class_docstr: Provides functionality to retrieve baseline-specific output from Clarify baselining job.
class_docstr_tok: ["Provides","functionality","to","retrieve","baseline-specific","output","from","Clarify","baselining","job","."]
docstr: Initializes a ClarifyBaseliningJob that tracks a baselining job by suggest_baseline()
  
  Args:
      processing_job (sagemaker.processing.ProcessingJob): The ProcessingJob used for
          baselining instance.
code: def __init__(
      self,
      processing_job,
  ):
      """Initializes a ClarifyBaseliningJob that tracks a baselining job by suggest_baseline()
  
      Args:
          processing_job (sagemaker.processing.ProcessingJob): The ProcessingJob used for
              baselining instance.
      """
      super(ClarifyBaseliningJob, self).__init__(
          sagemaker_session=processing_job.sagemaker_session,
          job_name=processing_job.job_name,
          inputs=processing_job.inputs,
          outputs=processing_job.outputs,
          output_kms_key=processing_job.output_kms_key,
      )
  
imports: from __future__ import print_function, absolute_import
  import copy
  import json
  import logging
  import uuid
  from sagemaker.model_monitor import model_monitoring
  from sagemaker import image_uris, s3
  from sagemaker.session import Session
  from sagemaker.utils import name_from_base, format_tags
  from sagemaker.clarify import SageMakerClarifyProcessor, ModelPredictedLabelConfig
  from sagemaker.lineage._utils import get_resource_name_from_arn
label_desc: Use image node_id 1 to create a new ClarifyBaseliningJob object from inherited base classes: mm with example: obj = ClarifyBaseliningJob(processing_job)