Open in new window / Try shogun cloud
--- Log opened Sun Mar 13 00:00:21 2016
--- Day changed Sun Mar 13 2016
@HeikoSbesser82: quite good00:00
@HeikoSsome more free time these days00:00
@HeikoSwhich is nice00:00
@HeikoSbut ends soon :)00:00
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shogun-notifier-shogun: Heiko Strathmann :develop * 7bd7f28 / examples/meta/cpp/CMakeLists.txt: https://github.com/shogun-toolbox/shogun/commit/7bd7f283d8246f5fa9b63373e55de52eb945d69700:07
shogun-notifier-shogun: turn off unused variables warning for cpp meta examples00:07
shogun-buildbotbuild #514 of trusty - libshogun - viennacl is complete: Failure [failed configure]  Build details are at http://buildbot.shogun-toolbox.org/builders/trusty%20-%20libshogun%20-%20viennacl/builds/514  blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>00:08
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mizariheya guys. wanna join GSoC, sorry for being late :s07:45
mizariI'm interested in following ideas:07:45
mizarilinux part of https://github.com/shogun-toolbox/shogun/wiki/GSoC_2015_project_installation07:45
mizarihttps://github.com/shogun-toolbox/shogun/wiki/GSoC_2015_clean_up_infrastructure07:45
mizarihttps://github.com/shogun-toolbox/shogun/wiki/GSoC_2015_cluster_shogun if or when time's left07:45
mizariI have little to none knowledge of ML, but I really wanna get into it07:46
mizariso from shogun's GSoC I expect myself to improve my C++ skills and ML, so I can help after :p07:46
mizarican I get someone to talk about it and pick up some tasks?07:47
shogun-buildbotbuild #25 of deb1 - libshogun - PR is complete: Failure [failed cookbook]  Build details are at http://buildbot.shogun-toolbox.org/builders/deb1%20-%20libshogun%20-%20PR/builds/25  blamelist: tbskm07:55
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BurningBearhello, mizari. I am new here and I wanna join GSoC too.I am a student in China. maybe we can study and make progress together!08:44
mizarithats nice, what is the idea you want to work on?08:47
BurningBearI am interested in "Fundamental Machine Learning Algorithms"08:49
BurningBearhttps://github.com/shogun-toolbox/shogun/wiki/GSoC_2016_project_fundamental_usual_suspects08:49
mizaritwo students could be there, sounds like a good idea08:52
mizariI also like the project itself08:52
BurningBear:) haha, I have little knowledge of ML too, so I think we must try our best to learn it!09:00
BurningBearmay I get your E-mail?09:01
mizariPM'ed09:13
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sanujlisitsyn: there?11:07
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shogun-buildbotbuild #515 of trusty - libshogun - viennacl is complete: Failure [failed configure]  Build details are at http://buildbot.shogun-toolbox.org/builders/trusty%20-%20libshogun%20-%20viennacl/builds/515  blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>11:23
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shogun-notifier-shogun: Heiko Strathmann :develop * 25eacf4 / CMakeLists.txt: https://github.com/shogun-toolbox/shogun/commit/25eacf4bc5362f8e2a25e39352f816ab2dfe1d7811:23
shogun-notifier-shogun: fix HAVE_LINALG_LIB not being set if ViennaCL is not available (but eigen3 is)11:23
shogun-buildbotbuild #26 of deb1 - libshogun - PR is complete: Success [build successful]  Build details are at http://buildbot.shogun-toolbox.org/builders/deb1%20-%20libshogun%20-%20PR/builds/2611:27
shogun-notifier-shogun: youssef :develop * 261d224 / src/shogun/machine/LinearMachine.cpp: https://github.com/shogun-toolbox/shogun/commit/261d2246c9a66d355b56d42d535a27a717fabf8b11:28
shogun-notifier-shogun: rename params to avoid warnings11:28
shogun-notifier-shogun: Heiko Strathmann :develop * 197fe44 / src/shogun/machine/LinearMachine.cpp: https://github.com/shogun-toolbox/shogun/commit/197fe44b19f47f512f61c4808672899b481b243e11:28
shogun-notifier-shogun: Merge pull request #3065 from youssef-emad/develop11:28
