amazonka-ml-1.3.7: Amazon Machine Learning SDK.

Copyright(c) 2013-2015 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone
LanguageHaskell2010

Network.AWS.MachineLearning.CreateEvaluation

Contents

Description

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.

See: AWS API Reference for CreateEvaluation.

Synopsis

Creating a Request

createEvaluation Source

Creates a value of CreateEvaluation with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

Request Lenses

ceEvaluationName :: Lens' CreateEvaluation (Maybe Text) Source

A user-supplied name or description of the Evaluation.

ceEvaluationId :: Lens' CreateEvaluation Text Source

A user-supplied ID that uniquely identifies the Evaluation.

ceMLModelId :: Lens' CreateEvaluation Text Source

The ID of the MLModel to evaluate.

The schema used in creating the MLModel must match the schema of the DataSource used in the Evaluation.

ceEvaluationDataSourceId :: Lens' CreateEvaluation Text Source

The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.

Destructuring the Response

createEvaluationResponse Source

Creates a value of CreateEvaluationResponse with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

data CreateEvaluationResponse Source

Represents the output of a CreateEvaluation operation, and is an acknowledgement that Amazon ML received the request.

CreateEvaluation operation is asynchronous. You can poll for status updates by using the GetEvaluation operation and checking the Status parameter.

See: createEvaluationResponse smart constructor.

Response Lenses

cersEvaluationId :: Lens' CreateEvaluationResponse (Maybe Text) Source

The user-supplied ID that uniquely identifies the Evaluation. This value should be identical to the value of the EvaluationId in the request.