text: /* file: multinomial_naive_bayes_quality_metric_set_batch.h */
  /*******************************************************************************
  * Copyright 2014-2019 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.
  *******************************************************************************/
  
  /*
  //++
  //  Interface for the multinomial Naive Bayes quality metric set.
  //--
  */
  
  #ifndef __NAIVE_BAYES_QUALITY_METRIC_SET_BATCH_H__
  #define __NAIVE_BAYES_QUALITY_METRIC_SET_BATCH_H__
  
  #include "algorithms/algorithm_quality_metric_set_batch.h"
  #include "algorithms/classifier/multiclass_confusion_matrix_batch.h"
  #include "algorithms/naive_bayes/multinomial_naive_bayes_quality_metric_set_types.h"
  
  namespace daal
  {
  namespace algorithms
  {
  namespace multinomial_naive_bayes
  {
  /**
   * \brief Contains classes for checking the quality of the model trained with the Naive Bayes algorithm
   */
  namespace quality_metric_set
  {
  namespace interface1
  {
  /**
   * @defgroup multinomial_naive_bayes_quality_metric_set_batch Batch
   * @ingroup multinomial_naive_bayes_quality_metric_set
   * @{
   */
  /**
   * <a name="DAAL-CLASS-ALGORITHMS__MULTINOMIAL_NAIVE_BAYES__QUALITY_METRIC_SET__BATCH"></a>
   * \brief Class containing a quality metric set to check the model trained with the Naive Bayes algorithm
   *
   * \par Enumerations
   *      - \ref QualityMetricId  Identifiers of quality metrics provided by the library
   *
   * \par References
   *      - \ref algorithms::quality_metric_set::interface1::InputAlgorithmsCollection "algorithms::quality_metric_set::InputAlgorithmsCollection" class
   */
  class Batch : public algorithms::quality_metric_set::Batch
  {
  public:
      Parameter parameter;    /*!< Parameters of the algorithm */
      /**
       * Constructs a quality metric set for the model trained with the Naive Bayes algorithm
       * \param[in] nClasses          Number of classes
       * \param[in] useDefaultMetrics Flag. If true, a quality metric set is initialized with the quality metrics provided by the library
       */
      Batch(size_t nClasses = 2, bool useDefaultMetrics = true) :
          algorithms::quality_metric_set::Batch(useDefaultMetrics),
          parameter(nClasses)
      {
          _inputData = InputDataCollectionPtr(new InputDataCollection());
          if (_useDefaultMetrics)
          {
              initializeQualityMetrics();
          }
          _resultCollection = ResultCollectionPtr(new ResultCollection());
      }
  
      virtual ~Batch() {}
  
      /**
       * Returns the structure that contains a computed quality metric set
       * \return Structure that contains a computed quality metric set
       */
      ResultCollectionPtr getResultCollection()
      {
          return services::staticPointerCast<ResultCollection,
                                             algorithms::quality_metric_set::ResultCollection>(_resultCollection);
      }
  
      /**
       * Returns the collection of input objects of the quality metrics algorithm
       * \return Collection of input objects of the quality metrics algorithm
       */
      InputDataCollectionPtr getInputDataCollection()
      {
          return services::staticPointerCast<InputDataCollection,
                                             algorithms::quality_metric_set::InputDataCollection>(_inputData);
      }
  
  protected:
  
      virtual void initializeQualityMetrics()
      {
          inputAlgorithms[confusionMatrix] = services::SharedPtr<classifier::quality_metric::multiclass_confusion_matrix::Batch<> >(
                                                 new classifier::quality_metric::multiclass_confusion_matrix::Batch<>(parameter.nClasses));
          _inputData->add(confusionMatrix, algorithms::InputPtr(
                            new classifier::quality_metric::multiclass_confusion_matrix::Input));
      }
  };
  /** @} */
  } // namespace interface1
  using interface1::Batch;
  
  }
  }
  }
  }
  #endif
  