/**
 * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * SPDX-License-Identifier: Apache-2.0.
 */

#pragma once
#include <aws/glue/Glue_EXPORTS.h>
#include <aws/core/utils/memory/stl/AWSString.h>
#include <aws/glue/model/TransformStatusType.h>
#include <aws/core/utils/DateTime.h>
#include <aws/core/utils/memory/stl/AWSVector.h>
#include <aws/glue/model/TransformParameters.h>
#include <aws/glue/model/EvaluationMetrics.h>
#include <aws/glue/model/WorkerType.h>
#include <aws/glue/model/TransformEncryption.h>
#include <aws/glue/model/GlueTable.h>
#include <aws/glue/model/SchemaColumn.h>
#include <utility>

namespace Aws
{
namespace Utils
{
namespace Json
{
  class JsonValue;
  class JsonView;
} // namespace Json
} // namespace Utils
namespace Glue
{
namespace Model
{

  /**
   * <p>A structure for a machine learning transform.</p><p><h3>See Also:</h3>   <a
   * href="http://docs.aws.amazon.com/goto/WebAPI/glue-2017-03-31/MLTransform">AWS
   * API Reference</a></p>
   */
  class MLTransform
  {
  public:
    AWS_GLUE_API MLTransform();
    AWS_GLUE_API MLTransform(Aws::Utils::Json::JsonView jsonValue);
    AWS_GLUE_API MLTransform& operator=(Aws::Utils::Json::JsonView jsonValue);
    AWS_GLUE_API Aws::Utils::Json::JsonValue Jsonize() const;


    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline const Aws::String& GetTransformId() const{ return m_transformId; }

    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline bool TransformIdHasBeenSet() const { return m_transformIdHasBeenSet; }

    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline void SetTransformId(const Aws::String& value) { m_transformIdHasBeenSet = true; m_transformId = value; }

    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline void SetTransformId(Aws::String&& value) { m_transformIdHasBeenSet = true; m_transformId = std::move(value); }

    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline void SetTransformId(const char* value) { m_transformIdHasBeenSet = true; m_transformId.assign(value); }

    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline MLTransform& WithTransformId(const Aws::String& value) { SetTransformId(value); return *this;}

    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline MLTransform& WithTransformId(Aws::String&& value) { SetTransformId(std::move(value)); return *this;}

    /**
     * <p>The unique transform ID that is generated for the machine learning transform.
     * The ID is guaranteed to be unique and does not change.</p>
     */
    inline MLTransform& WithTransformId(const char* value) { SetTransformId(value); return *this;}


    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline const Aws::String& GetName() const{ return m_name; }

    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline bool NameHasBeenSet() const { return m_nameHasBeenSet; }

    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline void SetName(const Aws::String& value) { m_nameHasBeenSet = true; m_name = value; }

    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline void SetName(Aws::String&& value) { m_nameHasBeenSet = true; m_name = std::move(value); }

    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline void SetName(const char* value) { m_nameHasBeenSet = true; m_name.assign(value); }

    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline MLTransform& WithName(const Aws::String& value) { SetName(value); return *this;}

    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline MLTransform& WithName(Aws::String&& value) { SetName(std::move(value)); return *this;}

    /**
     * <p>A user-defined name for the machine learning transform. Names are not
     * guaranteed unique and can be changed at any time.</p>
     */
    inline MLTransform& WithName(const char* value) { SetName(value); return *this;}


    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline const Aws::String& GetDescription() const{ return m_description; }

    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline bool DescriptionHasBeenSet() const { return m_descriptionHasBeenSet; }

    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline void SetDescription(const Aws::String& value) { m_descriptionHasBeenSet = true; m_description = value; }

    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline void SetDescription(Aws::String&& value) { m_descriptionHasBeenSet = true; m_description = std::move(value); }

    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline void SetDescription(const char* value) { m_descriptionHasBeenSet = true; m_description.assign(value); }

    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline MLTransform& WithDescription(const Aws::String& value) { SetDescription(value); return *this;}

    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline MLTransform& WithDescription(Aws::String&& value) { SetDescription(std::move(value)); return *this;}

    /**
     * <p>A user-defined, long-form description text for the machine learning
     * transform. Descriptions are not guaranteed to be unique and can be changed at
     * any time.</p>
     */
    inline MLTransform& WithDescription(const char* value) { SetDescription(value); return *this;}


