/** * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * SPDX-License-Identifier: Apache-2.0. */ #pragma once #include #include #include #include #include namespace Aws { namespace MachineLearning { namespace Model { /** */ class CreateDataSourceFromS3Request : public MachineLearningRequest { public: AWS_MACHINELEARNING_API CreateDataSourceFromS3Request(); // Service request name is the Operation name which will send this request out, // each operation should has unique request name, so that we can get operation's name from this request. // Note: this is not true for response, multiple operations may have the same response name, // so we can not get operation's name from response. inline virtual const char* GetServiceRequestName() const override { return "CreateDataSourceFromS3"; } AWS_MACHINELEARNING_API Aws::String SerializePayload() const override; AWS_MACHINELEARNING_API Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override; /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline const Aws::String& GetDataSourceId() const{ return m_dataSourceId; } /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline bool DataSourceIdHasBeenSet() const { return m_dataSourceIdHasBeenSet; } /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline void SetDataSourceId(const Aws::String& value) { m_dataSourceIdHasBeenSet = true; m_dataSourceId = value; } /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline void SetDataSourceId(Aws::String&& value) { m_dataSourceIdHasBeenSet = true; m_dataSourceId = std::move(value); } /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline void SetDataSourceId(const char* value) { m_dataSourceIdHasBeenSet = true; m_dataSourceId.assign(value); } /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline CreateDataSourceFromS3Request& WithDataSourceId(const Aws::String& value) { SetDataSourceId(value); return *this;} /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline CreateDataSourceFromS3Request& WithDataSourceId(Aws::String&& value) { SetDataSourceId(std::move(value)); return *this;} /** *

A user-supplied identifier that uniquely identifies the * DataSource.

*/ inline CreateDataSourceFromS3Request& WithDataSourceId(const char* value) { SetDataSourceId(value); return *this;} /** *

A user-supplied name or description of the DataSource.

*/ inline const Aws::String& GetDataSourceName() const{ return m_dataSourceName; } /** *

A user-supplied name or description of the DataSource.

*/ inline bool DataSourceNameHasBeenSet() const { return m_dataSourceNameHasBeenSet; } /** *

A user-supplied name or description of the DataSource.

*/ inline void SetDataSourceName(const Aws::String& value) { m_dataSourceNameHasBeenSet = true; m_dataSourceName = value; } /** *

A user-supplied name or description of the DataSource.

*/ inline void SetDataSourceName(Aws::String&& value) { m_dataSourceNameHasBeenSet = true; m_dataSourceName = std::move(value); } /** *

A user-supplied name or description of the DataSource.

*/ inline void SetDataSourceName(const char* value) { m_dataSourceNameHasBeenSet = true; m_dataSourceName.assign(value); } /** *

A user-supplied name or description of the DataSource.

*/ inline CreateDataSourceFromS3Request& WithDataSourceName(const Aws::String& value) { SetDataSourceName(value); return *this;} /** *

A user-supplied name or description of the DataSource.

*/ inline CreateDataSourceFromS3Request& WithDataSourceName(Aws::String&& value) { SetDataSourceName(std::move(value)); return *this;} /** *

A user-supplied name or description of the DataSource.

*/ inline CreateDataSourceFromS3Request& WithDataSourceName(const char* value) { SetDataSourceName(value); return *this;} /** *

The data specification of a DataSource:

  • *

    DataLocationS3 - The Amazon S3 location of the observation data.

  • *
  • DataSchemaLocationS3 - The Amazon S3 location of the * DataSchema.

  • DataSchema - A JSON string * representing the schema. This is not required if DataSchemaUri is * specified.

  • DataRearrangement - A JSON string that represents * the splitting and rearrangement requirements for the Datasource. *

    Sample - * "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

  • *
*/ inline const S3DataSpec& GetDataSpec() const{ return m_dataSpec; } /** *

The data specification of a DataSource:

  • *

    DataLocationS3 - The Amazon S3 location of the observation data.

  • *
  • DataSchemaLocationS3 - The Amazon S3 location of the * DataSchema.

  • DataSchema - A JSON string * representing the schema. This is not required if DataSchemaUri is * specified.

