Donbeo
Donbeo

Reputation: 17617

Python sklearn. Why I received warnings first time only?

I received warnings first time only. Is this normal?

>>> cv=LassoCV(cv=10).fit(x,y)
C:\Python27\lib\site-packages\scikit_learn-0.14.1-py2.7-win32.egg\sklearn\linear_model\coordinate_descent.py:418: UserWarning: Objective did not converge. You might want to increase the number of iterations
  ' to increase the number of iterations')
>>> cv=LassoCV(cv=10).fit(x,y) 
>>> 

Upvotes: 3

Views: 5222

Answers (2)

Derek Farren
Derek Farren

Reputation: 127

It's because the python warnings filter is set to just warn the first time it catches a particular warning by default.

If you want to get all the warnings, just add this:

import warnings
warnings.simplefilter("always")

Upvotes: 5

Abhishek Thakur
Abhishek Thakur

Reputation: 17015

because the "objective did not converge". The maximum iterations are by default 1000 and you are not setting them. Try setting the max_iter parameter to a higher value to avoid the warning.

Upvotes: 4

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