Open in new window / Try shogun cloud
--- Log opened Wed Jun 25 00:00:47 2014
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iglesiasggood night, people00:05
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shogun-buildbotbuild #731 of nightly_all is complete: Failure [failed compile test]  Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_all/builds/731  blamelist: Viktor Gal <viktor.gal@maeth.com>, Fernando Iglesias <fernando.iglesiasg@gmail.com>, Parijat Mazumdar <mazumdarparijat@gmail.com>03:04
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shogun-buildbotbuild #835 of nightly_default is complete: Failure [failed test notebooks]  Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_default/builds/835  blamelist: Viktor Gal <viktor.gal@maeth.com>, Fernando Iglesias <fernando.iglesiasg@gmail.com>, Parijat Mazumdar <mazumdarparijat@gmail.com>06:11
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thoralfHello.19:43
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kislayhey HeikoS120:27
HeikoS1kislay: hey there!20:27
kislayHeikoS1, can you look over #2325. It's done most probably20:27
HeikoS1kislay: yep20:28
HeikoS1let me check20:28
HeikoS1kislay: commented quite a few things20:38
kislayHeikoS1, yup20:38
HeikoS1kislay: most important is the matrix inversion, that should be cholesky, and never compute and store inverse20:39
HeikoS1the rest is cosmetics20:39
HeikoS1(sorry for making you clean up the code of others, but thats the we we improve :) )20:39
kislayHeikoS1, it will help me for my future work. so its good20:40
HeikoS1kislay: thats good20:40
HeikoS1kislay: see david barbers book20:43
HeikoS116.2 Fisher's Linear Discriminant20:43
HeikoS1kislay: the method you implement is described there, and also when it fails. you should put the solution (regularisation) also in20:44
HeikoS1kislay: and document properly20:44
HeikoS1kislay: maybe you can even put in example 16.1 into the notebook? :)20:45
HeikoS1kislay: sorry for asking for more and more :)20:45
HeikoS1CanonVar.m: Canonical Variates20:45
HeikoS1demoCanonVarDigits.m: Demo for Canonical Variates20:45
HeikoS1check his implementation also20:45
HeikoS1kislay: very worth understanding and very worth to have in Shogun20:48
kislayHeikoS1, coooool20:52
kislayHeikoS1, I needed some docs!20:52
HeikoS1kislay: this book is a good source for all those basic probabilistic methods20:52
kislayHeikoS1, all the time following OpenCV was getting tougher!20:52
HeikoS1hehe20:53
HeikoS1kislay: let me know if you need any help or so20:53
kislayHeikoS1, sure!20:53
kislayhey HeikoS1 ... Is it good to have a preprocessor of LDA?20:53
HeikoS1kislay: yes totally20:53
kislayor should I revert back and try to add this in MCLDA20:54
HeikoS1kislay:  whats the story with that one?20:54
HeikoS1why revert back?20:54
kislayno. maybe its repetative.20:54
HeikoS1kislay: please give me some context, I have no idea what you are talking about :)20:54
kislayactually we have a Multiclass LDA implemented already. But it is way too different than Fisher LDA20:55
kislayso I came up with this. It's okay?20:55
HeikoS1kislay: came up with?20:56
HeikoS1kislay: we should have a std LDA and a multiclass LDA20:56
HeikoS1but if they share lots of things, they should be dealt with in one class20:57
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kislaythen this is standard LDA, I would think!20:58
HeikoS1kislay: what do you mean?20:59
kislayI came across this implementation a lot .20:59
HeikoS1kislay: could you be  a bit more precise, I dont get what you want to say21:01
kislayah! nothing actually. I just got confused above.21:03
kislaywill complete it.21:03
HeikoS1kislay: so whats the plan on those classes then?21:11
kislayHeikoS1, I will complete the PR with the docs you suggested21:12
kislayspecially the canonival variates that you suggested.21:14
HeikoS1kislay: cool21:15
HeikoS1kislay: but fix the other things first and make unit tests pass /write some, ebfore doing the new thing, thats just a minor modiufication, we want to approach the step-wise21:15
kislayHeikoS1, thanks man. This will be more solid now!21:15
