Ridge Regression Example

Question

Can you give an example for Ridge Regression using python? Thank you

Answer 1

Hey @Nipun, you can try something like this:

>>> from sklearn import linear_model
>>> reg = linear_model.Ridge(alpha=.5)
>>> reg.fit([[0, 0], [0, 0], [1, 1]], [0, .1, 1]) 
Ridge(alpha=0.5, copy_X=True, fit_intercept=True, max_iter=None,
      normalize=False, random_state=None, solver='auto', tol=0.001)
>>> reg.coef_
array([0.34545455, 0.34545455])
>>> reg.intercept_ 
0.13636...

Ridge will take in its fit method arrays X, y and will store the coefficients  of the linear model in its coef_ member