CreatePredictorRequest.h

 
#pragma once
#include <aws/forecast/ForecastService_EXPORTS.h>
#include <aws/forecast/ForecastServiceRequest.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/core/utils/memory/stl/AWSVector.h>
#include <aws/forecast/model/AutoMLOverrideStrategy.h>
#include <aws/core/utils/memory/stl/AWSMap.h>
#include <aws/forecast/model/EvaluationParameters.h>
#include <aws/forecast/model/HyperParameterTuningJobConfig.h>
#include <aws/forecast/model/InputDataConfig.h>
#include <aws/forecast/model/FeaturizationConfig.h>
#include <aws/forecast/model/EncryptionConfig.h>
#include <aws/forecast/model/OptimizationMetric.h>
#include <aws/forecast/model/Tag.h>
#include <utility>
 
namespace Aws
{
namespace ForecastService
{
namespace Model
{
 
  class CreatePredictorRequest : public ForecastServiceRequest
  {
  public:
    AWS_FORECASTSERVICE_API CreatePredictorRequest() = 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 "CreatePredictor"; }
 
    AWS_FORECASTSERVICE_API Aws::String SerializePayload() const override;
 
    AWS_FORECASTSERVICE_API Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override;
 
 
 
    inline const Aws::String& GetPredictorName() const { return m_predictorName; }
    inline bool PredictorNameHasBeenSet() const { return m_predictorNameHasBeenSet; }
    template<typename PredictorNameT = Aws::String>
    void SetPredictorName(PredictorNameT&& value) { m_predictorNameHasBeenSet = true; m_predictorName = std::forward<PredictorNameT>(value); }
    template<typename PredictorNameT = Aws::String>
    CreatePredictorRequest& WithPredictorName(PredictorNameT&& value) { SetPredictorName(std::forward<PredictorNameT>(value)); return *this;}
 
 
    inline const Aws::String& GetAlgorithmArn() const { return m_algorithmArn; }
    inline bool AlgorithmArnHasBeenSet() const { return m_algorithmArnHasBeenSet; }
    template<typename AlgorithmArnT = Aws::String>
    void SetAlgorithmArn(AlgorithmArnT&& value) { m_algorithmArnHasBeenSet = true; m_algorithmArn = std::forward<AlgorithmArnT>(value); }
    template<typename AlgorithmArnT = Aws::String>
    CreatePredictorRequest& WithAlgorithmArn(AlgorithmArnT&& value) { SetAlgorithmArn(std::forward<AlgorithmArnT>(value)); return *this;}
 
 
    inline int GetForecastHorizon() const { return m_forecastHorizon; }
    inline bool ForecastHorizonHasBeenSet() const { return m_forecastHorizonHasBeenSet; }
    inline void SetForecastHorizon(int value) { m_forecastHorizonHasBeenSet = true; m_forecastHorizon = value; }
    inline CreatePredictorRequest& WithForecastHorizon(int value) { SetForecastHorizon(value); return *this;}
 
 
    inline const Aws::Vector<Aws::String>& GetForecastTypes() const { return m_forecastTypes; }
    inline bool ForecastTypesHasBeenSet() const { return m_forecastTypesHasBeenSet; }
    template<typename ForecastTypesT = Aws::Vector<Aws::String>>
    void SetForecastTypes(ForecastTypesT&& value) { m_forecastTypesHasBeenSet = true; m_forecastTypes = std::forward<ForecastTypesT>(value); }
    template<typename ForecastTypesT = Aws::Vector<Aws::String>>
    CreatePredictorRequest& WithForecastTypes(ForecastTypesT&& value) { SetForecastTypes(std::forward<ForecastTypesT>(value)); return *this;}
    template<typename ForecastTypesT = Aws::String>
    CreatePredictorRequest& AddForecastTypes(ForecastTypesT&& value) { m_forecastTypesHasBeenSet = true; m_forecastTypes.emplace_back(std::forward<ForecastTypesT>(value)); return *this; }
 
 
    inline bool GetPerformAutoML() const { return m_performAutoML; }
    inline bool PerformAutoMLHasBeenSet() const { return m_performAutoMLHasBeenSet; }
    inline void SetPerformAutoML(bool value) { m_performAutoMLHasBeenSet = true; m_performAutoML = value; }
    inline CreatePredictorRequest& WithPerformAutoML(bool value) { SetPerformAutoML(value); return *this;}
 
