class_docstr: A single learner that is used by DisagreementLearner.
class_docstr_tok: ["A","single","learner","that","is","used","by","DisagreementLearner","."]
docstr: For each of self.candidates, return our current guess [0,1] of if a match.
docstr_tok: ["For","each","of","self.candidates",",","return","our","current","guess","[","0,1","]","of","if","a","match","."]
code: def candidate_scores(self) -> numpy.typing.NDArray[numpy.float_]:
      """For each of self.candidates, return our current guess [0,1] of if a match."""
  
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 Learner obj's underlying member method code with example usage: obj.candidate_scores() without return types