Class ModelVersionSummary

    • Method Detail

      • modelName

        public final String modelName()

        The name of the model that this model version is a version of.

        Returns:
        The name of the model that this model version is a version of.
      • modelArn

        public final String modelArn()

        The Amazon Resource Name (ARN) of the model that this model version is a version of.

        Returns:
        The Amazon Resource Name (ARN) of the model that this model version is a version of.
      • modelVersion

        public final Long modelVersion()

        The version of the model.

        Returns:
        The version of the model.
      • modelVersionArn

        public final String modelVersionArn()

        The Amazon Resource Name (ARN) of the model version.

        Returns:
        The Amazon Resource Name (ARN) of the model version.
      • createdAt

        public final Instant createdAt()

        The time when this model version was created.

        Returns:
        The time when this model version was 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 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 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 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 improving the quality of a model, see Best practices with Amazon Lookout for Equipment.

        See Also:
        ModelQuality
      • hashCode

        public final int hashCode()
        Overrides:
        hashCode in class Object
      • equals

        public final boolean equals​(Object obj)
        Overrides:
        equals in class Object
      • 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
      • getValueForField

        public final <T> Optional<T> getValueForField​(String fieldName,
                                                      Class<T> clazz)