text: /* file: svm_train_types.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.
  *******************************************************************************/
  
  /*
  //++
  //  SVM parameter structure
  //--
  */
  
  #ifndef __SVM_TRAIN_TYPES_H__
  #define __SVM_TRAIN_TYPES_H__
  
  #include "algorithms/algorithm.h"
  #include "algorithms/kernel_function/kernel_function.h"
  #include "algorithms/svm/svm_model.h"
  #include "algorithms/classifier/classifier_training_types.h"
  
  namespace daal
  {
  namespace algorithms
  {
  namespace svm
  {
  /**
   * @defgroup svm_training Training
   * \copydoc daal::algorithms::svm::training
   * @ingroup svm
   * @{
   */
  /**
   * \brief Contains classes to train the SVM model
   */
  namespace training
  {
  /**
   * <a name="DAAL-ENUM-ALGORITHMS__SVM__TRAINING__METHOD"></a>
   * Available methods to train the SVM model
   */
  enum Method
  {
      boser        = 0, /*!< Method proposed by Boser et al. */
      defaultDense = 0  /*!< Default method */
  };
  
  /**
   * \brief Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
   */
  namespace interface1
  {
  /**
   * <a name="DAAL-CLASS-ALGORITHMS__SVM__TRAINING__RESULT"></a>
   * \brief Provides methods to access final results obtained with the compute() method of the
   *        SVM training algorithm in the batch processing mode
   */
  class DAAL_EXPORT Result : public classifier::training::Result
  {
  public:
      DECLARE_SERIALIZABLE_CAST(Result);
      Result();
  
      virtual ~Result() {}
  
      /**
       * Returns the model trained with the SVM algorithm
       * \param[in] id    Identifier of the result, \ref classifier::training::ResultId
       * \return          Model trained with the SVM algorithm
       */
      daal::algorithms::svm::ModelPtr get(classifier::training::ResultId id) const;
  
      /**
       * Allocates memory for storing SVM training results
       * \param[in] input     Pointer to input structure
       * \param[in] parameter Pointer to parameter structure
       * \param[in] method    Algorithm method
       *
       * \return Status of computation
       */
      template <typename algorithmFPType>
      DAAL_EXPORT services::Status allocate(const daal::algorithms::Input * input, const daal::algorithms::Parameter * parameter, const int method);
  
      services::Status check(const daal::algorithms::Input * input, const daal::algorithms::Parameter * parameter, int method) const DAAL_C11_OVERRIDE;
  
  protected:
      /** \private */
      template <typename Archive, bool onDeserialize>
      services::Status serialImpl(Archive * arch)
      {
          return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
      }
  };
  typedef services::SharedPtr<Result> ResultPtr;
  
  } // namespace interface1
  using interface1::Result;
  using interface1::ResultPtr;
  
  } // namespace training
  /** @} */
  } // namespace svm
  } // namespace algorithms
  } // namespace daal
  #endif
  