CreateMLModelRequest.h

 
#pragma once
#include <aws/machinelearning/MachineLearning_EXPORTS.h>
#include <aws/machinelearning/MachineLearningRequest.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/machinelearning/model/MLModelType.h>
#include <aws/core/utils/memory/stl/AWSMap.h>
#include <utility>
 
namespace Aws
{
namespace MachineLearning
{
namespace Model
{
 
  class CreateMLModelRequest : public MachineLearningRequest
  {
  public:
    AWS_MACHINELEARNING_API CreateMLModelRequest() = default;
 
    // Service request name is the Operation name which will send this request out,
    // each operation should has unique request name, so that we can get operation's name from this request.
    // Note: this is not true for response, multiple operations may have the same response name,
    // so we can not get operation's name from response.
    inline virtual const char* GetServiceRequestName() const override { return "CreateMLModel"; }
 
    AWS_MACHINELEARNING_API Aws::String SerializePayload() const override;
 
    AWS_MACHINELEARNING_API Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override;
 
 
 
    inline const Aws::String& GetMLModelId() const { return m_mLModelId; }
    inline bool MLModelIdHasBeenSet() const { return m_mLModelIdHasBeenSet; }
    template<typename MLModelIdT = Aws::String>
    void SetMLModelId(MLModelIdT&& value) { m_mLModelIdHasBeenSet = true; m_mLModelId = std::forward<MLModelIdT>(value); }
    template<typename MLModelIdT = Aws::String>
    CreateMLModelRequest& WithMLModelId(MLModelIdT&& value) { SetMLModelId(std::forward<MLModelIdT>(value)); return *this;}
 
 
    inline const Aws::String& GetMLModelName() const { return m_mLModelName; }
    inline bool MLModelNameHasBeenSet() const { return m_mLModelNameHasBeenSet; }
    template<typename MLModelNameT = Aws::String>
    void SetMLModelName(MLModelNameT&& value) { m_mLModelNameHasBeenSet = true; m_mLModelName = std::forward<MLModelNameT>(value); }
    template<typename MLModelNameT = Aws::String>
    CreateMLModelRequest& WithMLModelName(MLModelNameT&& value) { SetMLModelName(std::forward<MLModelNameT>(value)); return *this;}
 
 
    inline MLModelType GetMLModelType() const { return m_mLModelType; }
    inline bool MLModelTypeHasBeenSet() const { return m_mLModelTypeHasBeenSet; }
    inline void SetMLModelType(MLModelType value) { m_mLModelTypeHasBeenSet = true; m_mLModelType = value; }
    inline CreateMLModelRequest& WithMLModelType(MLModelType value) { SetMLModelType(value); return *this;}
 
 
    inline const Aws::Map<Aws::String, Aws::String>& GetParameters() const { return m_parameters; }
    inline bool ParametersHasBeenSet() const { return m_parametersHasBeenSet; }
    template<typename ParametersT = Aws::Map<Aws::String, Aws::String>>
    void SetParameters(ParametersT&& value) { m_parametersHasBeenSet = true; m_parameters = std::forward<ParametersT>(value); }
    template<typename ParametersT = Aws::Map<Aws::String, Aws::String>>
    CreateMLModelRequest& WithParameters(ParametersT&& value) { SetParameters(std::forward<ParametersT>(value)); return *this;}
    template<typename ParametersKeyT = Aws::String, typename ParametersValueT = Aws::String>
    CreateMLModelRequest& AddParameters(ParametersKeyT&& key, ParametersValueT&& value) {
      m_parametersHasBeenSet = true; m_parameters.emplace(std::forward<ParametersKeyT>(key), std::forward<ParametersValueT>(value)); return *this;
    }
 
 
    inline const Aws::String& GetTrainingDataSourceId() const { return m_trainingDataSourceId; }
    inline bool TrainingDataSourceIdHasBeenSet() const { return m_trainingDataSourceIdHasBeenSet; }
    template<typename TrainingDataSourceIdT = Aws::String>
    void SetTrainingDataSourceId(TrainingDataSourceIdT&& value) { m_trainingDataSourceIdHasBeenSet = true; m_trainingDataSourceId = std::forward<TrainingDataSourceIdT>(value); }
    template<typename TrainingDataSourceIdT = Aws::String>
    CreateMLModelRequest& WithTrainingDataSourceId(TrainingDataSourceIdT&& value) { SetTrainingDataSourceId(std::forward<TrainingDataSourceIdT>(value)); return *this;}
 
 
    inline const Aws::String& GetRecipe() const { return m_recipe; }
    inline bool RecipeHasBeenSet() const { return m_recipeHasBeenSet; }
    template<typename RecipeT = Aws::String>
    void SetRecipe(RecipeT&& value) { m_recipeHasBeenSet = true; m_recipe = std::forward<RecipeT>(value); }
    template<typename RecipeT = Aws::String>
    CreateMLModelRequest& WithRecipe(RecipeT&& value) { SetRecipe(std::forward<RecipeT>(value)); return *this;}
 
 
    inline const Aws::String& GetRecipeUri() const { return m_recipeUri; }
    inline bool RecipeUriHasBeenSet() const { return m_recipeUriHasBeenSet; }
    template<typename RecipeUriT = Aws::String>
    void SetRecipeUri(RecipeUriT&& value) { m_recipeUriHasBeenSet = true; m_recipeUri = std::forward<RecipeUriT>(value); }
    template<typename RecipeUriT = Aws::String>
    CreateMLModelRequest& WithRecipeUri(RecipeUriT&& value) { SetRecipeUri(std::forward<RecipeUriT>(value)); return *this;}
  private:
 
    Aws::String m_mLModelId;
    bool m_mLModelIdHasBeenSet = false;
 
    Aws::String m_mLModelName;
    bool m_mLModelNameHasBeenSet = false;
 
    MLModelType m_mLModelType{MLModelType::NOT_SET};
    bool m_mLModelTypeHasBeenSet = false;
 
    Aws::Map<Aws::String, Aws::String> m_parameters;
    bool m_parametersHasBeenSet = false;
 
    Aws::String m_trainingDataSourceId;
    bool m_trainingDataSourceIdHasBeenSet = false;
 
    Aws::String m_recipe;
    bool m_recipeHasBeenSet = false;
 
    Aws::String m_recipeUri;
    bool m_recipeUriHasBeenSet = false;
  };
 
} // namespace Model
} // namespace MachineLearning
} // namespace Aws