class_docstr: Class that generates a report about the issues stored in a :py:class:`DataIssues` object.
  
  Parameters
  ----------
  data_issues :
      The :py:class:`DataIssues` object containing the issues to report on. This is usually
      generated by the :py:class:`Datalab` class, stored in the :py:attr:`data_issues` attribute,
      and then passed to the :py:class:`Reporter` class to generate a report.
  
  task :
      Specific machine learning task like classification or regression.
  
  verbosity :
      The default verbosity of the report to generate. Each :py:class`IssueManager`
      specifies the available verbosity levels and what additional information
      is included at each level.
  
  include_description :
      Whether to include the description of each issue type in the report. The description
      is included by default, but can be excluded by setting this parameter to ``False``.
  
  Note
  ----
  This class is not intended to be used directly. Instead, use the
  `Datalab.find_issues` method which internally utilizes an IssueFinder instance.
code: def __init__(
      self,
      data_issues: "DataIssues",
      task: str,
      verbosity: int = 1,
      include_description: bool = True,
      show_summary_score: bool = False,
      **kwargs,
  ):
      self.data_issues = data_issues
      self.task = task
      self.verbosity = verbosity
      self.include_description = include_description
      self.show_summary_score = show_summary_score
  
file_path: cleanlab/cleanlab/datalab/internal/report.py
imports: from typing import TYPE_CHECKING, List
  import pandas
  from cleanlab.datalab.internal.adapter.constants import DEFAULT_CLEANVISION_ISSUES
  from cleanlab.datalab.internal.issue_manager_factory import _IssueManagerFactory
label_desc: Use image node_id 1 to create a new Reporter object  with example: obj = Reporter(data_issues, task, verbosity, include_description, show_summary_score)