text: from random import randint
  from sklearn.linear_model import LinearRegression
  TRAIN_SET_LIMIT = 1000
  TRAIN_SET_COUNT = 100
  
  TRAIN_INPUT = list()
  TRAIN_OUTPUT = list()
  for i in range(TRAIN_SET_COUNT):
      a = randint(0, TRAIN_SET_LIMIT)
      b = randint(0, TRAIN_SET_LIMIT)
      c = randint(0, TRAIN_SET_LIMIT)
      op = a + (2*b) + (3*c)
      TRAIN_INPUT.append([a, b, c])
      TRAIN_OUTPUT.append(op)
  predictor=LinearRegression(n_jobs=-1)
  predictor.fit(X=TRAIN_INPUT,y=TRAIN_OUTPUT)
  X_TEST=[[1,2,3]]
  outcome=predictor.predict(X=X_TEST)
  coefficients=predictor.coef_
  
  print('Outcome: {}\nCoefficients: {}'.format(outcome,coefficients))