Show python implementation of Lasso class - regression

Question

Show python implementation of Lasso class in linear regression. Thank you

Answer 1

Hey @Tanmay, try something like this:

>>> from sklearn import linear_model
>>> reg = linear_model.Lasso(alpha=0.1)
>>> reg.fit([[0, 0], [1, 1]], [0, 1])  
Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
   normalize=False, positive=False, precompute=False, random_state=None,
   selection='cyclic', tol=0.0001, warm_start=False)
>>> reg.predict([[1, 1]])
array([0.8])

Transform Your Career with AI, Enroll now in the LLM Engineer course today!