code: def remove(self, index: int) -> None:
      self._candidates.pop(index)
      self._features = numpy.delete(self._features, index, axis=0)
  
imports: from __future__ import annotations
  import logging
  import random
  from abc import ABC, abstractmethod
  from typing import TYPE_CHECKING, overload
  from warnings import warn
  import numpy
  import numpy.typing
  import sklearn.linear_model
  import dedupe.core
  import dedupe.training
label_desc: Use image node_id 3 for calling the MatchLearner obj's underlying member method code with example usage: obj.remove(index) without return types