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

Interface ModelVersionSummary.Builder

All Superinterfaces:
Buildable, CopyableBuilder<ModelVersionSummary.Builder,ModelVersionSummary>, SdkBuilder<ModelVersionSummary.Builder,ModelVersionSummary>, SdkPojo
Enclosing class:
ModelVersionSummary
public static interface ModelVersionSummary.Builder extends SdkPojo, CopyableBuilder<ModelVersionSummary.Builder,ModelVersionSummary>

  • Method Details

    • 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.

    • status

      ModelVersionSummary.Builder status(String status)

      The current status of the model version.

      Parameters:
      status - The current status of the model version.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • status

      ModelVersionSummary.Builder status(ModelVersionStatus status)

      The current status of the model version.

      Parameters:
      status - The current status of the model version.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • sourceType

      ModelVersionSummary.Builder sourceType(String sourceType)

      Indicates how this model version was generated.

      Parameters:
      sourceType - Indicates how this model version was generated.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • sourceType

      ModelVersionSummary.Builder sourceType(ModelVersionSourceType sourceType)

      Indicates how this model version was generated.

      Parameters:
      sourceType - Indicates how this model version was generated.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • 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

      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: