def UsingMLlibraries(self,xTrain,yTrain,xTest,yTest):
sgdR = SGDRegressor(tol=1e-4, penalty=None)
sgdR.n_iter = np.ceil(10000000)
sgdR.fit(xTrain,yTrain)
yPredict = sgdR.predict(xTest)
print("Part 2: Using ML libraries")
print("First 10 values:\n")
print("Predicted MPG values Actual MPG values")
for ind in range(10):
print(" %f\t\t %f" % (yPredict[ind],yTest[ind]))
