120 lines
3.5 KiB
C
120 lines
3.5 KiB
C
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/**
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* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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* SPDX-License-Identifier: Apache-2.0.
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*/
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#pragma once
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#include <aws/rekognition/Rekognition_EXPORTS.h>
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#include <aws/core/utils/memory/stl/AWSVector.h>
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#include <aws/rekognition/model/Asset.h>
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#include <utility>
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namespace Aws
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{
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namespace Utils
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{
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namespace Json
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{
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class JsonValue;
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class JsonView;
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} // namespace Json
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} // namespace Utils
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namespace Rekognition
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{
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namespace Model
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{
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/**
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* <p>The dataset used for testing. Optionally, if <code>AutoCreate</code> is set,
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* Amazon Rekognition Custom Labels creates a testing dataset using an 80/20 split
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* of the training dataset.</p><p><h3>See Also:</h3> <a
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* href="http://docs.aws.amazon.com/goto/WebAPI/rekognition-2016-06-27/TestingData">AWS
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* API Reference</a></p>
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*/
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class AWS_REKOGNITION_API TestingData
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{
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public:
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TestingData();
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TestingData(Aws::Utils::Json::JsonView jsonValue);
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TestingData& operator=(Aws::Utils::Json::JsonView jsonValue);
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Aws::Utils::Json::JsonValue Jsonize() const;
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/**
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* <p>The assets used for testing.</p>
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*/
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inline const Aws::Vector<Asset>& GetAssets() const{ return m_assets; }
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/**
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* <p>The assets used for testing.</p>
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*/
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inline bool AssetsHasBeenSet() const { return m_assetsHasBeenSet; }
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/**
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* <p>The assets used for testing.</p>
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*/
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inline void SetAssets(const Aws::Vector<Asset>& value) { m_assetsHasBeenSet = true; m_assets = value; }
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/**
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* <p>The assets used for testing.</p>
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*/
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inline void SetAssets(Aws::Vector<Asset>&& value) { m_assetsHasBeenSet = true; m_assets = std::move(value); }
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/**
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* <p>The assets used for testing.</p>
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*/
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inline TestingData& WithAssets(const Aws::Vector<Asset>& value) { SetAssets(value); return *this;}
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/**
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* <p>The assets used for testing.</p>
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*/
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inline TestingData& WithAssets(Aws::Vector<Asset>&& value) { SetAssets(std::move(value)); return *this;}
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/**
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* <p>The assets used for testing.</p>
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*/
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inline TestingData& AddAssets(const Asset& value) { m_assetsHasBeenSet = true; m_assets.push_back(value); return *this; }
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/**
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* <p>The assets used for testing.</p>
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*/
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inline TestingData& AddAssets(Asset&& value) { m_assetsHasBeenSet = true; m_assets.push_back(std::move(value)); return *this; }
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/**
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* <p>If specified, Amazon Rekognition Custom Labels creates a testing dataset with
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* an 80/20 split of the training dataset.</p>
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*/
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inline bool GetAutoCreate() const{ return m_autoCreate; }
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/**
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* <p>If specified, Amazon Rekognition Custom Labels creates a testing dataset with
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* an 80/20 split of the training dataset.</p>
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*/
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inline bool AutoCreateHasBeenSet() const { return m_autoCreateHasBeenSet; }
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/**
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* <p>If specified, Amazon Rekognition Custom Labels creates a testing dataset with
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* an 80/20 split of the training dataset.</p>
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*/
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inline void SetAutoCreate(bool value) { m_autoCreateHasBeenSet = true; m_autoCreate = value; }
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/**
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* <p>If specified, Amazon Rekognition Custom Labels creates a testing dataset with
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* an 80/20 split of the training dataset.</p>
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*/
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inline TestingData& WithAutoCreate(bool value) { SetAutoCreate(value); return *this;}
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private:
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Aws::Vector<Asset> m_assets;
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bool m_assetsHasBeenSet;
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bool m_autoCreate;
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bool m_autoCreateHasBeenSet;
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};
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} // namespace Model
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} // namespace Rekognition
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} // namespace Aws
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