Open in new window / Try shogun cloud
--- Log opened Tue Mar 05 00:00:59 2013
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shogun-buildbotbuild #312 of nightly_default is complete: Success [build successful]  Build details are at
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shogun-notifier-shogun: Heiko Strathmann :master * 9a867fa / src/shogun/ (4 files):
shogun-notifier-shogun: removed some warnings via adding documentation17:34
shogun-notifier-shogun: Heiko Strathmann :master * 605fa17 / / (4 files):
shogun-notifier-shogun: -removed the data generator example and moved it to the unit-tests17:34
shogun-notifier-shogun: -renamed the unit test17:34
shogun-notifier-shogun: Heiko Strathmann :master * bc4c071 / src/shogun/base/SGObject.cpp:
shogun-notifier-shogun: code formating17:34
shogun-notifier-shogun: Heiko Strathmann :master * 1b0e0ed / src/NEWS:
shogun-notifier-shogun: added a note on Viktors cool new unit tests17:34
shogun-notifier-shogun: Heiko Strathmann :master * 3a81dd2 / src/shogun/io/streaming/InputParser.h:
shogun-notifier-shogun: fixed a typo17:34
shogun-notifier-shogun: Heiko Strathmann :master * 4b774b1 / examples/undocumented/libshogun/classifier_mkl_svmlight_modelselection_bug.cpp:
shogun-notifier-shogun: added example to reproduce the mkl model selection bug with SVMLight17:34
shogun-notifier-shogun: Heiko Strathmann :master * 77e75db / examples/undocumented/libshogun/Makefile:
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heikoblackburn: I have done all my stuff for release17:55
heikoblackburn: there are some bugs open, but I think it would more sense if other people fixed then since they are more into the framework at that point17:55
heikoblackburn: I have details about the problems in the issues17:56
nandoheiko: I will have a look to the issues and see if there is something for me there17:57
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blackburnheiko: okay I see18:02
heikonadn0, cool, I think its just a point of how much time one is going to spend on these bugs, and someone who has written the code will probably be faster in doing this18:05
heikoblackburn: what do you think of adding this automatic example description? we could have some meta tags in the files for this18:05
blackburnheiko: reading your mail18:05
blackburnheiko: well we have something (recall we have documentation in examples)18:06
shogun-notifier-shogun: Heiko Strathmann :master * a499fcd / src/shogun/statistics/LinearTimeMMD.h:
shogun-notifier-shogun: removed warnings by adding documentation18:06
blackburnheiko: like that
shogun-notifier-shogun: Heiko Strathmann :master * 6bc71bb / src/shogun/statistics/LinearTimeMMD.h:
shogun-notifier-shogun: Merge pull request #909 from karlnapf/master18:06
shogun-notifier-shogun: more warnings removed18:06
heikoblackburn:  I know, but this just pastes the code into the website18:07
blackburnheiko: doc + code18:07
heikowhere is that?18:07
heikoblackburn: so I had some kind of list in mind which one can easily browse through18:07
blackburn# This example shows how to use a custom defined kernel function for training a # two class Support Vector Machine (SVM) classifier on a randomly generated # examples. The SVM regularization constant is set to C=1.18:08
blackburn# In this example we demonstrate how to use SVMs in a domain adaptation # scenario. Here, we assume that we have two problem domains, one with # an abundance of training data (source domain) and one with only a few # training examples (target domain).18:08
heikoI see18:08
heikoso just comments18:08
heikoI never saw that :)18:09
heikomaybe I will just add comments to the existing examples in that case18:09
heikosorry for always not knowing about things :D18:09
heikoblackburn:  syntax highlighting would be cool :)18:09
blackburnheiko: yes18:10
blackburnheiko: ipython notebooks actually18:10
blackburnis the thing I would like to see18:10
heikoblackburn, this would be ultra cool18:10
blackburnheiko: takes time and work..18:10
heikoI mean just having a few scentences is already worth more than nothing18:11
heikosince once can search that18:11
heikolike: custom kernel18:11
heikoor similar18:11
shogun-buildbotbuild #866 of deb3 - modular_interfaces is complete: Failure [failed test python_modular]  Build details are at  blamelist: Sergey Lisitsyn <>18:15
blackburnheiko: about active subset stack18:16
blackburnheiko: it failed in GPs18:16
blackburnheiko: I added a NULL check in some method a few weeks ago18:17
shogun-buildbotbuild #867 of deb3 - modular_interfaces is complete: Failure [failed test python_modular]  Build details are at  blamelist: Heiko Strathmann <>18:23
heikoblackburn, I think this should be fine18:26
heikoif the parameter is null, it just wont build a parameter dictionary18:27
heikobut parameters need to be allowed to be null18:27
heikoI actually dont really know that jacob did with these parameter dictionaries18:27
heikoblackburn: Perceptron algorithm did not converge after 1000 iterations.18:28
heikowhat about this thing18:28
heikothat happens from time to time18:28
blackburnheiko: it is random iirc18:42
heikoyes, probably18:43
blackburnheiko: our test data is not linearly separable18:43
blackburnor not easy sepeerable18:44
shogun-buildbotbuild #868 of deb3 - modular_interfaces is complete: Success [build successful]  Build details are at
shogun-buildbotbuild #869 of deb3 - modular_interfaces is complete: Failure [failed test python_modular]  Build details are at  blamelist: Heiko Strathmann <>19:25
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--- Log closed Wed Mar 06 00:00:04 2013