/** * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * SPDX-License-Identifier: Apache-2.0. */ #pragma once #include #include #include #include #include namespace Aws { namespace Utils { namespace Json { class JsonValue; class JsonView; } // namespace Json } // namespace Utils namespace MachineLearning { namespace Model { /** *

The output from a Predict operation:

  • * Details - Contains the following attributes: * DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | * MULTICLASS DetailsAttributes.ALGORITHM - SGD

  • *

    PredictedLabel - Present for either a BINARY or * MULTICLASS MLModel request.

  • * PredictedScores - Contains the raw classification score * corresponding to each label.

  • PredictedValue - * Present for a REGRESSION MLModel request.

  • *

See Also:

AWS * API Reference

*/ class Prediction { public: AWS_MACHINELEARNING_API Prediction(); AWS_MACHINELEARNING_API Prediction(Aws::Utils::Json::JsonView jsonValue); AWS_MACHINELEARNING_API Prediction& operator=(Aws::Utils::Json::JsonView jsonValue); AWS_MACHINELEARNING_API Aws::Utils::Json::JsonValue Jsonize() const; /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline const Aws::String& GetPredictedLabel() const{ return m_predictedLabel; } /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline bool PredictedLabelHasBeenSet() const { return m_predictedLabelHasBeenSet; } /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline void SetPredictedLabel(const Aws::String& value) { m_predictedLabelHasBeenSet = true; m_predictedLabel = value; } /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline void SetPredictedLabel(Aws::String&& value) { m_predictedLabelHasBeenSet = true; m_predictedLabel = std::move(value); } /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline void SetPredictedLabel(const char* value) { m_predictedLabelHasBeenSet = true; m_predictedLabel.assign(value); } /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline Prediction& WithPredictedLabel(const Aws::String& value) { SetPredictedLabel(value); return *this;} /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline Prediction& WithPredictedLabel(Aws::String&& value) { SetPredictedLabel(std::move(value)); return *this;} /** *

The prediction label for either a BINARY or * MULTICLASS MLModel.

*/ inline Prediction& WithPredictedLabel(const char* value) { SetPredictedLabel(value); return *this;} /** *

The prediction value for REGRESSION MLModel.

*/ inline double GetPredictedValue() const{ return m_predictedValue; } /** *

The prediction value for REGRESSION MLModel.

*/ inline bool PredictedValueHasBeenSet() const { return m_predictedValueHasBeenSet; } /** *

The prediction value for REGRESSION MLModel.

*/ inline void SetPredictedValue(double value) { m_predictedValueHasBeenSet = true; m_predictedValue = value; } /** *

The prediction value for REGRESSION MLModel.

*/ inline Prediction& WithPredictedValue(double value) { SetPredictedValue(value); return *this;} inline const Aws::Map& GetPredictedScores() const{ return m_predictedScores; } inline bool PredictedScoresHasBeenSet() const { return m_predictedScoresHasBeenSet; } inline void SetPredictedScores(const Aws::Map& value) { m_predictedScoresHasBeenSet = true; m_predictedScores = value; } inline void SetPredictedScores(Aws::Map&& value) { m_predictedScoresHasBeenSet = true; m_predictedScores = std::move(value); } inline Prediction& WithPredictedScores(const Aws::Map& value) { SetPredictedScores(value); return *this;} inline Prediction& WithPredictedScores(Aws::Map&& value) { SetPredictedScores(std::move(value)); return *this;} inline Prediction& AddPredictedScores(const Aws::String& key, double value) { m_predictedScoresHasBeenSet = true; m_predictedScores.emplace(key, value); return *this; } inline Prediction& AddPredictedScores(Aws::String&& key, double value) { m_predictedScoresHasBeenSet = true; m_predictedScores.emplace(std::move(key), value); return *this; } inline Prediction& AddPredictedScores(const char* key, double value) { m_predictedScoresHasBeenSet = true; m_predictedScores.emplace(key, value); return *this; } inline const Aws::Map& GetDetails() const{ return m_details; } inline bool DetailsHasBeenSet() const { return m_detailsHasBeenSet; } inline void SetDetails(const Aws::Map& value) { m_detailsHasBeenSet = true; m_details = value; } inline void SetDetails(Aws::Map&& value) { m_detailsHasBeenSet = true; m_details = std::move(value); } inline Prediction& WithDetails(const Aws::Map& value) { SetDetails(value); return *this;} inline Prediction& WithDetails(Aws::Map&& value) { SetDetails(std::move(value)); return *this;} inline Prediction& AddDetails(const DetailsAttributes& key, const Aws::String& value) { m_detailsHasBeenSet = true; m_details.emplace(key, value); return *this; } inline Prediction& AddDetails(DetailsAttributes&& key, const Aws::String& value) { m_detailsHasBeenSet = true; m_details.emplace(std::move(key), value); return *this; } inline Prediction& AddDetails(const DetailsAttributes& key, Aws::String&& value) { m_detailsHasBeenSet = true; m_details.emplace(key, std::move(value)); return *this; } inline Prediction& AddDetails(DetailsAttributes&& key, Aws::String&& value) { m_detailsHasBeenSet = true; m_details.emplace(std::move(key), std::move(value)); return *this; } inline Prediction& AddDetails(DetailsAttributes&& key, const char* value) { m_detailsHasBeenSet = true; m_details.emplace(std::move(key), value); return *this; } inline Prediction& AddDetails(const DetailsAttributes& key, const char* value) { m_detailsHasBeenSet = true; m_details.emplace(key, value); return *this; } private: Aws::String m_predictedLabel; bool m_predictedLabelHasBeenSet = false; double m_predictedValue; bool m_predictedValueHasBeenSet = false; Aws::Map m_predictedScores; bool m_predictedScoresHasBeenSet = false; Aws::Map m_details; bool m_detailsHasBeenSet = false; }; } // namespace Model } // namespace MachineLearning } // namespace Aws