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 _get_issue_types(self, issue_summary: pd.DataFrame) -> List[str]:
      issue_types = [
          issue_type
          for issue_type in issue_summary["issue_type"].tolist()
          if issue_type not in DEFAULT_CLEANVISION_ISSUES
      ]
      return issue_types
  
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 5 for calling the Reporter obj's underlying member method code with example usage: obj._get_issue_types(issue_summary) and returns: issue_types