453 lines
18 KiB
C
453 lines
18 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/sagemaker/SageMaker_EXPORTS.h>
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#include <aws/sagemaker/SageMakerRequest.h>
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#include <aws/core/utils/memory/stl/AWSString.h>
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#include <aws/core/utils/memory/stl/AWSVector.h>
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#include <aws/sagemaker/model/AutoMLOutputDataConfig.h>
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#include <aws/sagemaker/model/ProblemType.h>
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#include <aws/sagemaker/model/AutoMLJobObjective.h>
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#include <aws/sagemaker/model/AutoMLJobConfig.h>
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#include <aws/sagemaker/model/AutoMLChannel.h>
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#include <aws/sagemaker/model/Tag.h>
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#include <utility>
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namespace Aws
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{
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namespace SageMaker
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{
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namespace Model
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{
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/**
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*/
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class AWS_SAGEMAKER_API CreateAutoMLJobRequest : public SageMakerRequest
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{
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public:
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CreateAutoMLJobRequest();
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// Service request name is the Operation name which will send this request out,
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// each operation should has unique request name, so that we can get operation's name from this request.
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// Note: this is not true for response, multiple operations may have the same response name,
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// so we can not get operation's name from response.
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inline virtual const char* GetServiceRequestName() const override { return "CreateAutoMLJob"; }
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Aws::String SerializePayload() const override;
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Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override;
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline const Aws::String& GetAutoMLJobName() const{ return m_autoMLJobName; }
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline bool AutoMLJobNameHasBeenSet() const { return m_autoMLJobNameHasBeenSet; }
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline void SetAutoMLJobName(const Aws::String& value) { m_autoMLJobNameHasBeenSet = true; m_autoMLJobName = value; }
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline void SetAutoMLJobName(Aws::String&& value) { m_autoMLJobNameHasBeenSet = true; m_autoMLJobName = std::move(value); }
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline void SetAutoMLJobName(const char* value) { m_autoMLJobNameHasBeenSet = true; m_autoMLJobName.assign(value); }
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline CreateAutoMLJobRequest& WithAutoMLJobName(const Aws::String& value) { SetAutoMLJobName(value); return *this;}
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline CreateAutoMLJobRequest& WithAutoMLJobName(Aws::String&& value) { SetAutoMLJobName(std::move(value)); return *this;}
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/**
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* <p>Identifies an Autopilot job. Must be unique to your account and is
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* case-insensitive.</p>
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*/
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inline CreateAutoMLJobRequest& WithAutoMLJobName(const char* value) { SetAutoMLJobName(value); return *this;}
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline const Aws::Vector<AutoMLChannel>& GetInputDataConfig() const{ return m_inputDataConfig; }
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline bool InputDataConfigHasBeenSet() const { return m_inputDataConfigHasBeenSet; }
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline void SetInputDataConfig(const Aws::Vector<AutoMLChannel>& value) { m_inputDataConfigHasBeenSet = true; m_inputDataConfig = value; }
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline void SetInputDataConfig(Aws::Vector<AutoMLChannel>&& value) { m_inputDataConfigHasBeenSet = true; m_inputDataConfig = std::move(value); }
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline CreateAutoMLJobRequest& WithInputDataConfig(const Aws::Vector<AutoMLChannel>& value) { SetInputDataConfig(value); return *this;}
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline CreateAutoMLJobRequest& WithInputDataConfig(Aws::Vector<AutoMLChannel>&& value) { SetInputDataConfig(std::move(value)); return *this;}
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline CreateAutoMLJobRequest& AddInputDataConfig(const AutoMLChannel& value) { m_inputDataConfigHasBeenSet = true; m_inputDataConfig.push_back(value); return *this; }
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/**
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* <p>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
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* Minimum of 1000 rows.</p>
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*/
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inline CreateAutoMLJobRequest& AddInputDataConfig(AutoMLChannel&& value) { m_inputDataConfigHasBeenSet = true; m_inputDataConfig.push_back(std::move(value)); return *this; }
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/**
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* <p>Similar to OutputDataConfig supported by Tuning. Format(s) supported:
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* CSV.</p>
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*/
