CircleCI checks the documentation build (although apparently it ignores changes only to docstrings). Travis runs all tests on a linux system. AppVeyor tests on Windows.
On 12 July 2016 at 08:11, Basil Beirouti <[email protected]> wrote: > > Hi, > > Joel thanks for pointing out the indentation issue. I have fixed it. > > Can someone explain what the 3 tests that were automatically run on my > code are? And why did the Appveyor and Travis ones fail? > > Sincerely, > Basil Beirouti > Sent from my iPhone > > > On Jul 11, 2016, at 11:00 AM, [email protected] wrote: > > > > Send scikit-learn mailing list submissions to > > [email protected] > > > > To subscribe or unsubscribe via the World Wide Web, visit > > https://mail.python.org/mailman/listinfo/scikit-learn > > or, via email, send a message with subject or body 'help' to > > [email protected] > > > > You can reach the person managing the list at > > [email protected] > > > > When replying, please edit your Subject line so it is more specific > > than "Re: Contents of scikit-learn digest..." > > > > > > Today's Topics: > > > > 1. Re: Scikit learn GridSearchCV fit method ValueError Found > > array with 0 sample (Maciek W?jcikowski) > > > > > > ---------------------------------------------------------------------- > > > > Message: 1 > > Date: Mon, 11 Jul 2016 13:33:28 +0200 > > From: Maciek W?jcikowski <[email protected]> > > To: Scikit-learn user and developer mailing list > > <[email protected]> > > Subject: Re: [scikit-learn] Scikit learn GridSearchCV fit method > > ValueError Found array with 0 sample > > Message-ID: > > <CAH2JJR1BqHC0PzNv7uaugkQ9GDBUTev4yuJ1qOWuJa=ewz1...@mail.gmail.com> > > Content-Type: text/plain; charset="utf-8" > > > > Shouldn't you pass labels (binary) instead of continuous data? If you > wish > > to stick to logK's and keep the distribution unchanged then you'd better > > reduce the number of classes (eg round the values to nearest integer?). > > > > It might be the case that the counts per class are floored and you get 0 > > for some cases. > > > > ---- > > Pozdrawiam, | Best regards, > > Maciek W?jcikowski > > [email protected] > > > > 2016-07-11 13:16 GMT+02:00 Micha? Nowotka <[email protected]>: > > > >> Hi Maciek, > >> > >> Thanks for suggestion, I think the problem indeed is related to the > >> StratifiedKFold because if I use KFold instead the code works fine. > >> However, if I print StratifiedKFold object it looks fine to me: > >> > >> sklearn.cross_validation.StratifiedKFold(labels=[ 5.43 8.74 8.1 > >> 6.55 7.66 6.52 8.6 7.1 6.4 8.05 7.89 6.68 > >> 8.06 6.17 5.5 7.96 5.78 6. 7.74 5.83 6.51 6.31 6.68 9.22 > >> 6.07 7.06 7.12 8.64 5.72 6.4 7.64 5.74 7.41 6.49 6.81 7.1 > >> 7.66 6.68 7.05 6.28 5.49 6.35 6.9 6.2 7.51 5.65 9.3 5.84 > >> 6.92 5.75 6.92 8.8 7.04 5.81 5.73 5.31 7.13 7.66 6.98 5.93 > >> 8.24 6.96 8.22 7.27 7.34 5.91 5.57 6.5 7.28 6.74 4.92 6.88 > >> 5.8 9.15 6.63 6.37 8.66 6.4 ], n_folds=5, shuffle=False, > >> random_state=None) > >> > >> > >> On Fri, Jul 8, 2016 at 10:42 PM, Maciek W?jcikowski > >> <[email protected]> wrote: > >>> Hi Micha?, > >>> > >>> What are the class counts in that set? Maybe there is a problem with > >>> generating stratified subsamples (eg some classes get below 1 sample)? > >>> > >>> ---- > >>> Pozdrawiam, | Best regards, > >>> Maciek W?jcikowski > >>> [email protected] > >>> > >>> 2016-07-08 17:22 GMT+02:00 Micha? Nowotka <[email protected]>: > >>>> > >>>> Hi, > >>>> > >>>> Sorry for cross posting > >>>> > >>>> ( > >> > http://stackoverflow.com/questions/38263933/scikit-learn-gridsearchcv-fit-method-valueerror-found-array-with-0-sample > >> ) > >>>> but I don't know where is better to get help with my problem. > >>>> I'm working on a VM with Jupyter notebook server installed. > >>>> From time to time I add new notebooks and reevaluate old ones to see > >>>> if they still work. > >>>> > >>>> This notebook stopped working due to some changes in scikit-learn API > >>>> and some parameters become obsolete: > >> > https://github.com/chembl/mychembl/blob/master/ipython_notebooks/10_myChEMBL_machine_learning.ipynb > >>>> > >>>> I've created a corrected version of the notebook here: > >>>> > >>>> https://gist.github.com/anonymous/676c55cc501ffa48fecfcc1e1252d433 > >>>> > >>>> But I'm stuck in cell 36 on this code: > >>>> > >>>> from sklearn.cross_validation import KFold > >>>> from sklearn.grid_search import GridSearchCV > >>>> > >>>> X_traina, X_testa, y_traina, y_testa = > >>>> cross_validation.train_test_split(x, y, test_size=0.95, > >>>> random_state=23) > >>>> > >>>> params = {'min_samples_split': [8], 'max_depth': [20], > >>>> 'min_samples_leaf': [1],'n_estimators':[200]} > >>>> cv = KFold(n=len(X_traina),n_folds=10,shuffle=True) > >>>> cv_stratified = StratifiedKFold(y_traina, n_folds=5) > >>>> gs = GridSearchCV(custom_forest, params, > >>>> cv=cv_stratified,verbose=1,refit=True) > >>>> gs.fit(X_traina,y_traina) > >>>> > >>>> This gives me: > >>>> > >>>> ValueError: Found array with 0 sample(s) (shape=(0, 491)) while a > >>>> minimum of 1 is required. > >>>> > >>>> Now I don't understand this because when I print shapes of the > samples: > >>>> > >>>> print (X_traina.shape, X_testa.shape, y_traina.shape, y_testa.shape) > >>>> > >>>> I'm getting: > >>>> > >>>> ((78, 491), (1489, 491), (78,), (1489,)) > >>>> > >>>> Interestingly, if I change the test_size parameter to 0.88 (like in > >>>> the example corrected notebook) it works and this is the highest value > >>>> where it works. For this value, the shapes are: > >>>> > >>>> ((188, 491), (1379, 491), (188,), (1379,)) > >>>> > >>>> So the question is - what should I change in my code to make it work > >>>> for test_size set to 0.95 as well? > >>>> > >>>> Kind regards, > >>>> > >>>> Michal Nowotka > >>>> _______________________________________________ > >>>> scikit-learn mailing list > >>>> [email protected] > >>>> https://mail.python.org/mailman/listinfo/scikit-learn > >>> > >>> > >>> > >>> _______________________________________________ > >>> scikit-learn mailing list > >>> [email protected] > >>> https://mail.python.org/mailman/listinfo/scikit-learn > >> _______________________________________________ > >> scikit-learn mailing list > >> [email protected] > >> https://mail.python.org/mailman/listinfo/scikit-learn > > -------------- next part -------------- > > An HTML attachment was scrubbed... > > URL: < > http://mail.python.org/pipermail/scikit-learn/attachments/20160711/d66aa81c/attachment-0001.html > > > > > > ------------------------------ > > > > Subject: Digest Footer > > > > _______________________________________________ > > scikit-learn mailing list > > [email protected] > > https://mail.python.org/mailman/listinfo/scikit-learn > > > > > > ------------------------------ > > > > End of scikit-learn Digest, Vol 4, Issue 15 > > ******************************************* > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn >
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