Open in new window / Try shogun cloud
--- Log opened Mon Sep 14 00:00:19 2015
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shogun-buildbotbuild #1050 of nightly_default is complete: Failure [failed test notebooks]  Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_default/builds/1050  blamelist: Bj?rn Esser <bjoern.esser@gmail.com>, Robert Pollak <robert.pollak@mykolab.com>05:58
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ddk_I succeeded to compile shogun V4 under ubuntu 14.04.3LTS10:56
ddk_but some libs are missing like eigen3 any idea where to find those?10:57
ddk_it's ok it is called libeigen3-dev, I am recompiling now :-)11:01
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ddk_mmm still no output on the example regression_gaussian_process_gaussian11:30
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ddk_Any idea why even with the libeigen3-dev the regression_gaussian_process_gaussian is not running???15:21
ddk_any idea what following 0 means in #if defined(HAVE_EIGEN3) && defined(HAVE_NLOPT) && 015:41
@wikingdkk15:42
@wikingdkk_15:42
@wikingit's because // temporally disabled, since API was changed15:42
ddk_yes wiking15:43
ddk_so the samples don't work?15:43
@wikingyeah api has changed since this has been written15:44
ddk_a pity because I want to create the same test as on your website15:47
ddk_gaussian process regression with ml2 learning15:47
ddk_because I have a list of stock closing prices I want to use as test data to predict the next days in the future15:48
lisitsynprobably you can use older version?15:49
lisitsynI am out of this change, wiking who's doing that?15:49
lisitsynwu?15:49
ddk_thanks lisitsyn any idea what would be the best model to do this?15:50
ddk_I have tried NN but the results are not good15:51
lisitsynddk_: what about support vector regression?15:51
ddk_seems also ok but I can't find any example how to use it, I am strong in C/C++ but machine learning is all new to me ...15:53
ddk_lisitsyn do you have a example of this in c/c++?15:55
lisitsynddk_: yeah check e.g. regression_svrlight15:57
ddk_lisitsyn: can't find it in the examples only libsvr15:58
@wikingddk_: examples/undocumented/libshogun/regression_libsvr.cpp15:59
ddk_wiking: when I run this one I get mean squared error: 0.033732 nothing more16:00
lisitsynyes, what else? ;)16:02
ddk_lisitsyn: sorry you guys are experts in this I am feeling a bit a baby ;-)16:02
lisitsynddk_: ha not a problem16:03
lisitsynddk_: its a simple example16:03
lisitsynjust runs and evaluates what it gets16:03
lisitsynwe expect user to read it and learn by example16:03
ddk_I just want to feed the model 100 points to learn and then to predict the next few points16:04
ddk_like the cool example on the website16:04
ddk_lisitsyn: I think I will look for a easier toolbox because this one has so many features I can't grasp it ...16:08
lisitsynddk_: I guess its sklearn16:09
lisitsyn:)16:09
ddk_sklearn?16:09
lisitsynyes that's the usual choice nowadays16:09
lisitsynits python though16:09
ddk_lisitsyn: the problem is I need only 1 solution but this toolbox is so big I have no clue where to begin. The website is very cool with the try it yourself pages but those examples you can't find back in the toolbox ...16:11
ddk_lisitsyn: I just need to replace the toydata with my own data points and I am ready to go :-)16:12
ddk_lisitsyn: scikit seems nice to but indeed python and the results are no so good as Shogun with the same data points16:15
ddk_not a lot of svm toolboxes support gaussian kernel16:33
lisitsynddk_: sorry, back16:52
lisitsynI don't think result would be very different16:52
ddk_I just tested it and Shogun give a better result ...16:53
lisitsynddk_: why do you want to use C++? :)16:53
lisitsynah16:53
lisitsynddk_: so you compare sklearn and shogun on same data?16:53
ddk_because I am a long time c/c++ user16:53
ddk_yep16:53
ddk_real stock market data of IBM :-)16:53
lisitsynheh that's cool16:54
lisitsynwhat method it is?16:54
ddk_svr with gaussian but I just read a paper and radial basis seems to give better results17:00
lisitsynok cool17:01
ddk_I found LIBSVM, compiles very fast17:01
lisitsynyes we have libsvm17:01
ddk_and what are the results?17:01
lisitsynwell should be the same17:02
lisitsynits just the same libsvm put inside the library17:02
ddk_do you have any sample data files for libsvm?17:02
lisitsynddk_: you mean in libsvm format?17:03
ddk_yep17:03
lisitsynuhmm searching17:05
lisitsynddk_: on the libsvm website17:05
lisitsynthere are a few datasets17:05
lisitsynyou can read them with libsvm itself and shogun17:06
lisitsynif you want to compare17:06
ddk_found it, but a simple data file is hard to find :-)17:09
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ddk_lisitsyn: RBF kernel ...17:14
lisitsynddk_: what? :)17:15
ddk_best results17:15
lisitsynddk_: well gaussian aka rbf is good17:15
ddk_and scaling the data makes the results even better17:16
lisitsynddk_: expected17:17
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--- Log closed Tue Sep 15 00:00:20 2015