code: def dG(self, epsilon, alpha, beta):
      return (
          (alpha - 1.0 / 3)
          * (3.0 / tf.sqrt(9.0 * alpha - 3.0))
          * (1.0 + epsilon / tf.sqrt(9.0 * alpha - 3.0)) ** 2
      ) / beta
  
file_path: cornac/cornac/models/pcrl/pcrl.py
imports: import numpy
  import scipy.sparse
  import scipy
  import tensorflow
label_desc: Use image node_id 6 for calling the PCRL_ obj's underlying member method code with example usage: obj.dG(epsilon, alpha, beta) and returns: unknown