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Creates a new Evaluation
of an MLModel
. An MLModel
is evaluated
on a set of observations associated to a DataSource
. Like a DataSource
for an MLModel
, the DataSource
for an Evaluation
contains values
for the Target Variable
. The Evaluation
compares the predicted result
for each observation to the actual outcome and provides a summary so that you know
how effective the MLModel
functions on the test data. Evaluation generates
a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore
based on the corresponding MLModelType
: BINARY
, REGRESSION
or
MULTICLASS
.
CreateEvaluation
is an asynchronous operation. In response to CreateEvaluation
,
Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status
to PENDING
. After the Evaluation
is created and ready for use, Amazon
ML sets the status to COMPLETED
.
You can use the GetEvaluation
operation to check progress of the evaluation
during the creation operation.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateEvaluationAsync.
Namespace: Amazon.MachineLearning
Assembly: AWSSDK.MachineLearning.dll
Version: 3.x.y.z
public abstract CreateEvaluationResponse CreateEvaluation( CreateEvaluationRequest request )
Container for the necessary parameters to execute the CreateEvaluation service method.
Exception | Condition |
---|---|
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. |
.NET Framework:
Supported in: 4.5, 4.0, 3.5