DataSourcefrom Amazon Redshift. A
DataSourcereferences data that can be used to perform either CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.
CreateDataSourceFromRedshift is an asynchronous operation. In response
CreateDataSourceFromRedshift, Amazon Machine Learning (Amazon ML)
immediately returns and sets the
DataSource status to
DataSource is created and ready for use, Amazon ML sets the
Status parameter to
PENDING status can only be used to perform
CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
If Amazon ML cannot accept the input source, it sets the
FAILED and includes an error message in the
of the GetDataSource operation response.
The observations should exist in the database hosted on an Amazon Redshift cluster
and should be specified by a
SelectSqlQuery. Amazon ML executes
Unload command in Amazon Redshift to transfer the result set of
DataSource is created, it's ready for use in evaluations and
batch predictions. If you plan to use the
DataSource to train an
DataSource requires another item -- a recipe. A recipe describes
the observation variables that participate in training an
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
Version: (assembly version)
public class CreateDataSourceFromRedshiftRequest : AmazonMachineLearningRequest IRequestEvents
The CreateDataSourceFromRedshiftRequest type exposes the following members
Gets and sets the property ComputeStatistics.
The compute statistics for a
Gets and sets the property DataSourceId.
A user-supplied ID that uniquely identifies the
Gets and sets the property DataSourceName.
A user-supplied name or description of the
Gets and sets the property DataSpec.
The data specification of an Amazon Redshift
Gets and sets the property RoleARN.
A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:
Supported in: 4.5, 4.0, 3.5