    /**
     * <p>The current status of the machine learning transform.</p>
     */
    inline const TransformStatusType& GetStatus() const{ return m_status; }

    /**
     * <p>The current status of the machine learning transform.</p>
     */
    inline bool StatusHasBeenSet() const { return m_statusHasBeenSet; }

    /**
     * <p>The current status of the machine learning transform.</p>
     */
    inline void SetStatus(const TransformStatusType& value) { m_statusHasBeenSet = true; m_status = value; }

    /**
     * <p>The current status of the machine learning transform.</p>
     */
    inline void SetStatus(TransformStatusType&& value) { m_statusHasBeenSet = true; m_status = std::move(value); }

    /**
     * <p>The current status of the machine learning transform.</p>
     */
    inline MLTransform& WithStatus(const TransformStatusType& value) { SetStatus(value); return *this;}

    /**
     * <p>The current status of the machine learning transform.</p>
     */
    inline MLTransform& WithStatus(TransformStatusType&& value) { SetStatus(std::move(value)); return *this;}


    /**
     * <p>A timestamp. The time and date that this machine learning transform was
     * created.</p>
     */
    inline const Aws::Utils::DateTime& GetCreatedOn() const{ return m_createdOn; }

    /**
     * <p>A timestamp. The time and date that this machine learning transform was
     * created.</p>
     */
    inline bool CreatedOnHasBeenSet() const { return m_createdOnHasBeenSet; }

    /**
     * <p>A timestamp. The time and date that this machine learning transform was
     * created.</p>
     */
    inline void SetCreatedOn(const Aws::Utils::DateTime& value) { m_createdOnHasBeenSet = true; m_createdOn = value; }

    /**
     * <p>A timestamp. The time and date that this machine learning transform was
     * created.</p>
     */
    inline void SetCreatedOn(Aws::Utils::DateTime&& value) { m_createdOnHasBeenSet = true; m_createdOn = std::move(value); }

    /**
     * <p>A timestamp. The time and date that this machine learning transform was
     * created.</p>
     */
    inline MLTransform& WithCreatedOn(const Aws::Utils::DateTime& value) { SetCreatedOn(value); return *this;}

    /**
     * <p>A timestamp. The time and date that this machine learning transform was
     * created.</p>
     */
    inline MLTransform& WithCreatedOn(Aws::Utils::DateTime&& value) { SetCreatedOn(std::move(value)); return *this;}


    /**
     * <p>A timestamp. The last point in time when this machine learning transform was
     * modified.</p>
     */
    inline const Aws::Utils::DateTime& GetLastModifiedOn() const{ return m_lastModifiedOn; }

    /**
     * <p>A timestamp. The last point in time when this machine learning transform was
     * modified.</p>
     */
    inline bool LastModifiedOnHasBeenSet() const { return m_lastModifiedOnHasBeenSet; }

    /**
     * <p>A timestamp. The last point in time when this machine learning transform was
     * modified.</p>
     */
    inline void SetLastModifiedOn(const Aws::Utils::DateTime& value) { m_lastModifiedOnHasBeenSet = true; m_lastModifiedOn = value; }

    /**
     * <p>A timestamp. The last point in time when this machine learning transform was
     * modified.</p>
     */
    inline void SetLastModifiedOn(Aws::Utils::DateTime&& value) { m_lastModifiedOnHasBeenSet = true; m_lastModifiedOn = std::move(value); }

    /**
     * <p>A timestamp. The last point in time when this machine learning transform was
     * modified.</p>
     */
    inline MLTransform& WithLastModifiedOn(const Aws::Utils::DateTime& value) { SetLastModifiedOn(value); return *this;}

    /**
     * <p>A timestamp. The last point in time when this machine learning transform was
     * modified.</p>
     */
    inline MLTransform& WithLastModifiedOn(Aws::Utils::DateTime&& value) { SetLastModifiedOn(std::move(value)); return *this;}


    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline const Aws::Vector<GlueTable>& GetInputRecordTables() const{ return m_inputRecordTables; }

    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline bool InputRecordTablesHasBeenSet() const { return m_inputRecordTablesHasBeenSet; }

