code: def _get_model(self):
      return BayesianPersonalizedRanking(
          factors=3, regularization=0, use_gpu=False, random_state=42
      )
  
file_path: implicit/tests/bpr_test.py
imports: import unittest
  from recommender_base_test import RecommenderBaseTestMixin
  from scipy.sparse import csr_matrix
  from implicit.bpr import BayesianPersonalizedRanking
  from implicit.gpu import HAS_CUDA
label_desc: Use image node_id 1 for calling the BPRTest obj's underlying member method code with example usage: obj._get_model() and returns: BayesianPersonalizedRanking