Python sklearn. Why I received warnings first time only?

Question

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) 
>>>

score 5 · Answer 1 · answered Feb 26 '14 at 21:50

5

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")

answered Feb 26 '14 at 21:50

Derek Farren

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score 4 · Accepted Answer · answered Nov 28 '13 at 11:59

4

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.

answered Nov 28 '13 at 11:59

Abhishek Thakur

16,337
15
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Ok thanks but I was only wondering why i receive the warnings only one time. – Donbeo Nov 28 '13 at 12:00
maybe it converged for other iterations but not one! – Abhishek Thakur Nov 28 '13 at 12:03

Python sklearn. Why I received warnings first time only?

2 Answers2