class_docstr: Base class for inductive conformal predictors.
      
class_docstr_tok: ["Base","class","for","inductive","conformal","predictors","."]
code: def _reduce_scores(self):
      return {
          k: cs[:: int(len(cs) / self.cal_size) + 1]
          for k, cs in self.cal_scores.items()
      }
  
imports: from collections import defaultdict
  from functools import partial
  from typing import Optional, Union
  import numpy
  from sklearn.base import BaseEstimator
  from lightwood.analysis.nc.base import RegressorMixin, ClassifierMixin, TSMixin
  from types import FunctionType
label_desc: Use image node_id 4 for calling the BaseIcp obj's underlying member method code with example usage: obj._reduce_scores() and returns: unknown