    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline void SetInputRecordTables(const Aws::Vector<GlueTable>& value) { m_inputRecordTablesHasBeenSet = true; m_inputRecordTables = value; }

    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline void SetInputRecordTables(Aws::Vector<GlueTable>&& value) { m_inputRecordTablesHasBeenSet = true; m_inputRecordTables = std::move(value); }

    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline MLTransform& WithInputRecordTables(const Aws::Vector<GlueTable>& value) { SetInputRecordTables(value); return *this;}

    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline MLTransform& WithInputRecordTables(Aws::Vector<GlueTable>&& value) { SetInputRecordTables(std::move(value)); return *this;}

    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline MLTransform& AddInputRecordTables(const GlueTable& value) { m_inputRecordTablesHasBeenSet = true; m_inputRecordTables.push_back(value); return *this; }

    /**
     * <p>A list of Glue table definitions used by the transform.</p>
     */
    inline MLTransform& AddInputRecordTables(GlueTable&& value) { m_inputRecordTablesHasBeenSet = true; m_inputRecordTables.push_back(std::move(value)); return *this; }


    /**
     * <p>A <code>TransformParameters</code> object. You can use parameters to tune
     * (customize) the behavior of the machine learning transform by specifying what
     * data it learns from and your preference on various tradeoffs (such as precious
     * vs. recall, or accuracy vs. cost).</p>
     */
    inline const TransformParameters& GetParameters() const{ return m_parameters; }

    /**
     * <p>A <code>TransformParameters</code> object. You can use parameters to tune
     * (customize) the behavior of the machine learning transform by specifying what
     * data it learns from and your preference on various tradeoffs (such as precious
     * vs. recall, or accuracy vs. cost).</p>
     */
    inline bool ParametersHasBeenSet() const { return m_parametersHasBeenSet; }

    /**
     * <p>A <code>TransformParameters</code> object. You can use parameters to tune
     * (customize) the behavior of the machine learning transform by specifying what
     * data it learns from and your preference on various tradeoffs (such as precious
     * vs. recall, or accuracy vs. cost).</p>
     */
    inline void SetParameters(const TransformParameters& value) { m_parametersHasBeenSet = true; m_parameters = value; }

    /**
     * <p>A <code>TransformParameters</code> object. You can use parameters to tune
     * (customize) the behavior of the machine learning transform by specifying what
     * data it learns from and your preference on various tradeoffs (such as precious
     * vs. recall, or accuracy vs. cost).</p>
     */
    inline void SetParameters(TransformParameters&& value) { m_parametersHasBeenSet = true; m_parameters = std::move(value); }

    /**
     * <p>A <code>TransformParameters</code> object. You can use parameters to tune
     * (customize) the behavior of the machine learning transform by specifying what
     * data it learns from and your preference on various tradeoffs (such as precious
     * vs. recall, or accuracy vs. cost).</p>
     */
    inline MLTransform& WithParameters(const TransformParameters& value) { SetParameters(value); return *this;}

    /**
     * <p>A <code>TransformParameters</code> object. You can use parameters to tune
     * (customize) the behavior of the machine learning transform by specifying what
     * data it learns from and your preference on various tradeoffs (such as precious
     * vs. recall, or accuracy vs. cost).</p>
     */
    inline MLTransform& WithParameters(TransformParameters&& value) { SetParameters(std::move(value)); return *this;}


    /**
     * <p>An <code>EvaluationMetrics</code> object. Evaluation metrics provide an
     * estimate of the quality of your machine learning transform.</p>
     */
    inline const EvaluationMetrics& GetEvaluationMetrics() const{ return m_evaluationMetrics; }

    /**
     * <p>An <code>EvaluationMetrics</code> object. Evaluation metrics provide an
     * estimate of the quality of your machine learning transform.</p>
     */
    inline bool EvaluationMetricsHasBeenSet() const { return m_evaluationMetricsHasBeenSet; }

    /**
     * <p>An <code>EvaluationMetrics</code> object. Evaluation metrics provide an
     * estimate of the quality of your machine learning transform.</p>
     */
    inline void SetEvaluationMetrics(const EvaluationMetrics& value) { m_evaluationMetricsHasBeenSet = true; m_evaluationMetrics = value; }

