CreateDataSourceFromS3Request Class

Container for the parameters to the CreateDataSourceFromS3 operation. Creates a DataSource object. A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.

CreateDataSourceFromS3 is an asynchronous operation. In response to CreateDataSourceFromS3, Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING. After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED. DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.

If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.

The observation data used in a DataSource should be ready to use; that is, it should have a consistent structure, and missing data values should be kept to a minimum. The observation data must reside in one or more CSV files in an Amazon Simple Storage Service (Amazon S3) bucket, along with a schema that describes the data items by name and type. The same schema must be used for all of the data files referenced by the DataSource.

After the DataSource has been created, it's ready to use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel, the DataSource requires another item: a recipe. A recipe describes the observation variables that participate in training an MLModel. A recipe describes how each input variable will be used in training. Will the variable be included or excluded from training? Will the variable be manipulated, for example, combined with another variable, or split apart into word combinations? The recipe provides answers to these questions. For more information, see the Amazon Machine Learning Developer Guide.

Inheritance Hierarchy

System.Object
  Amazon.Runtime.AmazonWebServiceRequest
    Amazon.MachineLearning.AmazonMachineLearningRequest
      Amazon.MachineLearning.Model.CreateDataSourceFromS3Request

Namespace: Amazon.MachineLearning.Model
Assembly: AWSSDK.dll
Version: (assembly version)

Syntax

public class CreateDataSourceFromS3Request : AmazonMachineLearningRequest
         IRequestEvents

The CreateDataSourceFromS3Request type exposes the following members

Constructors

	Name	Description
	CreateDataSourceFromS3Request()

Properties

Name	Type	Description
ComputeStatistics	System.Boolean	Gets and sets the property 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 an `MLModel` training. This parameter must be set to `true` if the DataSource needs to be used for `MLModel` training
DataSourceId	System.String	Gets and sets the property DataSourceId. A user-supplied identifier that uniquely identifies the `DataSource`.
DataSourceName	System.String	Gets and sets the property DataSourceName. A user-supplied name or description of the `DataSource`.
DataSpec	Amazon.MachineLearning.Model.S3DataSpec	Gets and sets the property DataSpec. The data specification of a `DataSource`: DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data. DataSchemaLocationS3 - 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 representing the splitting requirement of a `Datasource`. Sample - `"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"`

Version Information

.NET Framework:
Supported in: 4.5, 4.0, 3.5