AWSMachineLearningEvaluation

Objective-C

@interface AWSMachineLearningEvaluation

Swift

class AWSMachineLearningEvaluation

Represents the output of GetEvaluation operation.

The content consists of the detailed metadata and data file information and the current status of the Evaluation.

  • Long integer type that is a 64-bit signed number.

    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 ID of the DataSource that is used to evaluate the MLModel.

    Declaration

    Objective-C

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

    Swift

    var evaluationDataSourceId: String? { get set }

  • The ID that is assigned to the Evaluation at creation.

    Declaration

    Objective-C

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

    Swift

    var evaluationId: String? { get set }

  • A timestamp represented in epoch time.

    Declaration

    Objective-C

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

    Swift

    var finishedAt: Date? { get set }

  • The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.

    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 }

  • The ID of the MLModel that is 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 metrics 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 }

  • A timestamp represented in epoch time.

    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 Learning (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 }