shogun-notifier-shogun:11:28
shogun-notifier-shogun: Avoid compiler warnings in LinearMachine11:28
shogun-buildbotbuild #516 of trusty - libshogun - viennacl is complete: Failure [failed configure]  Build details are at http://buildbot.shogun-toolbox.org/builders/trusty%20-%20libshogun%20-%20viennacl/builds/516  blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>, youssef <youssef.emad.attia@gmail.com>11:28
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sanujHeikoS: how to generate least_squares_regression.dat?11:53
@HeikoSsanuj: hi11:53
@HeikoSrun `make test`11:53
sanujoh11:53
@HeikoSand then check build/examples/meta/cpp/classifier/knn.dat11:53
@HeikoSif this is not clear from the Readme, please add it :)11:53
sanujHeikoS: i tried generate.py11:54
@HeikoSthis file has to go to data/testsuite/meta/classifier/knn.dat11:54
sanujHeikoS: cool11:54
@HeikoSsanuj: no thats old11:54
@HeikoSthe meta examples use something else11:54
@HeikoSplease update any readme if you find something outdated11:54
sanujHeikoS:11:54
sanujyeah11:54
@HeikoSsanuj: great that you are using it, I am looking forward to see these cookpage example tests in action11:54
sanuji'll send a PR to shogun data for this11:55
sanujstart a new PR for linear ridge regression cookbook11:55
@HeikoSsanuj: yes you have to update data11:59
@HeikoSand then use this updated data revision in your PR where you send the example, it will be two PRs11:59
@HeikoSsanuj: and please update the readme if you think it is not clear, so we dont have to explain this to 100 people again and again ;)11:59
sanujHeikoS: sure i'll update the readme12:00
@HeikoSsanuj: great thanks a lot12:00
sanuj:)12:00
sanujHeikoS: In this wiki https://github.com/shogun-toolbox/shogun/wiki/Example_Generation12:08
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sanuj'real' is not mentioned. it was used at some point of time in knn.sg12:08
@HeikoSsanuj: this is not relevant fot the meta examples12:08
@HeikoSI see12:09
sanujHeikoS: using 'float' gives an error12:09
@HeikoSI see12:09
@HeikoSgood catch12:10
@HeikoSsanuj: that is in fact defined in the target jsons12:10
@HeikoSif you want to re-add this, check cpp.json, csharp.json and java.json12:10
@HeikoSthey tell how the convertion works12:10
@HeikoSI just put in real for now12:10
@HeikoScould put in float as well12:11
sanujHeikoS: okay12:11
@HeikoSsanuj: but not important for now12:11
@HeikoSill take care of it later12:11
sanujHeikoS: cool12:11
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sanujHeikoS: https://github.com/shogun-toolbox/shogun-data/pull/8013:01
sanujis it correct?13:01
sanuji don't see any serialized data in that file13:01
@HeikoSsanuj: yes see my comment13:10
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sanujHeikoS: can you review the content in updated lsr cookbook page? I'll put almost the same content in LinearRidgeRegression page also.15:31
@HeikoSsanuj: will do, but I have to fix the integration test file first. Not sure what the problem there is15:32
sanujhttps://github.com/shogun-toolbox/shogun/pull/306415:32
@HeikoSsanuj: I am currently preparing a talk for tomorrow, but will have a look a bit later15:32
sanujHeikoS: sure :)15:32
@HeikoShttp://papers.nips.cc/paper/6006-learning-structured-densities-via-infinite-dimensional-exponential-families.pdf15:32
@HeikoSin case you like kernels ;)15:32
sanujHeikoS: nice!15:34
sanujyou are going to talk about this?15:35
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shogun-notifier-shogun-data: Heiko Strathmann :master * 591f9d5 / testsuite/meta/classifier/knn.dat: https://github.com/shogun-toolbox/shogun-data/commit/591f9d567a9fb3de2354627b3c81053d6321e38317:42
shogun-notifier-shogun-data: correct knn meta example output17:42
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@HeikoSsanuj: I sent a fix for the integration text17:51
@HeikoStest17:51
