task.py 文件源码

def main():
  diabetes = datasets.load_diabetes()
  diabetes_X = diabetes.data[:, np.newaxis, 2]

  diabetes_X_train = diabetes_X[:-20]
  diabetes_X_test = diabetes_X[-20:]

  diabetes_y_train = diabetes.target[:-20]
  diabetes_y_test = diabetes.target[-20:]

  regr = linear_model.LinearRegression()
  regr.fit(diabetes_X_train, diabetes_y_train)

  print('Coefficients: \n', regr.coef_)
  print("Mean squared error: %.2f" %
        np.mean((regr.predict(diabetes_X_test) - diabetes_y_test)**2))
  print('Variance score: %.2f' % regr.score(diabetes_X_test, diabetes_y_test))