class_docstr: Base class for inductive conformal predictors.
      
class_docstr_tok: ["Base","class","for","inductive","conformal","predictors","."]
code: def _calibrate_hook(
      self, x: np.array, y: np.array, increment: bool
  ) -> None:
      pass
  
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 6 for calling the BaseIcp obj's underlying member method code with example usage: obj._calibrate_hook(x, y, increment) without return types