kislayHeikoS1, yup. sure21:15
HeikoS1kislay: commenting similar things on the other PR :)21:18
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shogun-notifier-shogun: lambday :develop * 69340bc / data: https://github.com/shogun-toolbox/shogun/commit/69340bc951d08375b0d413a3f7644064d4c309c821:37
shogun-notifier-shogun: Reverting changes in data to fix broken build on develop21:37
shogun-notifier-shogun: Heiko Strathmann :develop * 4c9c918 / data: https://github.com/shogun-toolbox/shogun/commit/4c9c918b9a991eda716b9f42c0e629906a58adc221:37
shogun-notifier-shogun: Merge pull request #2330 from lambday/develop21:37
shogun-notifier-shogun:21:37
shogun-notifier-shogun: Reverting changes in data to fix broken build on develop21:37
shogun-notifier-shogun: Heiko Strathmann :develop * 625b0ca / src/shogun/features/SubsetStack.cpp: https://github.com/shogun-toolbox/shogun/commit/625b0ca93f0001c9379f94af81ba5a5f6fc76f7e21:41
shogun-notifier-shogun: Update SubsetStack.cpp21:41
shogun-notifier-shogun:21:41
shogun-notifier-shogun: remove warning, update license21:41
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shogun-buildbotbuild #2399 of bsd1 - libshogun is complete: Failure [failed test]  Build details are at http://buildbot.shogun-toolbox.org/builders/bsd1%20-%20libshogun/builds/2399  blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>, lambday <heavensdevil6909@gmail.com>21:45
shogun-buildbotbuild #372 of deb4 - python3 is complete: Success [build successful]  Build details are at http://buildbot.shogun-toolbox.org/builders/deb4%20-%20python3/builds/37221:50
shogun-notifier-shogun: Saurabh :develop * 0bf54f3 / doc/ipython-notebooks/regression/Regression.ipynb: https://github.com/shogun-toolbox/shogun/commit/0bf54f302f55050a7889cec52345891f72e728e821:50
shogun-notifier-shogun: Regression nb21:50
shogun-notifier-shogun: Saurabh :develop * a7372bc / doc/ipython-notebooks/regression/Regression.ipynb: https://github.com/shogun-toolbox/shogun/commit/a7372bc850b074a65ac7a6f3141d87bdcd9817fe21:50
shogun-notifier-shogun: lars section21:50
shogun-notifier-shogun: Saurabh :develop * e3ee8e2 / doc/ipython-notebooks/regression/Regression.ipynb: https://github.com/shogun-toolbox/shogun/commit/e3ee8e238291a0b5f44d9508a0f670dc0aa5459021:50
shogun-notifier-shogun: refine lars and intro21:50
shogun-notifier-shogun: Saurabh :develop * b7cf615 / doc/ipython-notebooks/regression/Regression.ipynb: https://github.com/shogun-toolbox/shogun/commit/b7cf615c5de6e33ffb017863c33fcb941824bac021:50
shogun-notifier-shogun: add krr, examples and math21:50
shogun-notifier-shogun: Heiko Strathmann :develop * 7c16bf8 / doc/ipython-notebooks/regression/Regression.ipynb: https://github.com/shogun-toolbox/shogun/commit/7c16bf8a4d901e7d5a118ff01823ade7655a654221:50
shogun-notifier-shogun: Merge pull request #2268 from Saurabh7/regressnb21:50
shogun-notifier-shogun:21:50
shogun-notifier-shogun: Regression nb21:50
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HeikoS1yorkerlin: hi!21:55
yorkerlinhi21:55
HeikoS1yorkerlin: how are things?21:56
yorkerlinthe fourth KL method is passed  unit tests21:56
HeikoS1yorkerlin: super nice!21:56
HeikoS1yorkerlin: did you see my comments on the PR?21:57
yorkerlinjust saw21:57
yorkerlinthe method has a default value NULL21:58
yorkerlinif the function value is NULL, it will be activated21:58
HeikoS1yorkerlin: could you just write some tests that ensure this?21:58
yorkerlinok21:58
yorkerlinin fact, the first three KL method is used the orignial l-bfgs. I will add some simple example as unit test.22:02
HeikoS1yorkerlin: you dont need to test complicated examples, you can use pathalogical ones, just to make sure that your new option works as desired22:14
yorkerlinI will use this example min {x_1^2+x_2^2} without constraint the opt value is 0. if the constraint is all x_i >=1, the opt value is 222:15
HeikoS1yep thats good!22:15
yorkerlindo you think this example is enough?22:15
HeikoS1yeah I was just really more after checking the few new lines you added. obvious bugs22:16
yorkerlinwhere?22:16
yorkerlinplease name them. I will correct them.22:17
