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Creates a new
MLModel using the
DataSource and the recipe
as information sources.
MLModel is nearly immutable. Users can update only 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 has been created and
ready is for use, Amazon ML sets the status to
You can use the
GetMLModel operation to check the progress of the
during the creation operation.
CreateMLModel requires a
DataSource with computed statistics,
which can be created by setting
For .NET Core and PCL this operation is only available in asynchronous form. Please refer to CreateMLModelAsync.
public abstract 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
Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms