Class GetEvaluationResponse

    • Method Detail

      • evaluationId

        public final String evaluationId()

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

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

        public final String mlModelId()

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

        Returns:
        The ID of the MLModel that was the focus of the evaluation.
      • evaluationDataSourceId

        public final String evaluationDataSourceId()

        The DataSource used for this evaluation.

        Returns:
        The DataSource used for this evaluation.
      • inputDataLocationS3

        public final String inputDataLocationS3()

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

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

        public final String createdByIamUser()

        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.

        Returns:
        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.
      • createdAt

        public final Instant createdAt()

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

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

        public final Instant lastUpdatedAt()

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

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

        public final String name()

        A user-supplied name or description of the Evaluation.

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

        public final EntityStatus status()

        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.

        If the service returns an enum value that is not available in the current SDK version, status will return EntityStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from statusAsString().

        Returns:
        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.

        See Also:
        EntityStatus
      • statusAsString

        public final String statusAsString()

        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.

        If the service returns an enum value that is not available in the current SDK version, status will return EntityStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from statusAsString().

        Returns:
        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.

        See Also:
        EntityStatus
      • performanceMetrics

        public final PerformanceMetrics 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.

        Returns:
        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.

      • logUri

        public final String logUri()

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

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

        public final String message()

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

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

        public final Long computeTime()

        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.

        Returns:
        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.
      • finishedAt

        public final Instant finishedAt()

        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.

        Returns:
        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.
      • startedAt

        public final Instant startedAt()

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

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

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object