Version Error with Numpy when version contains string "<int>, <int>, <string>"

[BarusXXX]

`

Traceback (most recent call last):
File "C:/Users/user/PycharmProjects/DeepLearningCoarse/current.py", line 7, in
from sklearn.utils import shuffle
File "C:\Users\user\AppData\Local\Programs\Python\Python35\lib\site-packages\sklearn_init_.py", >line 57, in module
from .base import clone
File "C:\Users\user\AppData\Local\Programs\Python\Python35\lib\site-packages\sklearn\base.py", line 12, in module
from .utils.fixes import signature
File "C:\Users\user\AppData\Local\Programs\Python\Python35\lib\site-packages\sklearn\utils_init_.py", line 11, in module
from .validation import (as_float_array,
File "C:\Users\user\AppData\Local\Programs\Python\Python35\lib\site-packages\sklearn\utils\validation.py", line 18, in
from ..utils.fixes import signature
File "C:\Users\user\AppData\Local\Programs\Python\Python35\lib\site-packages\sklearn\utils\fixes.py", line 407, in module
if np_version < (1, 12, 0):
TypeError: unorderable types: str() < int()
`

A string handler is needed for the case where the version of numpy contains string such as:

`

print(np_version)
(1, 12, '0b1')
`

[nelson-liu]

I think this was fixed a few days ago in master, see #7902

[BarusXXX]

Thanks!

So the 3rd value of the version sequence is not needed?

[amueller]

see #7980