    /**
     * <p>An <code>EvaluationMetrics</code> object. Evaluation metrics provide an
     * estimate of the quality of your machine learning transform.</p>
     */
    inline void SetEvaluationMetrics(EvaluationMetrics&& value) { m_evaluationMetricsHasBeenSet = true; m_evaluationMetrics = std::move(value); }

    /**
     * <p>An <code>EvaluationMetrics</code> object. Evaluation metrics provide an
     * estimate of the quality of your machine learning transform.</p>
     */
    inline MLTransform& WithEvaluationMetrics(const EvaluationMetrics& value) { SetEvaluationMetrics(value); return *this;}

    /**
     * <p>An <code>EvaluationMetrics</code> object. Evaluation metrics provide an
     * estimate of the quality of your machine learning transform.</p>
     */
    inline MLTransform& WithEvaluationMetrics(EvaluationMetrics&& value) { SetEvaluationMetrics(std::move(value)); return *this;}


    /**
     * <p>A count identifier for the labeling files generated by Glue for this
     * transform. As you create a better transform, you can iteratively download,
     * label, and upload the labeling file.</p>
     */
    inline int GetLabelCount() const{ return m_labelCount; }

    /**
     * <p>A count identifier for the labeling files generated by Glue for this
     * transform. As you create a better transform, you can iteratively download,
     * label, and upload the labeling file.</p>
     */
    inline bool LabelCountHasBeenSet() const { return m_labelCountHasBeenSet; }

    /**
     * <p>A count identifier for the labeling files generated by Glue for this
     * transform. As you create a better transform, you can iteratively download,
     * label, and upload the labeling file.</p>
     */
    inline void SetLabelCount(int value) { m_labelCountHasBeenSet = true; m_labelCount = value; }

    /**
     * <p>A count identifier for the labeling files generated by Glue for this
     * transform. As you create a better transform, you can iteratively download,
     * label, and upload the labeling file.</p>
     */
    inline MLTransform& WithLabelCount(int value) { SetLabelCount(value); return *this;}


    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline const Aws::Vector<SchemaColumn>& GetSchema() const{ return m_schema; }

    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline bool SchemaHasBeenSet() const { return m_schemaHasBeenSet; }

    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline void SetSchema(const Aws::Vector<SchemaColumn>& value) { m_schemaHasBeenSet = true; m_schema = value; }

    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline void SetSchema(Aws::Vector<SchemaColumn>&& value) { m_schemaHasBeenSet = true; m_schema = std::move(value); }

    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline MLTransform& WithSchema(const Aws::Vector<SchemaColumn>& value) { SetSchema(value); return *this;}

    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline MLTransform& WithSchema(Aws::Vector<SchemaColumn>&& value) { SetSchema(std::move(value)); return *this;}

    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline MLTransform& AddSchema(const SchemaColumn& value) { m_schemaHasBeenSet = true; m_schema.push_back(value); return *this; }

    /**
     * <p>A map of key-value pairs representing the columns and data types that this
     * transform can run against. Has an upper bound of 100 columns.</p>
     */
    inline MLTransform& AddSchema(SchemaColumn&& value) { m_schemaHasBeenSet = true; m_schema.push_back(std::move(value)); return *this; }


    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline const Aws::String& GetRole() const{ return m_role; }

    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline bool RoleHasBeenSet() const { return m_roleHasBeenSet; }

    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline void SetRole(const Aws::String& value) { m_roleHasBeenSet = true; m_role = value; }

    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline void SetRole(Aws::String&& value) { m_roleHasBeenSet = true; m_role = std::move(value); }

    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline void SetRole(const char* value) { m_roleHasBeenSet = true; m_role.assign(value); }

    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline MLTransform& WithRole(const Aws::String& value) { SetRole(value); return *this;}

    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline MLTransform& WithRole(Aws::String&& value) { SetRole(std::move(value)); return *this;}

    /**
     * <p>The name or Amazon Resource Name (ARN) of the IAM role with the required
     * permissions. The required permissions include both Glue service role permissions
     * to Glue resources, and Amazon S3 permissions required by the transform. </p>
     * <ul> <li> <p>This role needs Glue service role permissions to allow access to
     * resources in Glue. See <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html">Attach
     * a Policy to IAM Users That Access Glue</a>.</p> </li> <li> <p>This role needs
     * permission to your Amazon Simple Storage Service (Amazon S3) sources, targets,
     * temporary directory, scripts, and any libraries used by the task run for this
     * transform.</p> </li> </ul>
     */
    inline MLTransform& WithRole(const char* value) { SetRole(value); return *this;}


