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

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

  

  Creates a *context*. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see `Amazon SageMaker ML Lineage Tracking <https://docs.aws.amazon.com/sagemaker/latest/dg/lineage-tracking.html>`__.

  

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


  **Request Syntax**
  ::

    response = client.create_context(
        ContextName='string',
        Source={
            'SourceUri': 'string',
            'SourceType': 'string',
            'SourceId': 'string'
        },
        ContextType='string',
        Description='string',
        Properties={
            'string': 'string'
        },
        Tags=[
            {
                'Key': 'string',
                'Value': 'string'
            },
        ]
    )
    
  :type ContextName: string
  :param ContextName: **[REQUIRED]** 

    The name of the context. Must be unique to your account in an Amazon Web Services Region.

    

  
  :type Source: dict
  :param Source: **[REQUIRED]** 

    The source type, ID, and URI.

    

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

      The URI of the source.

      

    
    - **SourceType** *(string) --* 

      The type of the source.

      

    
    - **SourceId** *(string) --* 

      The ID of the source.

      

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

    The context type.

    

  
  :type Description: string
  :param Description: 

    The description of the context.

    

  
  :type Properties: dict
  :param Properties: 

    A list of properties to add to the context.

    

  
    - *(string) --* 

    
      - *(string) --* 

      


  :type Tags: list
  :param Tags: 

    A list of tags to apply to the context.

    

  
    - *(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**

    
    ::

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

    

    - *(dict) --* 
      

      - **ContextArn** *(string) --* 

        The Amazon Resource Name (ARN) of the context.

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

  