154 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
160 ResultPtr getResult() {
return ResultType::cast(_result); }
168 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const 170 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
175 virtual Batch<algorithmFPType, method> * cloneImpl()
const DAAL_C11_OVERRIDE
177 return new Batch<algorithmFPType, method>(*this);
180 services::Status allocateResult() DAAL_C11_OVERRIDE
182 services::Status s = getResult()->template allocate<algorithmFPType>(&input, ¶meter, method);
183 _res = _result.get();
189 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
192 _result.reset(
new ResultType());
197 using interface1::BatchContainer;
198 using interface1::Batch;
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:189
daal::services::interface1::Environment::_envStruct
The environment structure.
Definition: env_detect.h:95
daal::services::interface1::Status
Class that holds the results of API calls. In case of API routine failure it contains the list of err...
Definition: error_handling.h:491
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:168
daal::algorithms::decision_forest::regression::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: decision_forest_regression_training_batch.h:141
daal::algorithms::decision_forest::training::interface1::Parameter::minObservationsInLeafNode
size_t minObservationsInLeafNode
Definition: decision_forest_training_parameter.h:144
daal::algorithms::decision_forest::regression::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: decision_forest_regression_training_batch.h:160
daal::algorithms::decision_forest::regression::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: decision_forest_regression_training_batch.h:154
daal::algorithms::decision_forest::regression::training::interface1::Parameter
Parameters for the decision forest algorithm.
Definition: decision_forest_regression_training_types.h:138
daal::batch
Definition: daal_defines.h:132
daal::services::interface1::SharedPtr
Shared pointer that retains shared ownership of an object through a pointer. Several SharedPtr object...
Definition: daal_shared_ptr.h:187
daal::algorithms::regression::training::interface1::Batch
Provides methods for the regression model-based training in the batch processing mode.
Definition: regression_training_batch.h:77
daal::algorithms::decision_forest::regression::training::interface1::Batch::parameter
ParameterType parameter
Definition: decision_forest_regression_training_batch.h:126
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:118
daal::algorithms::decision_forest::regression::training::interface1::Batch::Batch
Batch()
Definition: decision_forest_regression_training_batch.h:129
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::decision_forest::regression::training::interface1::Batch::input
InputType input
Definition: decision_forest_regression_training_batch.h:125
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76
daal::algorithms::decision_forest::regression::training::interface1::Batch::getInput
virtual algorithms::regression::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: decision_forest_regression_training_batch.h:148