Interface CreateInferenceSchedulerResponse.Builder

All Superinterfaces:
AwsResponse.Builder, Buildable, CopyableBuilder<CreateInferenceSchedulerResponse.Builder,CreateInferenceSchedulerResponse>, LookoutEquipmentResponse.Builder, SdkBuilder<CreateInferenceSchedulerResponse.Builder,CreateInferenceSchedulerResponse>, SdkPojo, SdkResponse.Builder
Enclosing class:
CreateInferenceSchedulerResponse
@Mutable @NotThreadSafe public static interface CreateInferenceSchedulerResponse.Builder extends LookoutEquipmentResponse.Builder, SdkPojo, CopyableBuilder<CreateInferenceSchedulerResponse.Builder,CreateInferenceSchedulerResponse>

  • Method Details

    • 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.

    • status

      CreateInferenceSchedulerResponse.Builder status(String status)

      Indicates the status of the CreateInferenceScheduler operation.

      Parameters:
      status - Indicates the status of the CreateInferenceScheduler operation.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • status

      CreateInferenceSchedulerResponse.Builder status(InferenceSchedulerStatus status)

      Indicates the status of the CreateInferenceScheduler operation.

      Parameters:
      status - Indicates the status of the CreateInferenceScheduler operation.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • 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

      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: