code: def test_fit(
      self,
      name,
      user_repr,
      item_repr,
      n_user_features,
      n_item_features,
      n_components,
  ):
      interactions, user_features, item_features = generate_dummy_data(
          num_users=15,
          num_items=30,
          interaction_density=0.5,
          num_user_features=n_user_features,
          num_item_features=n_item_features,
          n_features_per_user=20,
          n_features_per_item=20,
          pos_int_ratio=0.5,
      )
      model = TensorRec(
          n_components=n_components,
          user_repr_graph=user_repr(),
          item_repr_graph=item_repr(),
      )
      model.fit(interactions, user_features, item_features, epochs=10)
  
      # Ensure that the nodes have been built
      self.assertIsNotNone(model.tf_prediction)
  
file_path: tensorrec/test/test_representation_graphs.py
imports: from nose_parameterized import parameterized
  from unittest import TestCase
  from tensorrec import TensorRec
  from tensorrec.representation_graphs import LinearRepresentationGraph, NormalizedLinearRepresentationGraph, FeaturePassThroughRepresentationGraph, WeightedFeaturePassThroughRepresentationGraph, ReLURepresentationGraph
  from tensorrec.util import generate_dummy_data
label_desc: Use image node_id 1 for calling the RepresentationGraphTestCase obj's underlying member method code with example usage: obj.test_fit(name, user_repr, item_repr, n_user_features, n_item_features, n_components) without return types