  • DataRearrangement - A JSON string that represents * the splitting and rearrangement requirements for the Datasource. *

    Sample - * "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

  • *
*/ inline bool DataSpecHasBeenSet() const { return m_dataSpecHasBeenSet; } /** *

The data specification of a DataSource:

  • *

    DataLocationS3 - The Amazon S3 location of the observation data.

  • *
  • DataSchemaLocationS3 - The Amazon S3 location of the * DataSchema.

  • DataSchema - A JSON string * representing the schema. This is not required if DataSchemaUri is * specified.

  • DataRearrangement - A JSON string that represents * the splitting and rearrangement requirements for the Datasource. *

    Sample - * "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

  • *
*/ inline void SetDataSpec(const S3DataSpec& value) { m_dataSpecHasBeenSet = true; m_dataSpec = value; } /** *

The data specification of a DataSource:

  • *

    DataLocationS3 - The Amazon S3 location of the observation data.

  • *
  • DataSchemaLocationS3 - The Amazon S3 location of the * DataSchema.

  • DataSchema - A JSON string * representing the schema. This is not required if DataSchemaUri is * specified.

  • DataRearrangement - A JSON string that represents * the splitting and rearrangement requirements for the Datasource. *

    Sample - * "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

  • *
*/ inline void SetDataSpec(S3DataSpec&& value) { m_dataSpecHasBeenSet = true; m_dataSpec = std::move(value); } /** *

The data specification of a DataSource:

  • *

    DataLocationS3 - The Amazon S3 location of the observation data.

  • *
  • DataSchemaLocationS3 - The Amazon S3 location of the * DataSchema.

  • DataSchema - A JSON string * representing the schema. This is not required if DataSchemaUri is * specified.

  • DataRearrangement - A JSON string that represents * the splitting and rearrangement requirements for the Datasource. *

    Sample - * "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

  • *
*/ inline CreateDataSourceFromS3Request& WithDataSpec(const S3DataSpec& value) { SetDataSpec(value); return *this;} /** *

The data specification of a DataSource:

  • *

    DataLocationS3 - The Amazon S3 location of the observation data.

  • *
  • DataSchemaLocationS3 - The Amazon S3 location of the * DataSchema.

  • DataSchema - A JSON string * representing the schema. This is not required if DataSchemaUri is * specified.

  • DataRearrangement - A JSON string that represents * the splitting and rearrangement requirements for the Datasource. *

    Sample - * "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

  • *
*/ inline CreateDataSourceFromS3Request& WithDataSpec(S3DataSpec&& value) { SetDataSpec(std::move(value)); return *this;} /** *

The compute statistics for a DataSource. The statistics are * generated from the observation data referenced by a DataSource. * Amazon ML uses the statistics internally during MLModel training. * This parameter must be set to true if the DataSource * needs to be used for MLModel training.

*/ inline bool GetComputeStatistics() const{ return m_computeStatistics; } /** *

The compute statistics for a DataSource. The statistics are * generated from the observation data referenced by a DataSource. * Amazon ML uses the statistics internally during MLModel training. * This parameter must be set to true if the DataSource * needs to be used for MLModel training.

*/ inline bool ComputeStatisticsHasBeenSet() const { return m_computeStatisticsHasBeenSet; } /** *

The compute statistics for a DataSource. The statistics are * generated from the observation data referenced by a DataSource. * Amazon ML uses the statistics internally during MLModel training. * This parameter must be set to true if the DataSource * needs to be used for MLModel training.

*/ inline void SetComputeStatistics(bool value) { m_computeStatisticsHasBeenSet = true; m_computeStatistics = value; } /** *

The compute statistics for a DataSource. The statistics are * generated from the observation data referenced by a DataSource. * Amazon ML uses the statistics internally during MLModel training. * This parameter must be set to true if the DataSource * needs to be used for MLModel training.

*/ inline CreateDataSourceFromS3Request& WithComputeStatistics(bool value) { SetComputeStatistics(value); return *this;} private: Aws::String m_dataSourceId; bool m_dataSourceIdHasBeenSet = false; Aws::String m_dataSourceName; bool m_dataSourceNameHasBeenSet = false; S3DataSpec m_dataSpec; bool m_dataSpecHasBeenSet = false; bool m_computeStatistics; bool m_computeStatisticsHasBeenSet = false; }; } // namespace Model } // namespace MachineLearning } // namespace Aws