code: def scorer(network, X, y):
      result = network.predict(X)
      return rmsle(result, y)
  
file_path: neupy/examples/rbfn/grnn_params_selection.py
imports: import heapq
  import numpy
  from sklearn import datasets
  from sklearn.model_selection import RandomizedSearchCV
  from neupy import algorithms
label_desc: Use image node_id 2 for calling a global function with example usage: scorer(network, X, y) and returns: rmsle