49 #ifndef __GBT_REGRESSSION_TRAINING_BATCH_H__
50 #define __GBT_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/gradient_boosted_trees/gbt_regression_training_types.h"
57 #include "algorithms/gradient_boosted_trees/gbt_regression_model.h"
58 #include "algorithms/regression/regression_training_batch.h"
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
125 _par =
new Parameter();
135 Batch(
const Batch<algorithmFPType, method> &other) : input(other.input)
137 _par =
new Parameter(other.parameter());
151 Parameter& parameter() {
return *
static_cast<Parameter*
>(_par); }
157 const Parameter& parameter()
const {
return *
static_cast<const Parameter*
>(_par); }
163 virtual algorithms::regression::training::Input* getInput() DAAL_C11_OVERRIDE{
return &input; }
169 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
175 ResultPtr getResult() {
return Result::cast(_result); }
183 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
185 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
190 virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
192 return new Batch<algorithmFPType, method>(*this);
195 services::Status allocateResult() DAAL_C11_OVERRIDE
197 services::Status s = getResult()->template allocate<algorithmFPType>(&input, ¶meter(), method);
198 _res = _result.get();
204 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
206 _result.reset(
new Result());
211 using interface1::BatchContainer;
212 using interface1::Batch;
daal::algorithms::gbt::regression::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: gbt_regression_training_batch.h:175
daal::algorithms::gbt::regression::training::interface1::Batch::~Batch
~Batch()
Definition: gbt_regression_training_batch.h:142
daal
Definition: algorithm_base_common.h:57
daal::algorithms::gbt::regression::training::interface1::Batch::getInput
virtual algorithms::regression::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: gbt_regression_training_batch.h:163
daal::algorithms::gbt::regression::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: gbt_regression_training_batch.h:135
daal::algorithms::gbt::regression::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: gbt_regression_training_batch.h:183
daal::algorithms::gbt::regression::training::interface1::BatchContainer
Class containing methods for gradient boosted trees regression model-based training using algorithmFP...
Definition: gbt_regression_training_batch.h:83
daal::batch
Definition: daal_defines.h:131
daal::algorithms::gbt::regression::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: gbt_regression_training_batch.h:169
daal::algorithms::gbt::regression::training::interface1::Batch
Provides methods for model-based training in the batch processing mode.
Definition: gbt_regression_training_batch.h:117
daal::algorithms::gbt::regression::training::interface1::Batch::Batch
Batch()
Definition: gbt_regression_training_batch.h:123
daal::algorithms::gbt::regression::training::interface1::Parameter
Parameters for the gradient boosted trees algorithm.
Definition: gbt_regression_training_types.h:135
daal::algorithms::gbt::regression::training::interface1::Batch::parameter
Parameter & parameter()
Definition: gbt_regression_training_batch.h:151
daal::algorithms::gbt::regression::training::interface1::Batch::parameter
const Parameter & parameter() const
Definition: gbt_regression_training_batch.h:157
daal::algorithms::gbt::regression::training::interface1::Batch::input
Input input
Definition: gbt_regression_training_batch.h:120
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76