import multiprocessing

ET = ExtraTreesClassifier(n_estimators=10, criterion='gini', max_features='auto', bootstrap=False) # .76
RF = RandomForestClassifier(n_estimators=25, random_state=1)# .75
GB = GradientBoostingClassifier() # .74
ET = ExtraTreesClassifier(n_estimators=10, criterion='gini', max_features='auto', bootstrap=False) # .77 # without this lil fucker, Acc: 0.75 [Ensemble]
clfList = [ET,RF,GB,ET]

def spawn(clf):
  clf.fit(x,y)
  print("Done another one!")

import time
start = time.time()

if __name__ == '__main__':

  for i in clfList:
    print(i)
    #spawn(i) # 16 secounds

    # # 16 secounds
    # p = threading.Thread(target=spawn, args=(i,))
    # p.start()
    # p.join()

  p=multiprocessing.Pool(6) # 15.65
  results = p.map(spawn,clfList) # clfList has 4 models, first 2 are fast, last 2 are slow
  results


end = time.time()
print(end - start)