ComputeTime => Int

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the "Evaluation", normalized and scaled on computation resources. "ComputeTime" is only available if the "Evaluation" is in the "COMPLETED" state.

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.

FinishedAt => Str

The epoch time when Amazon Machine Learning marked the "Evaluation" as "COMPLETED" or "FAILED". "FinishedAt" is only available when the "Evaluation" is in the "COMPLETED" or "FAILED" state.

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 "Evaluation". 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 (https://docs.aws.amazon.com/machine-learning/latest/dg).

StartedAt => Str

The epoch time when Amazon Machine Learning marked the "Evaluation" as "INPROGRESS". "StartedAt" isn't available if the "Evaluation" is in the "PENDING" state.

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" =head2 _request_id => Str