@HeikoSonce it is merged, you can use the example as inspiration again17:51
@HeikoSsanuj: note I changed my mind on evaluation, a sinmple case should be in there17:51
sanujHeikoS: yeah i saw17:51
@HeikoSall real valued results are stored to file17:52
@HeikoSthe problem was a wrong method call on the labels17:52
@HeikoSget_values rather than get_labels17:52
@HeikoShttp://buildbot.shogun-toolbox.org/cookbook_pr/fed6c4075a52028fb11206ce2aafcdbf09411bce/examples/classifier/knn.html17:52
sanujHeikoS: how do you get the links to the buildbot cookbook builds? :P17:53
sanujHeikoS: and why do we have a buildbot when we have travis?17:53
@HeikoSsanuj: wiking did soem magic17:53
@HeikoSsanuj: we now generate the html output of the cookbook on the buildbot for every PR sent17:54
@HeikoShttp://buildbot.shogun-toolbox.org/builders/deb1%20-%20libshogun%20-%20PR17:54
sanujHeikoS: yes17:54
@HeikoSsanuj: and we have the buildbot because travis does not give us unlimited computation time or architectures17:54
@HeikoSwe run shogun build and tests in all sorts of flavours, update the notebooks and doc online, etc17:55
@HeikoShttp://buildbot.shogun-toolbox.org/waterfall17:55
@HeikoSyou can see all the differnt OS there17:55
@HeikoSthe cookbook feature is the best, since I can read the patches in rendered html rather than the source file itself17:55
sanujHeikoS: yeah i have seen those before.....17:55
sanujHeikoS: agreed about the cookbook build features17:56
sanujHeikoS: it's sweet17:56
sanujbuildbot looks vast17:56
sanujHeikoS: i will have to update the PR before you review it....add back mean squared error etc17:59
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shogun-notifier-shogun: Heiko Strathmann :develop * e1c923c / / (7 files): https://github.com/shogun-toolbox/shogun/commit/e1c923c7114a675a6192a23294d3d4504b0ef37018:14
shogun-notifier-shogun: general update of knn example, in particular integration test18:14
@HeikoSsanuj: merged it18:14
shogun-notifier-shogun: Heiko Strathmann :develop * fed6c40 / doc/cookbook/README.md: https://github.com/shogun-toolbox/shogun/commit/fed6c4075a52028fb11206ce2aafcdbf09411bce18:14
shogun-notifier-shogun: added comment on integration test reference file locations18:14
shogun-notifier-shogun: Heiko Strathmann :develop * edd688b / / (8 files): https://github.com/shogun-toolbox/shogun/commit/edd688be75ffa2d5a9905c72114264318c7ee0b218:14
shogun-notifier-shogun: Merge pull request #3068 from karlnapf/develop18:14
shogun-notifier-shogun:18:14
shogun-notifier-shogun: general update of knn example, in particular integration test18:14
shogun-buildbotbuild #517 of trusty - libshogun - viennacl is complete: Failure [failed configure]  Build details are at http://buildbot.shogun-toolbox.org/builders/trusty%20-%20libshogun%20-%20viennacl/builds/517  blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>18:14
@HeikoSsanuj: ^18:14
shogun-buildbotbuild #518 of trusty - libshogun - viennacl is complete: Failure [failed configure]  Build details are at http://buildbot.shogun-toolbox.org/builders/trusty%20-%20libshogun%20-%20viennacl/builds/518  blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>18:15
sanujHeikoS: cool, i'll rebase and update my pR18:15
lisitsynhey18:25
lisitsynHeikoS: no news yet18:25
@HeikoSlisitsyn: hi!18:25
@HeikoSnews on website you mean?18:25
lisitsynyeap18:26
@HeikoSlisitsyn: ok18:26
@HeikoSabout to merge first PR for cookbook18:26
@HeikoSlisitsyn: hey just also wanted to follow up on this "show" listing thing18:26
lisitsynHeikoS: oh I could focus on that now18:27
lisitsynHeikoS: but!18:27
lisitsynHeikoS: need your advice ;)18:28
lisitsynHeikoS: what's best short GP introduction you know?18:28
@HeikoSlisitsyn: the rasmussen book18:28
@HeikoSit is wonderful18:28
@HeikoSchapter 318:29
@HeikoSah no18:29
@HeikoS218:29
@HeikoSthe one on regression18:29
lisitsynHeikoS: yeah that's true18:29
lisitsynso nothing better you know?18:29
@HeikoS3 is classification18:29
