code: def _add_bias(features):
      return tf.concat(
          [features, tf.ones([ps.shape(features)[0], 1])], axis=-1
      )
  
file_path: probability/spinoffs/inference_gym/inference_gym/targets/probit_regression.py
imports: import functools
  import tensorflow.compat.v2
  import tensorflow_probability
  from tensorflow_probability.python.internal import prefer_static
  from inference_gym.internal import data
  from inference_gym.targets import bayesian_model
  from inference_gym.targets import model
  from inference_gym.targets.ground_truth import german_credit_numeric_probit_regression
label_desc: Use image node_id 1 for calling a global function with example usage: _add_bias(features) and returns: tf