 
    inline AutoMLOverrideStrategy GetAutoMLOverrideStrategy() const { return m_autoMLOverrideStrategy; }
    inline bool AutoMLOverrideStrategyHasBeenSet() const { return m_autoMLOverrideStrategyHasBeenSet; }
    inline void SetAutoMLOverrideStrategy(AutoMLOverrideStrategy value) { m_autoMLOverrideStrategyHasBeenSet = true; m_autoMLOverrideStrategy = value; }
    inline CreatePredictorRequest& WithAutoMLOverrideStrategy(AutoMLOverrideStrategy value) { SetAutoMLOverrideStrategy(value); return *this;}
 
 
    inline bool GetPerformHPO() const { return m_performHPO; }
    inline bool PerformHPOHasBeenSet() const { return m_performHPOHasBeenSet; }
    inline void SetPerformHPO(bool value) { m_performHPOHasBeenSet = true; m_performHPO = value; }
    inline CreatePredictorRequest& WithPerformHPO(bool value) { SetPerformHPO(value); return *this;}
 
 
    inline const Aws::Map<Aws::String, Aws::String>& GetTrainingParameters() const { return m_trainingParameters; }
    inline bool TrainingParametersHasBeenSet() const { return m_trainingParametersHasBeenSet; }
    template<typename TrainingParametersT = Aws::Map<Aws::String, Aws::String>>
    void SetTrainingParameters(TrainingParametersT&& value) { m_trainingParametersHasBeenSet = true; m_trainingParameters = std::forward<TrainingParametersT>(value); }
    template<typename TrainingParametersT = Aws::Map<Aws::String, Aws::String>>
    CreatePredictorRequest& WithTrainingParameters(TrainingParametersT&& value) { SetTrainingParameters(std::forward<TrainingParametersT>(value)); return *this;}
    template<typename TrainingParametersKeyT = Aws::String, typename TrainingParametersValueT = Aws::String>
    CreatePredictorRequest& AddTrainingParameters(TrainingParametersKeyT&& key, TrainingParametersValueT&& value) {
      m_trainingParametersHasBeenSet = true; m_trainingParameters.emplace(std::forward<TrainingParametersKeyT>(key), std::forward<TrainingParametersValueT>(value)); return *this;
    }
 
 
    inline const EvaluationParameters& GetEvaluationParameters() const { return m_evaluationParameters; }
    inline bool EvaluationParametersHasBeenSet() const { return m_evaluationParametersHasBeenSet; }
    template<typename EvaluationParametersT = EvaluationParameters>
    void SetEvaluationParameters(EvaluationParametersT&& value) { m_evaluationParametersHasBeenSet = true; m_evaluationParameters = std::forward<EvaluationParametersT>(value); }
    template<typename EvaluationParametersT = EvaluationParameters>
    CreatePredictorRequest& WithEvaluationParameters(EvaluationParametersT&& value) { SetEvaluationParameters(std::forward<EvaluationParametersT>(value)); return *this;}
 
 
    inline const HyperParameterTuningJobConfig& GetHPOConfig() const { return m_hPOConfig; }
    inline bool HPOConfigHasBeenSet() const { return m_hPOConfigHasBeenSet; }
    template<typename HPOConfigT = HyperParameterTuningJobConfig>
    void SetHPOConfig(HPOConfigT&& value) { m_hPOConfigHasBeenSet = true; m_hPOConfig = std::forward<HPOConfigT>(value); }
    template<typename HPOConfigT = HyperParameterTuningJobConfig>
    CreatePredictorRequest& WithHPOConfig(HPOConfigT&& value) { SetHPOConfig(std::forward<HPOConfigT>(value)); return *this;}
 
 
    inline const InputDataConfig& GetInputDataConfig() const { return m_inputDataConfig; }
    inline bool InputDataConfigHasBeenSet() const { return m_inputDataConfigHasBeenSet; }
    template<typename InputDataConfigT = InputDataConfig>
    void SetInputDataConfig(InputDataConfigT&& value) { m_inputDataConfigHasBeenSet = true; m_inputDataConfig = std::forward<InputDataConfigT>(value); }
    template<typename InputDataConfigT = InputDataConfig>
    CreatePredictorRequest& WithInputDataConfig(InputDataConfigT&& value) { SetInputDataConfig(std::forward<InputDataConfigT>(value)); return *this;}
 
