code: def censor_vec(self, user_id, p_item_id, n_item_id):
      return (
          self.user_latent_factor.censor(user_id),
          self.item_latent_factor.censor(p_item_id),
          self.item_latent_factor.censor(n_item_id),
      )
  
file_path: openrec/openrec/tf2/recommenders/ucml.py
imports: import tensorflow
  from tensorflow.keras import Model
  from openrec.tf2.modules import LatentFactor
label_desc: Use image node_id 3 for calling the UCML obj's underlying member method code with example usage: obj.censor_vec(user_id, p_item_id, n_item_id) and returns: self,  self,  self