class_docstr: Manages label issues in a Datalab for regression tasks.
  
  Parameters
  ----------
  datalab :
      A Datalab instance.
  
  clean_learning_kwargs :
      Keyword arguments to pass to the :py:meth:`regression.learn.CleanLearning <cleanlab.regression.learn.CleanLearning>` constructor.
  
  threshold :
      The threshold to use to determine if an example has a label issue. It is a multiplier
      of the median label quality score that sets the absolute threshold. Only used if
      predictions are provided to `~RegressionLabelIssueManager.find_issues`, not if
      features are provided. Default is 0.1.
class_docstr_tok: ["Manages","label","issues","in","a","Datalab","for","regression","tasks",".","Parameters","--","--","--","--","--","datalab",":","A","Datalab","instance",".","clean_learning_kwargs",":","Keyword","arguments","to","pass","to","the",":","py",":","meth",":","`","regression.learn.CleanLearning","<","cleanlab.regression.learn.CleanLearning",">","`","constructor",".","threshold",":","The","threshold","to","use","to","determine","if","an","example","has","a","label","issue",".","It","is","a","multiplier","of","the","median","label","quality","score","that","sets","the","absolute","threshold",".","Only","used","if","predictions","are","provided","to","`","~RegressionLabelIssueManager.find_issues","`",",","not","if","features","are","provided",".","Default","is","0.1","."]
code: def __init__(
      self,
      datalab: Datalab,
      clean_learning_kwargs: Optional[Dict[str, Any]] = None,
      threshold: float = 0.1,
      health_summary_parameters: Optional[Dict[str, Any]] = None,
      **_,
  ):
      super().__init__(datalab)
      self.cl = CleanLearning(**(clean_learning_kwargs or {}))
      # This is a field for prioritizing features only when using a custom model
      self._uses_custom_model = "model" in (clean_learning_kwargs or {})
      self.threshold = threshold
  
file_path: cleanlab/cleanlab/datalab/internal/issue_manager/regression/label.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional
  import numpy
  import pandas
  from cleanlab.regression.learn import CleanLearning
  from cleanlab.datalab.internal.issue_manager import IssueManager
  from cleanlab.regression.rank import get_label_quality_scores
label_desc: Use image node_id 1 to create a new RegressionLabelIssueManager object from inherited base classes: IssueManager with example: obj = RegressionLabelIssueManager(datalab, clean_learning_kwargs, threshold, health_summary_parameters)