text: /* file: gbt_classification_train_container_v1.h */
  /*******************************************************************************
  * Copyright 2014-2021 Intel Corporation
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
  * You may obtain a copy of the License at
  *
  *     http://www.apache.org/licenses/LICENSE-2.0
  *
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS,
  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  * See the License for the specific language governing permissions and
  * limitations under the License.
  *******************************************************************************/
  
  /*
  //++
  //  Implementation of gradient boosted trees container.
  //--
  */
  
  #ifndef __GBT_CLASSIFICATION_TRAIN_CONTAINER_V1_H__
  #define __GBT_CLASSIFICATION_TRAIN_CONTAINER_V1_H__
  
  #include "src/algorithms/kernel.h"
  #include "algorithms/gradient_boosted_trees/gbt_classification_training_types.h"
  #include "algorithms/gradient_boosted_trees/gbt_classification_training_batch.h"
  #include "src/algorithms/dtrees/gbt/classification/gbt_classification_train_kernel.h"
  #include "src/algorithms/dtrees/gbt/classification/gbt_classification_model_impl.h"
  #include "src/services/service_algo_utils.h"
  
  namespace daal
  {
  namespace algorithms
  {
  namespace gbt
  {
  namespace classification
  {
  namespace training
  {
  namespace interface1
  {
  template <typename algorithmFPType, Method method, CpuType cpu>
  BatchContainer<algorithmFPType, method, cpu>::BatchContainer(daal::services::Environment::env * daalEnv)
  {
      __DAAL_INITIALIZE_KERNELS(internal::ClassificationTrainBatchKernel, algorithmFPType, method);
  }
  
  template <typename algorithmFPType, Method method, CpuType cpu>
  BatchContainer<algorithmFPType, method, cpu>::~BatchContainer()
  {
      __DAAL_DEINITIALIZE_KERNELS();
  }
  
  template <typename algorithmFPType, Method method, CpuType cpu>
  services::Status BatchContainer<algorithmFPType, method, cpu>::compute()
  {
      classifier::training::Input * input = static_cast<classifier::training::Input *>(_in);
      Result * result                     = static_cast<Result *>(_res);
  
      NumericTable * x = input->get(classifier::training::data).get();
      NumericTable * y = input->get(classifier::training::labels).get();
  
      gbt::classification::Model * m = result->get(classifier::training::model).get();
  
      const gbt::classification::training::interface1::Parameter * par = static_cast<gbt::classification::training::interface1::Parameter *>(_par);
      daal::services::Environment::env & env                           = *_env;
      daal::algorithms::engines::internal::BatchBaseImpl * engine =
          dynamic_cast<daal::algorithms::engines::internal::BatchBaseImpl *>(par->engine.get());
  
      __DAAL_CALL_KERNEL(env, internal::ClassificationTrainBatchKernel, __DAAL_KERNEL_ARGUMENTS(algorithmFPType, method), compute,
                         daal::services::internal::hostApp(*input), x, y, *m, *result, *par, *engine);
  }
  
  template <typename algorithmFPType, Method method, CpuType cpu>
  services::Status BatchContainer<algorithmFPType, method, cpu>::setupCompute()
  {
      Result * result                                  = static_cast<Result *>(_res);
      gbt::classification::Model * m                   = result->get(classifier::training::model).get();
      gbt::classification::internal::ModelImpl * pImpl = dynamic_cast<gbt::classification::internal::ModelImpl *>(m);
      DAAL_ASSERT(pImpl);
      pImpl->clear();
      return services::Status();
  }
  } // namespace interface1
  } // namespace training
  } // namespace classification
  } // namespace gbt
  } // namespace algorithms
  } // namespace daal
  #endif
  