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