    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline const Aws::String& GetGlueVersion() const{ return m_glueVersion; }

    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline bool GlueVersionHasBeenSet() const { return m_glueVersionHasBeenSet; }

    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline void SetGlueVersion(const Aws::String& value) { m_glueVersionHasBeenSet = true; m_glueVersion = value; }

    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline void SetGlueVersion(Aws::String&& value) { m_glueVersionHasBeenSet = true; m_glueVersion = std::move(value); }

    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline void SetGlueVersion(const char* value) { m_glueVersionHasBeenSet = true; m_glueVersion.assign(value); }

    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline MLTransform& WithGlueVersion(const Aws::String& value) { SetGlueVersion(value); return *this;}

    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline MLTransform& WithGlueVersion(Aws::String&& value) { SetGlueVersion(std::move(value)); return *this;}

    /**
     * <p>This value determines which version of Glue this machine learning transform
     * is compatible with. Glue 1.0 is recommended for most customers. If the value is
     * not set, the Glue compatibility defaults to Glue 0.9. For more information, see
     * <a
     * href="https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions">Glue
     * Versions</a> in the developer guide.</p>
     */
    inline MLTransform& WithGlueVersion(const char* value) { SetGlueVersion(value); return *this;}


    /**
     * <p>The number of Glue data processing units (DPUs) that are allocated to task
     * runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10.
     * A DPU is a relative measure of processing power that consists of 4 vCPUs of
     * compute capacity and 16 GB of memory. For more information, see the <a
     * href="http://aws.amazon.com/glue/pricing/">Glue pricing page</a>. </p> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul> <p>When the <code>WorkerType</code> field is
     * set to a value other than <code>Standard</code>, the <code>MaxCapacity</code>
     * field is set automatically and becomes read-only.</p>
     */
    inline double GetMaxCapacity() const{ return m_maxCapacity; }

    /**
     * <p>The number of Glue data processing units (DPUs) that are allocated to task
     * runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10.
     * A DPU is a relative measure of processing power that consists of 4 vCPUs of
     * compute capacity and 16 GB of memory. For more information, see the <a
     * href="http://aws.amazon.com/glue/pricing/">Glue pricing page</a>. </p> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul> <p>When the <code>WorkerType</code> field is
     * set to a value other than <code>Standard</code>, the <code>MaxCapacity</code>
     * field is set automatically and becomes read-only.</p>
     */
    inline bool MaxCapacityHasBeenSet() const { return m_maxCapacityHasBeenSet; }

    /**
     * <p>The number of Glue data processing units (DPUs) that are allocated to task
     * runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10.
     * A DPU is a relative measure of processing power that consists of 4 vCPUs of
     * compute capacity and 16 GB of memory. For more information, see the <a
     * href="http://aws.amazon.com/glue/pricing/">Glue pricing page</a>. </p> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul> <p>When the <code>WorkerType</code> field is
     * set to a value other than <code>Standard</code>, the <code>MaxCapacity</code>
     * field is set automatically and becomes read-only.</p>
     */
    inline void SetMaxCapacity(double value) { m_maxCapacityHasBeenSet = true; m_maxCapacity = value; }

    /**
     * <p>The number of Glue data processing units (DPUs) that are allocated to task
     * runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10.
     * A DPU is a relative measure of processing power that consists of 4 vCPUs of
     * compute capacity and 16 GB of memory. For more information, see the <a
     * href="http://aws.amazon.com/glue/pricing/">Glue pricing page</a>. </p> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul> <p>When the <code>WorkerType</code> field is
     * set to a value other than <code>Standard</code>, the <code>MaxCapacity</code>
     * field is set automatically and becomes read-only.</p>
     */
    inline MLTransform& WithMaxCapacity(double value) { SetMaxCapacity(value); return *this;}


    /**
     * <p>The type of predefined worker that is allocated when a task of this transform
     * runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the
     * <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
     * and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the
     * <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and
     * a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the
     * <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and
     * a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul>
     */
    inline const WorkerType& GetWorkerType() const{ return m_workerType; }

    /**
     * <p>The type of predefined worker that is allocated when a task of this transform
     * runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the
     * <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
     * and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the
     * <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and
     * a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the
     * <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and
     * a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul>
     */
    inline bool WorkerTypeHasBeenSet() const { return m_workerTypeHasBeenSet; }

    /**
     * <p>The type of predefined worker that is allocated when a task of this transform
     * runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the
     * <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
     * and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the
     * <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and
     * a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the
     * <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and
     * a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul>
     */
    inline void SetWorkerType(const WorkerType& value) { m_workerTypeHasBeenSet = true; m_workerType = value; }

    /**
     * <p>The type of predefined worker that is allocated when a task of this transform
     * runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the
     * <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
     * and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the
     * <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and
     * a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the
     * <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and
     * a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul>
     */
    inline void SetWorkerType(WorkerType&& value) { m_workerTypeHasBeenSet = true; m_workerType = std::move(value); }

    /**
     * <p>The type of predefined worker that is allocated when a task of this transform
     * runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the
     * <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
     * and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the
     * <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and
     * a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the
     * <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and
     * a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul>
     */
    inline MLTransform& WithWorkerType(const WorkerType& value) { SetWorkerType(value); return *this;}

    /**
     * <p>The type of predefined worker that is allocated when a task of this transform
     * runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the
     * <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
     * and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the
     * <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and
     * a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the
     * <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and
     * a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p>
     * <code>MaxCapacity</code> is a mutually exclusive option with
     * <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If
     * either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then
     * <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If
     * <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or
     * <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code>
     * is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     * </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must
     * both be at least 1.</p> </li> </ul>
     */
    inline MLTransform& WithWorkerType(WorkerType&& value) { SetWorkerType(std::move(value)); return *this;}


    /**
     * <p>The number of workers of a defined <code>workerType</code> that are allocated
     * when a task of the transform runs.</p> <p>If <code>WorkerType</code> is set,
     * then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     */
    inline int GetNumberOfWorkers() const{ return m_numberOfWorkers; }

    /**
     * <p>The number of workers of a defined <code>workerType</code> that are allocated
     * when a task of the transform runs.</p> <p>If <code>WorkerType</code> is set,
     * then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     */
    inline bool NumberOfWorkersHasBeenSet() const { return m_numberOfWorkersHasBeenSet; }

    /**
     * <p>The number of workers of a defined <code>workerType</code> that are allocated
     * when a task of the transform runs.</p> <p>If <code>WorkerType</code> is set,
     * then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     */
    inline void SetNumberOfWorkers(int value) { m_numberOfWorkersHasBeenSet = true; m_numberOfWorkers = value; }

    /**
     * <p>The number of workers of a defined <code>workerType</code> that are allocated
     * when a task of the transform runs.</p> <p>If <code>WorkerType</code> is set,
     * then <code>NumberOfWorkers</code> is required (and vice versa).</p>
     */
    inline MLTransform& WithNumberOfWorkers(int value) { SetNumberOfWorkers(value); return *this;}


    /**
     * <p>The timeout in minutes of the machine learning transform.</p>
     */
    inline int GetTimeout() const{ return m_timeout; }

    /**
     * <p>The timeout in minutes of the machine learning transform.</p>
     */
    inline bool TimeoutHasBeenSet() const { return m_timeoutHasBeenSet; }

    /**
     * <p>The timeout in minutes of the machine learning transform.</p>
     */
    inline void SetTimeout(int value) { m_timeoutHasBeenSet = true; m_timeout = value; }

    /**
     * <p>The timeout in minutes of the machine learning transform.</p>
     */
    inline MLTransform& WithTimeout(int value) { SetTimeout(value); return *this;}


    /**
     * <p>The maximum number of times to retry after an <code>MLTaskRun</code> of the
     * machine learning transform fails.</p>
     */
    inline int GetMaxRetries() const{ return m_maxRetries; }

    /**
     * <p>The maximum number of times to retry after an <code>MLTaskRun</code> of the
     * machine learning transform fails.</p>
     */
    inline bool MaxRetriesHasBeenSet() const { return m_maxRetriesHasBeenSet; }

