48 #ifndef __GBT_CLASSIFICATION_TRAINING_BATCH_H__
49 #define __GBT_CLASSIFICATION_TRAINING_BATCH_H__
51 #include "algorithms/classifier/classifier_training_batch.h"
52 #include "algorithms/gradient_boosted_trees/gbt_classification_training_types.h"
60 namespace classification
79 template<
typename algorithmFPType, Method method, CpuType cpu>
80 class DAAL_EXPORT BatchContainer :
public TrainingContainerIface<batch>
88 BatchContainer(daal::services::Environment::env *daalEnv);
95 services::Status compute() DAAL_C11_OVERRIDE;
115 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
116 class DAAL_EXPORT Batch :
public classifier::training::Batch
119 classifier::training::Input input;
125 Batch(
size_t nClasses)
127 _par =
new Parameter(nClasses);
137 Batch(
const Batch<algorithmFPType, method> &other) : classifier::training::Batch(other), input(other.input)
139 _par =
new Parameter(other.parameter());
153 Parameter& parameter() {
return *
static_cast<Parameter*
>(_par); }
159 const Parameter& parameter()
const {
return *
static_cast<const Parameter*
>(_par); }
165 classifier::training::Input * getInput() DAAL_C11_OVERRIDE {
return &input; }
171 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
177 ResultPtr getResult()
179 return Result::cast(_result);
185 services::Status resetResult() DAAL_C11_OVERRIDE
187 _result.reset(
new Result());
188 DAAL_CHECK(_result, services::ErrorNullResult);
190 return services::Status();
198 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
200 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
203 virtual services::Status checkComputeParams() DAAL_C11_OVERRIDE;
206 virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
208 return new Batch<algorithmFPType, method>(*this);
211 services::Status allocateResult() DAAL_C11_OVERRIDE
213 ResultPtr res = getResult();
214 DAAL_CHECK(res, services::ErrorNullResult);
215 services::Status s = res->template allocate<algorithmFPType>(&input, ¶meter(), method);
216 _res = _result.get();
222 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
224 _result.reset(
new Result());
229 using interface1::BatchContainer;
230 using interface1::Batch;
237 #endif // __LOGIT_BOOST_TRAINING_BATCH_H__
daal::algorithms::gbt::classification::training::interface1::BatchContainer
Provides methods to run implementations of Gradient Boosted Trees model-based training. This class is associated with daal::algorithms::gbt::classification::training::Batch class.
Definition: gbt_classification_training_batch.h:80
daal::algorithms::gbt::classification::training::interface1::Batch::input
classifier::training::Input input
Definition: gbt_classification_training_batch.h:119
daal::algorithms::gbt::classification::training::interface1::Batch::parameter
const Parameter & parameter() const
Definition: gbt_classification_training_batch.h:159
daal
Definition: algorithm_base_common.h:57
daal::algorithms::gbt::classification::training::interface1::Batch::~Batch
~Batch()
Definition: gbt_classification_training_batch.h:144
daal::algorithms::gbt::classification::training::interface1::Batch::getInput
classifier::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: gbt_classification_training_batch.h:165
daal::algorithms::gbt::classification::training::interface1::Batch::Batch
Batch(size_t nClasses)
Definition: gbt_classification_training_batch.h:125
daal::batch
Definition: daal_defines.h:131
daal::algorithms::gbt::classification::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: gbt_classification_training_batch.h:177
daal::algorithms::gbt::classification::training::interface1::Batch
Trains model of the Gradient Boosted Trees algorithms in the batch processing mode.
Definition: gbt_classification_training_batch.h:116
daal::algorithms::gbt::classification::training::interface1::Batch::parameter
Parameter & parameter()
Definition: gbt_classification_training_batch.h:153
daal::algorithms::gbt::classification::training::interface1::Parameter
Gradient Boosted Trees algorithm parameters.
Definition: gbt_classification_training_types.h:108
daal::algorithms::gbt::classification::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: gbt_classification_training_batch.h:198
daal::algorithms::gbt::classification::training::interface1::Batch::resetResult
services::Status resetResult() DAAL_C11_OVERRIDE
Definition: gbt_classification_training_batch.h:185
daal::algorithms::gbt::classification::training::interface1::Result
Provides methods to access the result obtained with the compute() method of model-based training...
Definition: gbt_classification_training_types.h:123
daal::algorithms::gbt::classification::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: gbt_classification_training_batch.h:137
daal::algorithms::gbt::classification::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: gbt_classification_training_batch.h:171
daal::services::ErrorNullResult
Definition: error_indexes.h:122
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76