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Container for the parameters to the CreateEvaluation operation.
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.
Namespace: Amazon.MachineLearning.Model
Assembly: AWSSDK.MachineLearning.dll
Version: 3.x.y.z
public class CreateEvaluationRequest : AmazonMachineLearningRequest IAmazonWebServiceRequest
The CreateEvaluationRequest type exposes the following members
Name | Description | |
---|---|---|
CreateEvaluationRequest() |
Name | Type | Description | |
---|---|---|---|
EvaluationDataSourceId | System.String |
Gets and sets the property EvaluationDataSourceId.
The ID of the |
|
EvaluationId | System.String |
Gets and sets the property EvaluationId.
A user-supplied ID that uniquely identifies the |
|
EvaluationName | System.String |
Gets and sets the property EvaluationName.
A user-supplied name or description of the |
|
MLModelId | System.String |
Gets and sets the property MLModelId.
The ID of the
The schema used in creating the |
.NET Core App:
Supported in: 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5, 4.0, 3.5