class_docstr: Configuration object passed in when create a batch transform job.
  
  Specifies configuration related to batch transform job data capture for use with
  Amazon SageMaker Model Monitoring
class_docstr_tok: ["Configuration","object","passed","in","when","create","a","batch","transform","job",".","Specifies","configuration","related","to","batch","transform","job","data","capture","for","use","with","Amazon","SageMaker","Model","Monitoring"]
docstr: Create new BatchDataCaptureConfig
  
  Args:
      destination_s3_uri (str): S3 Location to store the captured data
      kms_key_id (str): The KMS key to use when writing to S3.
          KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key,
          or alias of a KMS key. The KmsKeyId is applied to all outputs.
          (default: None)
      generate_inference_id (bool): Flag to generate an inference id
          (default: None)
docstr_tok: ["Create","new","BatchDataCaptureConfig","Args",":","destination_s3_uri","(","str",")",":","S3","Location","to","store","the","captured","data","kms_key_id","(","str",")",":","The","KMS","key","to","use","when","writing","to","S3",".","KmsKeyId","can","be","an","ID","of","a","KMS","key",",","ARN","of","a","KMS","key",",","alias","of","a","KMS","key",",","or","alias","of","a","KMS","key",".","The","KmsKeyId","is","applied","to","all","outputs",".","(","default",":","None",")","generate_inference_id","(","bool",")",":","Flag","to","generate","an","inference","id","(","default",":","None",")"]
code: def __init__(
      self,
      destination_s3_uri: str,
      kms_key_id: str = None,
      generate_inference_id: bool = None,
  ):
      """Create new BatchDataCaptureConfig
  
      Args:
          destination_s3_uri (str): S3 Location to store the captured data
          kms_key_id (str): The KMS key to use when writing to S3.
              KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key,
              or alias of a KMS key. The KmsKeyId is applied to all outputs.
              (default: None)
          generate_inference_id (bool): Flag to generate an inference id
              (default: None)
      """
      self.destination_s3_uri = destination_s3_uri
      self.kms_key_id = kms_key_id
      self.generate_inference_id = generate_inference_id
  
imports: from __future__ import absolute_import, print_function
  from typing import Union, Optional, List
  import attr
  from sagemaker.workflow.entities import PipelineVariable
label_desc: Use image node_id 1 to create a new BatchDataCaptureConfig object from inherited base classes: object with example: obj = BatchDataCaptureConfig(destination_s3_uri, kms_key_id, generate_inference_id)