code: def fit(self, pairs: TrainingExamples, y: LabelsLike) -> None:
      y = self._verify_fit_args(pairs, y)
      self._classifier.fit(self._featurizer(pairs), numpy.array(y))
      self._fitted = True
  
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 2 for calling the MatchLearner obj's underlying member method code with example usage: obj.fit(pairs, y) without return types