Interface UpdateMlflowTrackingServerRequest.Builder

  • Method Details

    • trackingServerName

      UpdateMlflowTrackingServerRequest.Builder trackingServerName(String trackingServerName)

      The name of the MLflow Tracking Server to update.

      Parameters:
      trackingServerName - The name of the MLflow Tracking Server to update.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • artifactStoreUri

      UpdateMlflowTrackingServerRequest.Builder artifactStoreUri(String artifactStoreUri)

      The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow Tracking Server.

      Parameters:
      artifactStoreUri - The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow Tracking Server.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • trackingServerSize

      UpdateMlflowTrackingServerRequest.Builder trackingServerSize(String trackingServerSize)

      The new size for the MLflow Tracking Server.

      Parameters:
      trackingServerSize - The new size for the MLflow Tracking Server.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:
    • trackingServerSize

      UpdateMlflowTrackingServerRequest.Builder trackingServerSize(TrackingServerSize trackingServerSize)

      The new size for the MLflow Tracking Server.

      Parameters:
      trackingServerSize - The new size for the MLflow Tracking Server.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:
    • automaticModelRegistration

      UpdateMlflowTrackingServerRequest.Builder automaticModelRegistration(Boolean automaticModelRegistration)

      Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False

      Parameters:
      automaticModelRegistration - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • weeklyMaintenanceWindowStart

      UpdateMlflowTrackingServerRequest.Builder weeklyMaintenanceWindowStart(String weeklyMaintenanceWindowStart)

      The new weekly maintenance window start day and time to update. The maintenance window day and time should be in Coordinated Universal Time (UTC) 24-hour standard time. For example: TUE:03:30.

      Parameters:
      weeklyMaintenanceWindowStart - The new weekly maintenance window start day and time to update. The maintenance window day and time should be in Coordinated Universal Time (UTC) 24-hour standard time. For example: TUE:03:30.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • s3BucketOwnerAccountId

      UpdateMlflowTrackingServerRequest.Builder s3BucketOwnerAccountId(String s3BucketOwnerAccountId)

      The new expected Amazon Web Services account ID that owns the Amazon S3 bucket for artifact storage.

      Parameters:
      s3BucketOwnerAccountId - The new expected Amazon Web Services account ID that owns the Amazon S3 bucket for artifact storage.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • s3BucketOwnerVerification

      UpdateMlflowTrackingServerRequest.Builder s3BucketOwnerVerification(Boolean s3BucketOwnerVerification)

      Whether to enable or disable Amazon S3 Bucket Owenrship Verifaction whenever the MLflow Tracking Server interacts with Amazon Amazon S3.

      Parameters:
      s3BucketOwnerVerification - Whether to enable or disable Amazon S3 Bucket Owenrship Verifaction whenever the MLflow Tracking Server interacts with Amazon Amazon S3.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • overrideConfiguration

      UpdateMlflowTrackingServerRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      overrideConfiguration - The override configuration.
      Returns:
      This object for method chaining.
    • overrideConfiguration

      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      builderConsumer - A Consumer to which an empty AwsRequestOverrideConfiguration.Builder will be given.
      Returns:
      This object for method chaining.