code: def __init__(
      self, featurizer: FeaturizerFunction, candidates: TrainingExamples
  ):
      self._featurizer = featurizer
      self._candidates = candidates.copy()
      self._classifier = sklearn.linear_model.LogisticRegression()
      self._features = self._featurizer(self.candidates)
  
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 1 to create a new MatchLearner object from inherited base classes: Learner with example: obj = MatchLearner(featurizer, candidates)