class_docstr: Apply a prior probability to the weights.
      
code: def get_config(self):
      return {"probability": self.probability}
  
imports: from tensorflow import keras
  import math
label_desc: Use image node_id 2 for calling the PriorProbability obj's underlying member method code with example usage: obj.get_config() and returns: dict