error 'ValueError: sample larger than population' running the models

[grafos-ml]

error 'ValueError: sample larger than population' running the models

[rherasm]

BTW, running the example provided with the testfm sourcecode (https://github.com/grafos-ml/test.fm/blob/master/src/testfm/examples/models_example.py), with the dataset data/movielenshead.dat

there are some errors as well, with some of the models,
but those errors seems are not related with the error above...

Additionally, could anybody confirm whats exactly the output values [0.2877098548938246] returned by the models, what that means? Where can I found this information?
Maybe is related with MSE, or EER, ...? Here there are not parameters as Precision or Recall, right?
Thanks !

----------- (python 2.7) test1:
sysadmin@myUbuntuhost:~/testfm/test.fm-1.0/src/fm$ python modeltest1.py
modeltest1.py:20: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.

sep="::", header=None, names=["user", "item", "rating", "date", "title"])
user item rating date title
0 1 122 5.0 838985046 Boomerang (1992)
1 1 185 5.0 838983525 Net, The (1995)
2 1 231 5.0 838983392 Dumb & Dumber (1994)
3 1 292 5.0 838983421 Outbreak (1995)
4 1 316 5.0 838983392 Stargate (1994)

**0:00:00.142133 Random [0.2877098548938246]

0:00:19.330961 BPR (dim=10,iter=15,reg=0.0001,eta=0.001) [0.2886932217273792]**

/home/sysadmin/.local/lib/python2.7/site-packages/testfm-1.0-py2.7-linux-x86_64.egg/testfm/models/content_based.py:110: FutureWarning: iget(i) is deprecated. Please use .iloc[i] or .iat[i]
/home/sysadmin/.local/lib/python2.7/site-packages/testfm-1.0-py2.7-linux-x86_64.egg/testfm/models/content_based.py:155: RuntimeWarning: invalid value encountered in double_scalars
/home/sysadmin/.local/lib/python2.7/site-packages/testfm-1.0-py2.7-linux-x86_64.egg/testfm/models/content_based.py:155: RuntimeWarning: invalid value encountered in divide

0:00:01.142259 TF/IDF [0.22061728516487217]
0:00:00.004290 Popularity [0.5390989431901517]
Traceback (most recent call last):
File "modeltest1.py", line 40, in
m.fit(training)
File "src/testfm/models/cutil/interface.pyx", line 178, in testfm.models.cutil.interface.IFactorModel.fit (src/testfm/models/cutil/interface.c:3745)
File "src/testfm/models/cutil/interface.pyx", line 103, in testfm.models.cutil.interface.IModel.fit (src/testfm/models/cutil/interface.c:3037)
File "build/bdist.linux-x86_64/egg/testfm/models/tensorcofi.py", line 96, in train
File "/usr/lib/python2.7/subprocess.py", line 710, in init
errread, errwrite)
File "/usr/lib/python2.7/subprocess.py", line 1327, in _execute_child
raise child_exception
OSError: [Errno 2] No such file or directory