code: def learn_predicates(
      self,
      dupes: TrainingExamples,
      recall: float,
      index_predicates: bool,
  ) -> tuple[Predicate, ...]:
      return self.block_learner.learn(
          dupes,
          recall=recall,
          index_predicates=index_predicates,
          candidate_types="random forest",
      )
  
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 4 for calling the BlockLearner obj's underlying member method code with example usage: obj.learn_predicates(dupes, recall, index_predicates) and returns: self