CreateMLModelRequest.h

 
#pragma once
#include <aws/core/utils/memory/stl/AWSMap.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/machinelearning/MachineLearningRequest.h>
#include <aws/machinelearning/MachineLearning_EXPORTS.h>
#include <aws/machinelearning/model/MLModelType.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;
 
  Aws::String m_mLModelName;
 
  MLModelType m_mLModelType{MLModelType::NOT_SET};
 
  Aws::Map<Aws::String, Aws::String> m_parameters;
 
  Aws::String m_trainingDataSourceId;
 
  Aws::String m_recipe;
 
  Aws::String m_recipeUri;
  bool m_mLModelIdHasBeenSet = false;
  bool m_mLModelNameHasBeenSet = false;
  bool m_mLModelTypeHasBeenSet = false;
  bool m_parametersHasBeenSet = false;
  bool m_trainingDataSourceIdHasBeenSet = false;
  bool m_recipeHasBeenSet = false;
  bool m_recipeUriHasBeenSet = false;
};
 
}  // namespace Model
}  // namespace MachineLearning
}  // namespace Aws