code: def parallel(X_predict, clf, xtype):
      Z = clf.predict(X_predict.astype(xtype))
      return Z
  
file_path: mlxtend/mlxtend/plotting/decision_regions.py
imports: import multiprocessing
  from itertools import cycle
  from math import ceil, floor
  import matplotlib.pyplot
  import numpy
  from mlxtend.utils import check_Xy, format_kwarg_dictionaries
label_desc: Use image node_id 2 for calling a global function with example usage: parallel(X_predict, clf, xtype) and returns: Z