code: def inference(self, user_id):
      user_vec = self.user_latent_factor(user_id)
      return -tf.math.reduce_sum(
          tf.math.square(
              tf.expand_dims(user_vec, axis=1)
              - self.item_latent_factor.variables[0]
          ),
          axis=-1,
          keepdims=False,
      ) + tf.reshape(self.item_bias.variables[0], [-1])
  
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 4 for calling the UCML obj's underlying member method code with example usage: obj.inference(user_id) and returns: unknown