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inline const AutoMLOutputDataConfig& GetOutputDataConfig() const{ return m_outputDataConfig; }
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/**
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* <p>Similar to OutputDataConfig supported by Tuning. Format(s) supported:
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* CSV.</p>
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*/
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inline bool OutputDataConfigHasBeenSet() const { return m_outputDataConfigHasBeenSet; }
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/**
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* <p>Similar to OutputDataConfig supported by Tuning. Format(s) supported:
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* CSV.</p>
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*/
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inline void SetOutputDataConfig(const AutoMLOutputDataConfig& value) { m_outputDataConfigHasBeenSet = true; m_outputDataConfig = value; }
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/**
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* <p>Similar to OutputDataConfig supported by Tuning. Format(s) supported:
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* CSV.</p>
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*/
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inline void SetOutputDataConfig(AutoMLOutputDataConfig&& value) { m_outputDataConfigHasBeenSet = true; m_outputDataConfig = std::move(value); }
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/**
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* <p>Similar to OutputDataConfig supported by Tuning. Format(s) supported:
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* CSV.</p>
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*/
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inline CreateAutoMLJobRequest& WithOutputDataConfig(const AutoMLOutputDataConfig& value) { SetOutputDataConfig(value); return *this;}
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/**
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* <p>Similar to OutputDataConfig supported by Tuning. Format(s) supported:
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* CSV.</p>
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*/
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inline CreateAutoMLJobRequest& WithOutputDataConfig(AutoMLOutputDataConfig&& value) { SetOutputDataConfig(std::move(value)); return *this;}
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/**
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* <p>Defines the kind of preprocessing and algorithms intended for the candidates.
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* Options include: BinaryClassification, MulticlassClassification, and
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* Regression.</p>
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*/
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inline const ProblemType& GetProblemType() const{ return m_problemType; }
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/**
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* <p>Defines the kind of preprocessing and algorithms intended for the candidates.
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* Options include: BinaryClassification, MulticlassClassification, and
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* Regression.</p>
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*/
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inline bool ProblemTypeHasBeenSet() const { return m_problemTypeHasBeenSet; }
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/**
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* <p>Defines the kind of preprocessing and algorithms intended for the candidates.
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* Options include: BinaryClassification, MulticlassClassification, and
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* Regression.</p>
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*/
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inline void SetProblemType(const ProblemType& value) { m_problemTypeHasBeenSet = true; m_problemType = value; }
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/**
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* <p>Defines the kind of preprocessing and algorithms intended for the candidates.
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* Options include: BinaryClassification, MulticlassClassification, and
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* Regression.</p>
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*/
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inline void SetProblemType(ProblemType&& value) { m_problemTypeHasBeenSet = true; m_problemType = std::move(value); }
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/**
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* <p>Defines the kind of preprocessing and algorithms intended for the candidates.
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* Options include: BinaryClassification, MulticlassClassification, and
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* Regression.</p>
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*/
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inline CreateAutoMLJobRequest& WithProblemType(const ProblemType& value) { SetProblemType(value); return *this;}
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/**
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* <p>Defines the kind of preprocessing and algorithms intended for the candidates.
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* Options include: BinaryClassification, MulticlassClassification, and
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* Regression.</p>
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*/
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inline CreateAutoMLJobRequest& WithProblemType(ProblemType&& value) { SetProblemType(std::move(value)); return *this;}
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/**
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* <p>Defines the objective of a an AutoML job. You provide a
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* <a>AutoMLJobObjective$MetricName</a> and Autopilot infers whether to minimize or
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* maximize it. If a metric is not specified, the most commonly used
