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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 abstract CreateDataSourceFromRedshiftResponse CreateDataSourceFromRedshift( CreateDataSourceFromRedshiftRequest request )
Container for the necessary parameters to execute the CreateDataSourceFromRedshift service method.
|IdempotentParameterMismatchException||A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.|
|InternalServerException||An error on the server occurred when trying to process a request.|
|InvalidInputException||An error on the client occurred. Typically, the cause is an invalid input value.|
Supported in: 4.5, 4.0, 3.5