def create_batch_prediction(BatchPredictionId=None, BatchPredictionName=
    None, MLModelId=None, BatchPredictionDataSourceId=None, OutputUri=None):
    """
    Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource . This operation creates a new BatchPrediction , and uses an MLModel and the data files referenced by the DataSource as information sources.
    CreateBatchPrediction is an asynchronous operation. In response to CreateBatchPrediction , Amazon Machine Learning (Amazon ML) immediately returns and sets the BatchPrediction status to PENDING . After the BatchPrediction completes, Amazon ML sets the status to COMPLETED .
    You can poll for status updates by using the  GetBatchPrediction operation and checking the Status parameter of the result. After the COMPLETED status appears, the results are available in the location specified by the OutputUri parameter.
    See also: AWS API Documentation
    
    
    :example: response = client.create_batch_prediction(
        BatchPredictionId='string',
        BatchPredictionName='string',
        MLModelId='string',
        BatchPredictionDataSourceId='string',
        OutputUri='string'
    )
    
    
    :type BatchPredictionId: string
    :param BatchPredictionId: [REQUIRED]
            A user-supplied ID that uniquely identifies the BatchPrediction .
            

    :type BatchPredictionName: string
    :param BatchPredictionName: A user-supplied name or description of the BatchPrediction . BatchPredictionName can only use the UTF-8 character set.

    :type MLModelId: string
    :param MLModelId: [REQUIRED]
            The ID of the MLModel that will generate predictions for the group of observations.
            

    :type BatchPredictionDataSourceId: string
    :param BatchPredictionDataSourceId: [REQUIRED]
            The ID of the DataSource that points to the group of observations to predict.
            

    :type OutputUri: string
    :param OutputUri: [REQUIRED]
            The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the s3 key portion of the outputURI field: ':', '//', '/./', '/../'.
            Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide .
            

    :rtype: dict
    :return: {
        'BatchPredictionId': 'string'
    }
    
    
    """
    pass
