Sat Jun 17 09:39:08 2023

wave_regression_ols():
  Python version: 3.8.10
  scikit-learn version: 1.2.2

  Generate the wave dataset, (X, y).
  X.shape: (60, 1)
  Plot the dataset.
  Graphics saved as 'wave_regression_data.png'

  Produce linear regression coefficients y = a * x + b
  a =  [0.39390555]   b =  -0.03180434302675973

  Training score:
0.6700890315075756
  Test score:
0.6593368596863701

Compare least squares line to data.
  Graphics saved as 'wave_regression_ols.png'

wave_regression_ols():
  Normal end of execution.
Sat Jun 17 09:39:09 2023