MLModelusing the data files and the recipe as information sources.
MLModel is nearly immutable. Users can only update the
ScoreThreshold in an
MLModel without creating a
CreateMLModel is an asynchronous operation. In response to
Amazon Machine Learning (Amazon ML) immediately returns and sets the
PENDING. After the
MLModel is created and ready
for use, Amazon ML sets the status to
You can use the GetMLModel operation to check progress of the
during the creation operation.
CreateMLModel requires a
DataSource with computed statistics,
which can be created by setting
in CreateDataSourceFromRDS, CreateDataSourceFromS3, or CreateDataSourceFromRedshift
Version: (assembly version)
public virtual CreateMLModelResponse CreateMLModel( CreateMLModelRequest request )
Container for the necessary parameters to execute the CreateMLModel 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