AWSMachineLearningGetEvaluationOutput

Objective-C

@interface AWSMachineLearningGetEvaluationOutput

Swift

class AWSMachineLearningGetEvaluationOutput

Represents the output of a GetEvaluation operation and describes an Evaluation.

  • 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.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSNumber *_Nullable computeTime;

    Swift

    var computeTime: NSNumber? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSDate *_Nullable createdAt;

    Swift

    var createdAt: Date? { get set }

  • 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.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable createdByIamUser;

    Swift

    var createdByIamUser: String? { get set }

  • The DataSource used for this evaluation.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable evaluationDataSourceId;

    Swift

    var evaluationDataSourceId: String? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable evaluationId;

    Swift

    var evaluationId: String? { get set }

  • 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.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSDate *_Nullable finishedAt;

    Swift

    var finishedAt: Date? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable inputDataLocationS3;

    Swift

    var inputDataLocationS3: String? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSDate *_Nullable lastUpdatedAt;

    Swift

    var lastUpdatedAt: Date? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable logUri;

    Swift

    var logUri: String? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable MLModelId;

    Swift

    var mlModelId: String? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable message;

    Swift

    var message: String? { get set }

  • A user-supplied name or description of the Evaluation.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable name;

    Swift

    var name: String? { get set }

  • 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.

    Declaration

    Objective-C

    @property (nonatomic, strong) AWSMachineLearningPerformanceMetrics *_Nullable performanceMetrics;

    Swift

    var performanceMetrics: AWSMachineLearningPerformanceMetrics? { get set }

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

    Declaration

    Objective-C

    @property (nonatomic, strong) NSDate *_Nullable startedAt;

    Swift

    var startedAt: Date? { get set }

  • 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.

    Declaration

    Objective-C

    @property (nonatomic) AWSMachineLearningEntityStatus status;

    Swift

    var status: AWSMachineLearningEntityStatus { get set }