    /**
     * <p>The maximum number of times to retry after an <code>MLTaskRun</code> of the
     * machine learning transform fails.</p>
     */
    inline void SetMaxRetries(int value) { m_maxRetriesHasBeenSet = true; m_maxRetries = value; }

    /**
     * <p>The maximum number of times to retry after an <code>MLTaskRun</code> of the
     * machine learning transform fails.</p>
     */
    inline MLTransform& WithMaxRetries(int value) { SetMaxRetries(value); return *this;}


    /**
     * <p>The encryption-at-rest settings of the transform that apply to accessing user
     * data. Machine learning transforms can access user data encrypted in Amazon S3
     * using KMS.</p>
     */
    inline const TransformEncryption& GetTransformEncryption() const{ return m_transformEncryption; }

    /**
     * <p>The encryption-at-rest settings of the transform that apply to accessing user
     * data. Machine learning transforms can access user data encrypted in Amazon S3
     * using KMS.</p>
     */
    inline bool TransformEncryptionHasBeenSet() const { return m_transformEncryptionHasBeenSet; }

    /**
     * <p>The encryption-at-rest settings of the transform that apply to accessing user
     * data. Machine learning transforms can access user data encrypted in Amazon S3
     * using KMS.</p>
     */
    inline void SetTransformEncryption(const TransformEncryption& value) { m_transformEncryptionHasBeenSet = true; m_transformEncryption = value; }

    /**
     * <p>The encryption-at-rest settings of the transform that apply to accessing user
     * data. Machine learning transforms can access user data encrypted in Amazon S3
     * using KMS.</p>
     */
    inline void SetTransformEncryption(TransformEncryption&& value) { m_transformEncryptionHasBeenSet = true; m_transformEncryption = std::move(value); }

    /**
     * <p>The encryption-at-rest settings of the transform that apply to accessing user
     * data. Machine learning transforms can access user data encrypted in Amazon S3
     * using KMS.</p>
     */
    inline MLTransform& WithTransformEncryption(const TransformEncryption& value) { SetTransformEncryption(value); return *this;}

    /**
     * <p>The encryption-at-rest settings of the transform that apply to accessing user
     * data. Machine learning transforms can access user data encrypted in Amazon S3
     * using KMS.</p>
     */
    inline MLTransform& WithTransformEncryption(TransformEncryption&& value) { SetTransformEncryption(std::move(value)); return *this;}

  private:

    Aws::String m_transformId;
    bool m_transformIdHasBeenSet = false;

    Aws::String m_name;
    bool m_nameHasBeenSet = false;

    Aws::String m_description;
    bool m_descriptionHasBeenSet = false;

    TransformStatusType m_status;
    bool m_statusHasBeenSet = false;

    Aws::Utils::DateTime m_createdOn;
    bool m_createdOnHasBeenSet = false;

    Aws::Utils::DateTime m_lastModifiedOn;
    bool m_lastModifiedOnHasBeenSet = false;

    Aws::Vector<GlueTable> m_inputRecordTables;
    bool m_inputRecordTablesHasBeenSet = false;

    TransformParameters m_parameters;
    bool m_parametersHasBeenSet = false;

    EvaluationMetrics m_evaluationMetrics;
    bool m_evaluationMetricsHasBeenSet = false;

    int m_labelCount;
    bool m_labelCountHasBeenSet = false;

    Aws::Vector<SchemaColumn> m_schema;
    bool m_schemaHasBeenSet = false;

    Aws::String m_role;
    bool m_roleHasBeenSet = false;

    Aws::String m_glueVersion;
    bool m_glueVersionHasBeenSet = false;

    double m_maxCapacity;
    bool m_maxCapacityHasBeenSet = false;

    WorkerType m_workerType;
    bool m_workerTypeHasBeenSet = false;

    int m_numberOfWorkers;
    bool m_numberOfWorkersHasBeenSet = false;

    int m_timeout;
    bool m_timeoutHasBeenSet = false;

    int m_maxRetries;
    bool m_maxRetriesHasBeenSet = false;

    TransformEncryption m_transformEncryption;
    bool m_transformEncryptionHasBeenSet = false;
  };

} // namespace Model
} // namespace Glue
} // namespace Aws