 
    inline const FeaturizationConfig& GetFeaturizationConfig() const { return m_featurizationConfig; }
    inline bool FeaturizationConfigHasBeenSet() const { return m_featurizationConfigHasBeenSet; }
    template<typename FeaturizationConfigT = FeaturizationConfig>
    void SetFeaturizationConfig(FeaturizationConfigT&& value) { m_featurizationConfigHasBeenSet = true; m_featurizationConfig = std::forward<FeaturizationConfigT>(value); }
    template<typename FeaturizationConfigT = FeaturizationConfig>
    CreatePredictorRequest& WithFeaturizationConfig(FeaturizationConfigT&& value) { SetFeaturizationConfig(std::forward<FeaturizationConfigT>(value)); return *this;}
 
 
    inline const EncryptionConfig& GetEncryptionConfig() const { return m_encryptionConfig; }
    inline bool EncryptionConfigHasBeenSet() const { return m_encryptionConfigHasBeenSet; }
    template<typename EncryptionConfigT = EncryptionConfig>
    void SetEncryptionConfig(EncryptionConfigT&& value) { m_encryptionConfigHasBeenSet = true; m_encryptionConfig = std::forward<EncryptionConfigT>(value); }
    template<typename EncryptionConfigT = EncryptionConfig>
    CreatePredictorRequest& WithEncryptionConfig(EncryptionConfigT&& value) { SetEncryptionConfig(std::forward<EncryptionConfigT>(value)); return *this;}
 
 
    inline const Aws::Vector<Tag>& GetTags() const { return m_tags; }
    inline bool TagsHasBeenSet() const { return m_tagsHasBeenSet; }
    template<typename TagsT = Aws::Vector<Tag>>
    void SetTags(TagsT&& value) { m_tagsHasBeenSet = true; m_tags = std::forward<TagsT>(value); }
    template<typename TagsT = Aws::Vector<Tag>>
    CreatePredictorRequest& WithTags(TagsT&& value) { SetTags(std::forward<TagsT>(value)); return *this;}
    template<typename TagsT = Tag>
    CreatePredictorRequest& AddTags(TagsT&& value) { m_tagsHasBeenSet = true; m_tags.emplace_back(std::forward<TagsT>(value)); return *this; }
 
 
    inline OptimizationMetric GetOptimizationMetric() const { return m_optimizationMetric; }
    inline bool OptimizationMetricHasBeenSet() const { return m_optimizationMetricHasBeenSet; }
    inline void SetOptimizationMetric(OptimizationMetric value) { m_optimizationMetricHasBeenSet = true; m_optimizationMetric = value; }
    inline CreatePredictorRequest& WithOptimizationMetric(OptimizationMetric value) { SetOptimizationMetric(value); return *this;}
  private:
 
    Aws::String m_predictorName;
    bool m_predictorNameHasBeenSet = false;
 
    Aws::String m_algorithmArn;
    bool m_algorithmArnHasBeenSet = false;
 
    int m_forecastHorizon{0};
    bool m_forecastHorizonHasBeenSet = false;
 
    Aws::Vector<Aws::String> m_forecastTypes;
    bool m_forecastTypesHasBeenSet = false;
 
    bool m_performAutoML{false};
    bool m_performAutoMLHasBeenSet = false;
 
    AutoMLOverrideStrategy m_autoMLOverrideStrategy{AutoMLOverrideStrategy::NOT_SET};
    bool m_autoMLOverrideStrategyHasBeenSet = false;
 
    bool m_performHPO{false};
    bool m_performHPOHasBeenSet = false;
 
    Aws::Map<Aws::String, Aws::String> m_trainingParameters;
    bool m_trainingParametersHasBeenSet = false;
 
    EvaluationParameters m_evaluationParameters;
    bool m_evaluationParametersHasBeenSet = false;
 
    HyperParameterTuningJobConfig m_hPOConfig;
    bool m_hPOConfigHasBeenSet = false;
 
    InputDataConfig m_inputDataConfig;
    bool m_inputDataConfigHasBeenSet = false;
 
    FeaturizationConfig m_featurizationConfig;
    bool m_featurizationConfigHasBeenSet = false;
 
    EncryptionConfig m_encryptionConfig;
    bool m_encryptionConfigHasBeenSet = false;
 
    Aws::Vector<Tag> m_tags;
    bool m_tagsHasBeenSet = false;
 
    OptimizationMetric m_optimizationMetric{OptimizationMetric::NOT_SET};
    bool m_optimizationMetricHasBeenSet = false;
  };
 
} // namespace Model
} // namespace ForecastService
} // namespace Aws