:doc:`SageMaker <../../sagemaker>` / Client / create_mlflow_app

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create_mlflow_app
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.. py:method:: SageMaker.Client.create_mlflow_app(**kwargs)

  

  Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.

  

  See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateMlflowApp>`_  


  **Request Syntax**
  ::

    response = client.create_mlflow_app(
        Name='string',
        ArtifactStoreUri='string',
        RoleArn='string',
        ModelRegistrationMode='AutoModelRegistrationEnabled'|'AutoModelRegistrationDisabled',
        WeeklyMaintenanceWindowStart='string',
        AccountDefaultStatus='ENABLED'|'DISABLED',
        DefaultDomainIdList=[
            'string',
        ],
        Tags=[
            {
                'Key': 'string',
                'Value': 'string'
            },
        ]
    )
    
  :type Name: string
  :param Name: **[REQUIRED]** 

    A string identifying the MLflow app name. This string is not part of the tracking server ARN.

    

  
  :type ArtifactStoreUri: string
  :param ArtifactStoreUri: **[REQUIRED]** 

    The S3 URI for a general purpose bucket to use as the MLflow App artifact store.

    

  
  :type RoleArn: string
  :param RoleArn: **[REQUIRED]** 

    The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3. The role should have the ``AmazonS3FullAccess`` permission.

    

  
  :type ModelRegistrationMode: string
  :param ModelRegistrationMode: 

    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 ``AutoModelRegistrationEnabled``. To disable automatic model registration, set this value to ``AutoModelRegistrationDisabled``. If not specified, ``AutomaticModelRegistration`` defaults to ``AutoModelRegistrationDisabled``.

    

  
  :type WeeklyMaintenanceWindowStart: string
  :param WeeklyMaintenanceWindowStart: 

    The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: TUE:03:30.

    

  
  :type AccountDefaultStatus: string
  :param AccountDefaultStatus: 

    Indicates whether this MLflow app is the default for the entire account.

    

  
  :type DefaultDomainIdList: list
  :param DefaultDomainIdList: 

    List of SageMaker domain IDs for which this MLflow App is used as the default.

    

  
    - *(string) --* 

    

  :type Tags: list
  :param Tags: 

    Tags consisting of key-value pairs used to manage metadata for the MLflow App.

    

  
    - *(dict) --* 

      A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

       

      You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see `AddTags <https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AddTags.html>`__.

       

      For more information on adding metadata to your Amazon Web Services resources with tagging, see `Tagging Amazon Web Services resources <https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html>`__. For advice on best practices for managing Amazon Web Services resources with tagging, see `Tagging Best Practices\: Implement an Effective Amazon Web Services Resource Tagging Strategy <https://d1.awsstatic.com/whitepapers/aws-tagging-best-practices.pdf>`__.

      

    
      - **Key** *(string) --* **[REQUIRED]** 

        The tag key. Tag keys must be unique per resource.

        

      
      - **Value** *(string) --* **[REQUIRED]** 

        The tag value.

        

      
    

  
  :rtype: dict
  :returns: 
    
    **Response Syntax**

    
    ::

      {
          'Arn': 'string'
      }
      
    **Response Structure**

    

    - *(dict) --* 
      

      - **Arn** *(string) --* 

        The ARN of the MLflow App.

        
  
  **Exceptions**
  
  *   :py:class:`SageMaker.Client.exceptions.ResourceLimitExceeded`

  