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Paws-0.22
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/ Paws::MachineLearning::GetEvaluationOutput

NAME

Paws::MachineLearning::GetEvaluationOutput

ATTRIBUTES

CreatedAt => Str

The time that the Evaluation was created. The time is expressed in epoch time.

CreatedByIamUser => Str

The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

EvaluationDataSourceId => Str

The DataSource used for this evaluation.

EvaluationId => Str

The evaluation ID which is same as the EvaluationId in the request.

InputDataLocationS3 => Str

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

LastUpdatedAt => Str

The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

LogUri => Str

A link to the file that contains logs of the CreateEvaluation operation.

Message => Str

A description of the most recent details about evaluating the MLModel.

MLModelId => Str

The ID of the MLModel that was the focus of the evaluation.

Name => Str

A user-supplied name or description of the Evaluation.

PerformanceMetrics => Paws::MachineLearning::PerformanceMetrics

Measurements of how well the MLModel performed using observations referenced by the DataSource. One of the following metric is returned based on the type of the MLModel:

  • BinaryAUC: A binary MLModel uses the Area Under the Curve (AUC) technique to measure performance.

  • RegressionRMSE: A regression MLModel uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.

  • MulticlassAvgFScore: A multiclass MLModel uses the F1 score technique to measure performance.

For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.

Status => Str

The status of the evaluation. This element can have one of the following values:

  • PENDING - Amazon Machine Language (Amazon ML) submitted a request to evaluate an MLModel.

  • INPROGRESS - The evaluation is underway.

  • FAILED - The request to evaluate an MLModel did not run to completion. It is not usable.

  • COMPLETED - The evaluation process completed successfully.

  • DELETED - The Evaluation is marked as deleted. It is not usable.

Valid values are: "PENDING", "INPROGRESS", "FAILED", "COMPLETED", "DELETED"