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* ObjectiveMetric for problem type is automaically selected.</p>
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*/
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inline const AutoMLJobObjective& GetAutoMLJobObjective() const{ return m_autoMLJobObjective; }
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/**
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* <p>Defines the objective of a an AutoML job. You provide a
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* <a>AutoMLJobObjective$MetricName</a> and Autopilot infers whether to minimize or
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* maximize it. If a metric is not specified, the most commonly used
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* ObjectiveMetric for problem type is automaically selected.</p>
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*/
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inline bool AutoMLJobObjectiveHasBeenSet() const { return m_autoMLJobObjectiveHasBeenSet; }
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/**
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* <p>Defines the objective of a an AutoML job. You provide a
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* <a>AutoMLJobObjective$MetricName</a> and Autopilot infers whether to minimize or
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* maximize it. If a metric is not specified, the most commonly used
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* ObjectiveMetric for problem type is automaically selected.</p>
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*/
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inline void SetAutoMLJobObjective(const AutoMLJobObjective& value) { m_autoMLJobObjectiveHasBeenSet = true; m_autoMLJobObjective = value; }
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/**
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* <p>Defines the objective of a an AutoML job. You provide a
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* <a>AutoMLJobObjective$MetricName</a> and Autopilot infers whether to minimize or
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* maximize it. If a metric is not specified, the most commonly used
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* ObjectiveMetric for problem type is automaically selected.</p>
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*/
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inline void SetAutoMLJobObjective(AutoMLJobObjective&& value) { m_autoMLJobObjectiveHasBeenSet = true; m_autoMLJobObjective = std::move(value); }
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/**
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* <p>Defines the objective of a an AutoML job. You provide a
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* <a>AutoMLJobObjective$MetricName</a> and Autopilot infers whether to minimize or
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* maximize it. If a metric is not specified, the most commonly used
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* ObjectiveMetric for problem type is automaically selected.</p>
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*/
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inline CreateAutoMLJobRequest& WithAutoMLJobObjective(const AutoMLJobObjective& value) { SetAutoMLJobObjective(value); return *this;}
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/**
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* <p>Defines the objective of a an AutoML job. You provide a
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* <a>AutoMLJobObjective$MetricName</a> and Autopilot infers whether to minimize or
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* maximize it. If a metric is not specified, the most commonly used
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* ObjectiveMetric for problem type is automaically selected.</p>
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*/
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inline CreateAutoMLJobRequest& WithAutoMLJobObjective(AutoMLJobObjective&& value) { SetAutoMLJobObjective(std::move(value)); return *this;}
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/**
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* <p>Contains CompletionCriteria and SecurityConfig.</p>
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*/
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inline const AutoMLJobConfig& GetAutoMLJobConfig() const{ return m_autoMLJobConfig; }
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/**
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* <p>Contains CompletionCriteria and SecurityConfig.</p>
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*/
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inline bool AutoMLJobConfigHasBeenSet() const { return m_autoMLJobConfigHasBeenSet; }
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/**
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* <p>Contains CompletionCriteria and SecurityConfig.</p>
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*/
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inline void SetAutoMLJobConfig(const AutoMLJobConfig& value) { m_autoMLJobConfigHasBeenSet = true; m_autoMLJobConfig = value; }
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/**
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* <p>Contains CompletionCriteria and SecurityConfig.</p>
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*/
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inline void SetAutoMLJobConfig(AutoMLJobConfig&& value) { m_autoMLJobConfigHasBeenSet = true; m_autoMLJobConfig = std::move(value); }
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/**
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* <p>Contains CompletionCriteria and SecurityConfig.</p>
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*/
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inline CreateAutoMLJobRequest& WithAutoMLJobConfig(const AutoMLJobConfig& value) { SetAutoMLJobConfig(value); return *this;}
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/**
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* <p>Contains CompletionCriteria and SecurityConfig.</p>
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*/
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inline CreateAutoMLJobRequest& WithAutoMLJobConfig(AutoMLJobConfig&& value) { SetAutoMLJobConfig(std::move(value)); return *this;}
