code: def test_bias_prediction_dense(self):
      predictions = np.array(
          [
              [1.0, 0, 0, 1.0],
              [0, 1.0, 0, 0],
              [0, 0, 1.0, 2.0],
          ],
          dtype=np.float32,
      )
  
      projected_user_biases = np.array([0.0, 1.0, 2.0])
      projected_item_biases = np.array([0.0, -1.0, -2.0, -3.0])
  
      biased_predictions = bias_prediction_dense(
          tf_prediction=predictions,
          tf_projected_user_biases=projected_user_biases,
          tf_projected_item_biases=projected_item_biases,
      ).eval(session=self.session)
  
      expected_biased_predictions = np.array(
          [
              [1.0, -1.0, -2.0, -2.0],
              [1.0, 1.0, -1.0, -2.0],
              [2.0, 1.0, 1.0, 1.0],
          ],
          dtype=np.float32,
      )
  
      self.assertTrue(
          (biased_predictions == expected_biased_predictions).all()
      )
  
file_path: tensorrec/test/test_recommendation_graphs.py
imports: import numpy
  import tensorflow
  import scipy.sparse
  from unittest import TestCase
  from tensorrec.prediction_graphs import CosineSimilarityPredictionGraph
  from tensorrec.recommendation_graphs import project_biases, split_sparse_tensor_indices, bias_prediction_dense, bias_prediction_serial, densify_sampled_item_predictions, rank_predictions, collapse_mixture_of_tastes, predict_similar_items
  from tensorrec.session_management import get_session
label_desc: Use image node_id 4 for calling the RecommendationGraphsTestCase obj's underlying member method code with example usage: obj.test_bias_prediction_dense() without return types