Package software.amazon.awssdk.services.lookoutequipment.model

Interface CreateInferenceSchedulerResponse.Builder

    • Method Detail

      • inferenceSchedulerArn

        CreateInferenceSchedulerResponse.Builder inferenceSchedulerArn​(String inferenceSchedulerArn)

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

        Parameters:
        inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • inferenceSchedulerName

        CreateInferenceSchedulerResponse.Builder inferenceSchedulerName​(String inferenceSchedulerName)

        The name of inference scheduler being created.

        Parameters:
        inferenceSchedulerName - The name of inference scheduler being created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • modelQuality

        CreateInferenceSchedulerResponse.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 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.

        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 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.

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

      • modelQuality

        CreateInferenceSchedulerResponse.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 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.

        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 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.

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