class_docstr: Manages issues related to imbalance class examples.
  
  Parameters
  ----------
  datalab:
      The Datalab instance that this issue manager searches for issues in.
  
  threshold:
      Minimum fraction of samples of each class that are present in a dataset without class imbalance.
code: def __init__(self, datalab: Datalab, threshold: float = 0.1):
      super().__init__(datalab)
      self.threshold = threshold
  
file_path: cleanlab/cleanlab/datalab/internal/issue_manager/imbalance.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, ClassVar
  import numpy
  import pandas
  from cleanlab.datalab.internal.issue_manager import IssueManager
label_desc: Use image node_id 1 to create a new ClassImbalanceIssueManager object from inherited base classes: IssueManager with example: obj = ClassImbalanceIssueManager(datalab, threshold)