# Generated by default/object.tt package Paws::MachineLearning::Evaluation; use Moose; has ComputeTime => (is => 'ro', isa => 'Int'); has CreatedAt => (is => 'ro', isa => 'Str'); has CreatedByIamUser => (is => 'ro', isa => 'Str'); has EvaluationDataSourceId => (is => 'ro', isa => 'Str'); has EvaluationId => (is => 'ro', isa => 'Str'); has FinishedAt => (is => 'ro', isa => 'Str'); has InputDataLocationS3 => (is => 'ro', isa => 'Str'); has LastUpdatedAt => (is => 'ro', isa => 'Str'); has Message => (is => 'ro', isa => 'Str'); has MLModelId => (is => 'ro', isa => 'Str'); has Name => (is => 'ro', isa => 'Str'); has PerformanceMetrics => (is => 'ro', isa => 'Paws::MachineLearning::PerformanceMetrics'); has StartedAt => (is => 'ro', isa => 'Str'); has Status => (is => 'ro', isa => 'Str'); 1; ### main pod documentation begin ### =head1 NAME Paws::MachineLearning::Evaluation =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::MachineLearning::Evaluation object: $service_obj->Method(Att1 => { ComputeTime => $value, ..., Status => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::MachineLearning::Evaluation object: $result = $service_obj->Method(...); $result->Att1->ComputeTime =head1 DESCRIPTION Represents the output of C operation. The content consists of the detailed metadata and data file information and the current status of the C. =head1 ATTRIBUTES =head2 ComputeTime => Int =head2 CreatedAt => Str The time that the C was created. The time is expressed in epoch time. =head2 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. =head2 EvaluationDataSourceId => Str The ID of the C that is used to evaluate the C. =head2 EvaluationId => Str The ID that is assigned to the C at creation. =head2 FinishedAt => Str =head2 InputDataLocationS3 => Str The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation. =head2 LastUpdatedAt => Str The time of the most recent edit to the C. The time is expressed in epoch time. =head2 Message => Str A description of the most recent details about evaluating the C. =head2 MLModelId => Str The ID of the C that is the focus of the evaluation. =head2 Name => Str A user-supplied name or description of the C. =head2 PerformanceMetrics => L Measurements of how well the C performed, using observations referenced by the C. One of the following metrics is returned, based on the type of the C: =over =item * BinaryAUC: A binary C uses the Area Under the Curve (AUC) technique to measure performance. =item * RegressionRMSE: A regression C uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable. =item * MulticlassAvgFScore: A multiclass C uses the F1 score technique to measure performance. =back For more information about performance metrics, please see the Amazon Machine Learning Developer Guide (https://docs.aws.amazon.com/machine-learning/latest/dg). =head2 StartedAt => Str =head2 Status => Str The status of the evaluation. This element can have one of the following values: =over =item * C - Amazon Machine Learning (Amazon ML) submitted a request to evaluate an C. =item * C - The evaluation is underway. =item * C - The request to evaluate an C did not run to completion. It is not usable. =item * C - The evaluation process completed successfully. =item * C - The C is marked as deleted. It is not usable. =back =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut