Class CreateInferenceSchedulerResponse

    • Method Detail

      • inferenceSchedulerArn

        public final String inferenceSchedulerArn()

        The Amazon Resource Name (ARN) of the inference scheduler being created.

        Returns:
        The Amazon Resource Name (ARN) of the inference scheduler being created.
      • inferenceSchedulerName

        public final String inferenceSchedulerName()

        The name of inference scheduler being created.

        Returns:
        The name of inference scheduler being created.
      • modelQuality

        public final ModelQuality modelQuality()

        Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.

        If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.

        For information about using labels with your models, see Understanding labeling.

        For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.

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

        Returns:
        Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.

        If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.

        For information about using labels with your models, see Understanding labeling.

        For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.

        See Also:
        ModelQuality
      • modelQualityAsString

        public final String modelQualityAsString()

        Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.

        If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.

        For information about using labels with your models, see Understanding labeling.

        For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.

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

        Returns:
        Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.

        If the model is unlabeled, the model quality can't be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.

        For information about using labels with your models, see Understanding labeling.

        For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.

        See Also:
        ModelQuality
      • 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