class_docstr: Mixin for reduce_output function.
docstr: Return the check result as a reduced dict. Being Used for monitoring.
  
  Parameters
  ----------
  check_result : CheckResult
      The check result.
  
  Returns
  -------
  Dict[str, float]
      reduced dictionary in format {str: float} (i.e {'AUC': 0.1}), based on the check's original returned value
docstr_tok: ["Return","the","check","result","as","a","reduced","dict",".","Being","Used","for","monitoring",".","Parameters","--","--","--","--","--","check_result",":","CheckResult","The","check","result",".","Returns","--","--","--","-","Dict","[","str",",","float","]","reduced","dictionary","in","format","{","str",":","float","}","(","i.e","{","'AUC","'",":","0.1","}",")",",","based","on","the","check","'s","original","returned","value"]
code: def reduce_output(self, check_result) -> Dict[str, float]:
      """Return the check result as a reduced dict. Being Used for monitoring.
  
      Parameters
      ----------
      check_result : CheckResult
          The check result.
  
      Returns
      -------
      Dict[str, float]
          reduced dictionary in format {str: float} (i.e {'AUC': 0.1}), based on the check's original returned value
      """
      raise NotImplementedError("Must implement reduce_output function")
  
imports: import abc
  from typing import Dict, Optional
  import numpy
  import pandas
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.utils.logger import get_logger
label_desc: Use image node_id 2 for calling the ReduceMixin obj's underlying member method code with example usage: obj.reduce_output(check_result) without return types