AWS services or capabilities described in AWS Documentation may vary by region/location. Click Getting Started with Amazon AWS to see specific differences applicable to the China (Beijing) Region.
MLModelis evaluated on a set of observations associated to a
DataSource. Like a
Evaluationcontains values for the Target Variable. The
Evaluationcompares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the
MLModelfunctions on the test data. Evaluation generates a relevant performance metric such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding
CreateEvaluation is an asynchronous operation. In response to
Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status
PENDING. After the
Evaluation is created and ready for
use, Amazon ML sets the status to
You can use the GetEvaluation operation to check progress of the evaluation during the creation operation.
Version: (assembly version)
public virtual CreateEvaluationResponse CreateEvaluation( CreateEvaluationRequest request )
Container for the necessary parameters to execute the CreateEvaluation 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