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DataSource object from an
Amazon Relational Database Service (Amazon RDS). A DataSource references
data that can be used to perform CreateMLModel, CreateEvaluation, or
CreateBatchPrediction operations.
CreateDataSourceFromRDS is an asynchronous operation. In response to
CreateDataSourceFromRDS, 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.
Namespace: Amazon.MachineLearning.Model
Assembly: AWSSDK.dll
Version: (assembly version)
public class CreateDataSourceFromRDSRequest : AmazonMachineLearningRequest IRequestEvents
The CreateDataSourceFromRDSRequest type exposes the following members
| Name | Description | |
|---|---|---|
|
CreateDataSourceFromRDSRequest() |
| Name | Type | Description | |
|---|---|---|---|
|
ComputeStatistics | System.Boolean |
Gets and sets the property ComputeStatistics.
The compute statistics for a |
|
DataSourceId | System.String |
Gets and sets the property DataSourceId.
A user-supplied ID that uniquely identifies the |
|
DataSourceName | System.String |
Gets and sets the property DataSourceName.
A user-supplied name or description of the |
|
RDSData | Amazon.MachineLearning.Model.RDSDataSpec |
Gets and sets the property RDSData.
The data specification of an Amazon RDS
|
|
RoleARN | System.String |
Gets and sets the property RoleARN.
The role that Amazon ML assumes on behalf of the user to create and activate a data
pipeline in the user’s account and copy data (using the |
.NET Framework:
Supported in: 4.5, 4.0, 3.5