Interface ModelVersionSummary.Builder

    • Method Detail

      • modelName

        ModelVersionSummary.Builder modelName​(String modelName)

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

        Parameters:
        modelName - The name of the model that this model version is a version of.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • modelArn

        ModelVersionSummary.Builder modelArn​(String modelArn)

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

        Parameters:
        modelArn - The Amazon Resource Name (ARN) of the model that this model version is a version of.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • modelVersion

        ModelVersionSummary.Builder modelVersion​(Long modelVersion)

        The version of the model.

        Parameters:
        modelVersion - The version of the model.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • modelVersionArn

        ModelVersionSummary.Builder modelVersionArn​(String modelVersionArn)

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

        Parameters:
        modelVersionArn - The Amazon Resource Name (ARN) of the model version.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • createdAt

        ModelVersionSummary.Builder createdAt​(Instant createdAt)

        The time when this model version was created.

        Parameters:
        createdAt - The time when this model version was created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • modelQuality

        ModelVersionSummary.Builder modelQuality​(String 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.

        Parameters:
        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.

        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ModelQuality, ModelQuality
      • modelQuality

        ModelVersionSummary.Builder modelQuality​(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.

        Parameters:
        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.

        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ModelQuality, ModelQuality