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/**
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* <p>The ARN of the role that is used to access the data.</p>
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*/
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inline const Aws::String& GetRoleArn() const{ return m_roleArn; }
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/**
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* <p>The ARN of the role that is used to access the data.</p>
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*/
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inline bool RoleArnHasBeenSet() const { return m_roleArnHasBeenSet; }
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/**
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* <p>The ARN of the role that is used to access the data.</p>
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*/
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inline void SetRoleArn(const Aws::String& value) { m_roleArnHasBeenSet = true; m_roleArn = value; }
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/**
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* <p>The ARN of the role that is used to access the data.</p>
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*/
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inline void SetRoleArn(Aws::String&& value) { m_roleArnHasBeenSet = true; m_roleArn = std::move(value); }
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/**
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* <p>The ARN of the role that is used to access the data.</p>
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*/
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inline void SetRoleArn(const char* value) { m_roleArnHasBeenSet = true; m_roleArn.assign(value); }
|
|||
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|
|||
|
|
/**
|
|||
|
|
* <p>The ARN of the role that is used to access the data.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& WithRoleArn(const Aws::String& value) { SetRoleArn(value); return *this;}
|
|||
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|
|||
|
|
/**
|
|||
|
|
* <p>The ARN of the role that is used to access the data.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& WithRoleArn(Aws::String&& value) { SetRoleArn(std::move(value)); return *this;}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>The ARN of the role that is used to access the data.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& WithRoleArn(const char* value) { SetRoleArn(value); return *this;}
|
|||
|
|
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Generates possible candidates without training a model. A candidate is a
|
|||
|
|
* combination of data preprocessors, algorithms, and algorithm parameter
|
|||
|
|
* settings.</p>
|
|||
|
|
*/
|
|||
|
|
inline bool GetGenerateCandidateDefinitionsOnly() const{ return m_generateCandidateDefinitionsOnly; }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Generates possible candidates without training a model. A candidate is a
|
|||
|
|
* combination of data preprocessors, algorithms, and algorithm parameter
|
|||
|
|
* settings.</p>
|
|||
|
|
*/
|
|||
|
|
inline bool GenerateCandidateDefinitionsOnlyHasBeenSet() const { return m_generateCandidateDefinitionsOnlyHasBeenSet; }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Generates possible candidates without training a model. A candidate is a
|
|||
|
|
* combination of data preprocessors, algorithms, and algorithm parameter
|
|||
|
|
* settings.</p>
|
|||
|
|
*/
|
|||
|
|
inline void SetGenerateCandidateDefinitionsOnly(bool value) { m_generateCandidateDefinitionsOnlyHasBeenSet = true; m_generateCandidateDefinitionsOnly = value; }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Generates possible candidates without training a model. A candidate is a
|
|||
|
|
* combination of data preprocessors, algorithms, and algorithm parameter
|
|||
|
|
* settings.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& WithGenerateCandidateDefinitionsOnly(bool value) { SetGenerateCandidateDefinitionsOnly(value); return *this;}
|
|||
|
|
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline const Aws::Vector<Tag>& GetTags() const{ return m_tags; }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline bool TagsHasBeenSet() const { return m_tagsHasBeenSet; }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline void SetTags(const Aws::Vector<Tag>& value) { m_tagsHasBeenSet = true; m_tags = value; }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline void SetTags(Aws::Vector<Tag>&& value) { m_tagsHasBeenSet = true; m_tags = std::move(value); }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& WithTags(const Aws::Vector<Tag>& value) { SetTags(value); return *this;}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& WithTags(Aws::Vector<Tag>&& value) { SetTags(std::move(value)); return *this;}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& AddTags(const Tag& value) { m_tagsHasBeenSet = true; m_tags.push_back(value); return *this; }
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* <p>Each tag consists of a key and an optional value. Tag keys must be unique per
|
|||
|
|
* resource.</p>
|
|||
|
|
*/
|
|||
|
|
inline CreateAutoMLJobRequest& AddTags(Tag&& value) { m_tagsHasBeenSet = true; m_tags.push_back(std::move(value)); return *this; }
|
|||
|
|
|
|||
|
|
private:
|
|||
|
|
|
|||
|
|
Aws::String m_autoMLJobName;
|
|||
|
|
bool m_autoMLJobNameHasBeenSet;
|
|||
|
|
|
|||
|
|
Aws::Vector<AutoMLChannel> m_inputDataConfig;
|
|||
|
|
bool m_inputDataConfigHasBeenSet;
|
|||
|
|
|
|||
|
|
AutoMLOutputDataConfig m_outputDataConfig;
|
|||
|
|
bool m_outputDataConfigHasBeenSet;
|
|||
|
|
|
|||
|
|
ProblemType m_problemType;
|
|||
|
|
bool m_problemTypeHasBeenSet;
|
|||
|
|
|
|||
|
|
AutoMLJobObjective m_autoMLJobObjective;
|
|||
|
|
bool m_autoMLJobObjectiveHasBeenSet;
|
|||
|
|
|
|||
|
|
AutoMLJobConfig m_autoMLJobConfig;
|
|||
|
|
bool m_autoMLJobConfigHasBeenSet;
|
|||
|
|
|
|||
|
|
Aws::String m_roleArn;
|
|||
|
|
bool m_roleArnHasBeenSet;
|
|||
|
|
|
|||
|
|
bool m_generateCandidateDefinitionsOnly;
|
|||
|
|
bool m_generateCandidateDefinitionsOnlyHasBeenSet;
|
|||
|
|
|
|||
|
|
Aws::Vector<Tag> m_tags;
|
|||
|
|
bool m_tagsHasBeenSet;
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
} // namespace Model
|
|||
|
|
} // namespace SageMaker
|
|||
|
|
} // namespace Aws
|