class variable CV not available from instance LogitNet?Python version issue??!!

[seanv507]

from glmnet import LogitNet
m3 = LogitNet()
xd = trn

%time m3 = m3.fit(X=xd, y=yd_trn)

the fit command gives me an error

Traceback (most recent call last):

  File "<timed exec>", line 1, in <module>

  File "XXX/anaconda3/lib/python3.6/site-packages/glmnet/logistic.py", line 206, in fit
    self.cv = self.CV(n_splits=self.n_splits, shuffle=True,

AttributeError: 'LogitNet' object has no attribute 'CV'

I have 'fixed' it by changing code to LogitNet.CV .... I am not clear on why this should be required.

I am using Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct 13 2017, 12:02:49)

[stephen-hoover]

Thanks for the report! Could you provide a minimum working (broken) example? I'm unable to reproduce. The following code works as expected for me:

Python 3.6.3 | packaged by conda-forge | (default, Dec  9 2017, 16:20:51)
Type 'copyright', 'credits' or 'license' for more information
IPython 6.1.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: from sklearn.datasets import make_classification

In [2]: from glmnet import LogitNet

In [3]: X, y = make_classification(random_state=42)

In [4]: m = LogitNet()

In [5]: %time m = m.fit(X, y)
CPU times: user 85.1 ms, sys: 3.15 ms, total: 88.3 ms
Wall time: 118 ms

In [6]: import glmnet, sklearn

In [7]: print(glmnet.__version__, sklearn.__version__)
2.0.0 0.19.0

[kcrum]

Which version of glmnet do you have installed? Try

import glmnet
print(glmnet.__version__)

I created a conda environment with python 3.6.3 and then pip installed glmnet (version 2.0.0), but I was unable to reproduce your error.

[seanv507]

Hi I'm sorry I can't reproduce it myself. ( my kernel died) and using stephens test now works as expected

[stephen-hoover]

Thank you for the bug report. Please re-open this ticket if the problem re-occurs!