48 #ifndef __DECISION_TREE_REGRESSION_TRAINING_BATCH_H__ 49 #define __DECISION_TREE_REGRESSION_TRAINING_BATCH_H__ 51 #include "algorithms/algorithm.h" 52 #include "algorithms/decision_tree/decision_tree_regression_training_types.h" 53 #include "algorithms/decision_tree/decision_tree_regression_model.h" 54 #include "algorithms/regression/regression_training_batch.h" 60 namespace decision_tree
78 template <
typename algorithmFPType, Method method, CpuType cpu>
79 class DAAL_EXPORT BatchContainer :
public TrainingContainerIface<batch>
86 BatchContainer(daal::services::Environment::env * daalEnv);
94 services::Status compute() DAAL_C11_OVERRIDE;
112 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
113 class DAAL_EXPORT Batch :
public algorithms::regression::training::Batch
116 typedef algorithms::regression::training::Batch super;
118 typedef algorithms::decision_tree::regression::training::Input InputType;
119 typedef algorithms::decision_tree::regression::Parameter ParameterType;
120 typedef algorithms::decision_tree::regression::training::Result ResultType;
123 ParameterType parameter;
136 Batch(
const Batch<algorithmFPType, method> & other) :
137 algorithms::regression::training::Batch(other), input(other.input), parameter(other.parameter)
142 virtual algorithms::regression::training::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
148 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
154 ResultPtr getResult() {
return ResultType::cast(_result); }
161 _result.reset(
new ResultType());
171 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const 173 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
177 virtual Batch<algorithmFPType, method> * cloneImpl()
const DAAL_C11_OVERRIDE
179 return new Batch<algorithmFPType, method>(*this);
182 services::Status allocateResult() DAAL_C11_OVERRIDE
184 services::Status s = getResult()->template allocate<algorithmFPType>(&input, ¶meter, method);
185 _res = _result.get();
192 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
194 _result.reset(
new ResultType());
200 using interface1::BatchContainer;
201 using interface1::Batch;
daal::algorithms::decision_tree::regression::training::interface1::Batch::parameter
ParameterType parameter
Definition: decision_tree_regression_training_batch.h:123
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_tree::regression::training::interface1::Batch::resetResult
void resetResult()
Definition: decision_tree_regression_training_batch.h:159
daal::algorithms::decision_tree::regression::training::interface1::BatchContainer
Class containing methods for Decision tree model-based training using algorithmFPType precision arith...
Definition: decision_tree_regression_training_batch.h:79
daal::algorithms::decision_tree::regression::training::interface1::Result
Provides methods to access the result obtained with the compute() method of Decision tree model-based...
Definition: decision_tree_regression_training_types.h:174
daal::algorithms::decision_tree::regression::training::interface1::Batch::input
InputType input
Definition: decision_tree_regression_training_batch.h:122
daal::algorithms::decision_tree::regression::interface1::Parameter
Decision tree algorithm parameters.
Definition: decision_tree_regression_model.h:96
daal::algorithms::decision_tree::regression::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: decision_tree_regression_training_batch.h:171
daal::algorithms::decision_tree::regression::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: decision_tree_regression_training_batch.h:154
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_tree::regression::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: decision_tree_regression_training_batch.h:136
daal::algorithms::decision_tree::regression::training::interface1::Batch
Provides methods for Decision tree model-based training in the batch processing mode.
Definition: decision_tree_regression_training_batch.h:113
daal::algorithms::decision_tree::regression::training::interface1::Batch::Batch
Batch()
Definition: decision_tree_regression_training_batch.h:126
daal::algorithms::decision_tree::regression::training::interface1::Batch::getInput
virtual algorithms::regression::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: decision_tree_regression_training_batch.h:142
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_tree::regression::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: decision_tree_regression_training_batch.h:148