@HeikoSlisitsyn: i dont think one can do this better18:29
lisitsynhah I see cool18:29
lisitsynok will use it then18:29
@HeikoSlisitsyn: let me know if you have questions18:29
lisitsynHeikoS: I have to put GPs in a max 3 hour long lecture18:30
@HeikoSthats fine18:30
@HeikoSyou need 3 slides18:30
@HeikoShttp://www.gaussianprocess.org/gpml/chapters/RW2.pdf18:30
@lambdaylisitsyn: you're giving lectures? where?18:31
@HeikoSfigure 2.218:31
@lambdayI might use some of the slides to get introduced to GPs18:31
@HeikoSfigure 2.518:31
lisitsynlambday: yes, hse18:31
@HeikoSand one slide with the math18:31
@HeikoSeq 2.2118:32
@HeikoSthats all people need to know ;)18:32
lisitsynHeikoS: hah18:32
@HeikoSwe also have this wonderful video lecture from the shogun workshop ;)18:32
lisitsynHeikoS: btw my student is currently researching this spectral mixture kernel18:32
@HeikoSlisitsyn: I see18:32
@HeikoSand?18:32
@HeikoSdid he already realise it is crap? :)18:33
lisitsynits working but18:33
lisitsynwell18:33
lisitsynI don't want it to be crap18:33
@HeikoSbtw esben hopefully soon fixes his PR on that18:33
@HeikoShe impoemented it in shogun18:33
lisitsynHeikoS: we had some daily activity dataset18:33
lisitsynand this thing made good enough regression18:33
@HeikoSlisitsyn: it is impossible to optimise the parameters18:34
@HeikoSother approaches are way more stable18:34
lisitsynwhat other approaches you could mention?18:34
@HeikoS1.) hand chosen kernel composition18:34
@HeikoScheck the rassmussen bok18:35
@HeikoShttp://www.gaussianprocess.org/gpml/chapters/RW5.pdf18:35
@HeikoSsection 5.4.318:35
@HeikoSthis is easier to tune18:35
@HeikoSor do something like they do in the automated statistician18:35
@HeikoShttp://www.automaticstatistician.com/index/18:35
@HeikoSthey have a grammar of kernel functions and automatically compose them18:36
@HeikoShttp://www.automaticstatistician.com/static/abcdoutput/01-airline.pdf18:36
@HeikoSinterpretable18:36
@HeikoSand automatic18:36
lisitsynHeikoS: oh but that's still kernel18:36
sanujHeikoS: I'm still getting empty least_squares_regression.dat18:36
lisitsynthis makes me happy enough18:36
sanujHeikoS: using get_labels()18:36
@HeikoSsanuj: run make meta_examples18:36
sanuji did make examples18:37
sanujand make test18:37
@HeikoSsanuj: is the cpp code updated?18:37
lisitsynHeikoS: the thing is that these standard models like ARMA don't do this kool enough18:37
sanujyes18:37
@HeikoSlisitsyn: if you wanna be kool choose the SM kernel and witness it failing ;)18:38
@HeikoSlisitsyn: no honestly, I dont reccomend using it18:38
@HeikoSsanuj: its works here18:38
sanujHeikoS: this is what i have in cpp => auto output = labels_test->get_labels();18:38
@HeikoSand you are checking the correct .dat file?18:38
sanujHeikoS: okay, i'll see18:39
@HeikoSit is generated in the build dir18:39
@HeikoSnot in data18:39
@HeikoScheck build/tests/meta/generated_results/cpp/classifier18:39
sanujHeikoS: /home/sanuj/Projects/shogun/build_new/examples/meta/cpp/regression/least_squares_regression.dat18:39
sanuji deleted the old one just to make sure18:39
@HeikoSand still empty?18:40
sanujHeikoS: knn.dat is also empty18:40
sanujyeah18:40
@HeikoSnot for me18:40
@HeikoSgit pull?18:40
sanujyeah i did git pull18:41
sanuji'll build a fresh build18:41
@HeikoSand make test fails?18:41
@HeikoSbecause the data file is NOT empty18:41
sanujHeikoS: all the generated tests passed18:42
@HeikoSand the knn.dat in data/testsuite/meta/classifier/?18:43
sanujHeikoS: is empty18:45
@HeikoSyou have to do git pull in data then18:45
@HeikoShttps://github.com/shogun-toolbox/shogun-data/blob/master/testsuite/meta/classifier/knn.dat18:45
sanujoh wait18:46
sanujHeikoS: 160 - integration_meta_cpp-classifier_knn (Failed)18:46
@HeikoSyou missed some git pull, pretty sure18:46
@HeikoSI gotta run now18:46
@HeikoSsee you later :)18:46
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--- Log closed Mon Mar 14 00:00:29 2016