rheras
commented
7 years ago 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
HI all,
I've run libfm in Ubuntu using the dataset detailed below, Random model run OK, however when I tried the rest of the models in my list (I followed the models_example.py example provided here), i.e. BPR, TFIDFModel, Popularity, TensorCoFi, ..., an error "ValueError: sample larger than population" is always triggered with every model.
Please, does anyone know what could be the source of this problem? any suggestion? There are many entries in Internet related with this problem in python, but the answers and potential causes described I think doesn't apply this case, so is unclear for me. Btw, the dataset size is bigger than 5K rows...
Thanks in advance, regards, R. ------------------ test:
Traceback (most recent call last): File "modeltest2.py", line 57, in
print evaluator.evaluate_model(m, testing, all_items=items,)
File "build/bdist.linux-x86_64/egg/testfm/evaluation/evaluator.py", line 83, in evaluate_model
File "build/bdist.linux-x86_64/egg/testfm/evaluation/evaluator.py", line 30, in partial_measure
File "/usr/lib/python2.7/random.py", line 321, in sample
raise ValueError("sample larger than population")
ValueError: sample larger than population