HeikoS1yorkerlin: nono, I did not mean I found bugs, I just want to make sure there are no obvious ones22:17
yorkerlinok.22:17
HeikoS1yorkerlin: you know, like they happen when one adds an option to code :)22:17
yorkerlinyes. I know22:18
shogun-buildbotbuild #2387 of deb3 - modular_interfaces is complete: Success [build successful]  Build details are at http://buildbot.shogun-toolbox.org/builders/deb3%20-%20modular_interfaces/builds/238722:22
HeikoS1shogun-buildbot: build nightly_all22:23
HeikoS1 shogun-buildbot: force build nightly_all22:24
HeikoS1shogun-buildbot: commands22:24
shogun-buildbotbuildbot commands: commands, dance, destroy, force, hello, help, last, list, mute, notify, source, status, stop, unmute, version, watch22:24
HeikoS1shogun-buildbot: force build nightly_all22:25
shogun-buildbotThe build has been queued, I'll give a shout when it starts22:25
HeikoS1force build nightly_default22:25
HeikoS1force build osx2_python22:25
HeikoS1shogun-buildbot: force build nightly_default22:25
shogun-buildbotThe build has been queued, I'll give a shout when it starts22:25
HeikoS1shogun-buildbot: force build osx2_python22:26
shogun-buildbotno such builder 'osx2_python'22:26
HeikoS1shogun-buildbot: force build osx2 - python22:26
shogun-buildbotno such builder 'osx2'22:26
HeikoS1shogun-buildbot: force build osx2-python22:26
shogun-buildbotno such builder 'osx2-python'22:26
HeikoS1shogun-buildbot: force build "osx2 -  python"22:26
shogun-buildbotno such builder 'osx2 -  python'22:26
shogun-buildbotbuild #2400 of bsd1 - libshogun is complete: Failure [failed test]  Build details are at http://buildbot.shogun-toolbox.org/builders/bsd1%20-%20libshogun/builds/2400  blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>, Saurabh <saurabh.mahindre@gmail.com>22:26
HeikoS1shogun-buildbot: force build rpm122:26
shogun-buildbotno such builder 'rpm1'22:26
HeikoS1yorkerlin: whats the state of the notebook btw? any drafts already?22:29
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HeikoS1yorkerlin: you mentioned that you are interested in doing multiclass Laplace Approx?22:33
yorkerlinyes22:33
HeikoS1yorkerlin: I think that woul dbe nice22:34
HeikoS1yorkerlin: in fact, we could do a bunch of multiclass things?22:34
yorkerlinMy plan is to implement Laplace and 2 Kl methods22:34
HeikoS1yorkerlin: like some EP or variational stuff22:34
HeikoS1yorkerlin: then we finally have multiclass GP :)22:34
yorkerlinfor multiclass22:34
yorkerlinfor GSoC period22:34
HeikoS1which KL?22:35
yorkerlinthe fast dual22:35
yorkerlinthe cholesky22:35
yorkerlinpossible the approx diagonal22:35
HeikoS1do these work seamlessly for multiclass likelihoods?22:35
yorkerlinfast dual is yes22:36
yorkerlinI think laplace is the basis for multiclass22:36
yorkerlinthat is why I implement this first22:36
HeikoS1yorkerlin: yeah its a good baseline (and doesnt work well ;) )22:37
HeikoS1yorkerlin: btw we could also use some sparse approximations to GP classification, if you are interested in doing something after gsoc :)22:38
yorkerlinyes. I know and I am interested. I will finish the basis first22:38
HeikoS1yorkerlin: for regression we already have the FITC, which is quite nice22:39
yorkerlinlaplace has naive  implementation but I go beyond that22:39
HeikoS1but there are also variational extensions to learn the inducing points22:39
HeikoS1yorkerlin: what do you mean naive implementation?22:39
yorkerlinmulticlass depends on class decoding22:39
HeikoS1yorkerlin: what do you mean by that?22:40
yorkerlinif we use 0/1 vector for multiclass22:41
HeikoS1yorkerlin: ah I see22:41
HeikoS1yeah, its basically one GP per class22:41
yorkerlinyeah22:41
HeikoS1and then model their covariance jointly22:41
HeikoS1what do you want to do?22:41
yorkerlinno22:41
yorkerlinI think the GPML has a pusedo code for efficient implementation22:42
yorkerlinthe GPML text book22:42
HeikoS1yorkerlin: of multiclass laplace?22:42
HeikoS1yorkerlin: yeah22:42
yorkerlinyes22:42
HeikoS1yorkerlin: but dont base your code on that22:42
HeikoS1yorkerlin: many caveats22:42
HeikoS1yorkerlin: rather follow an existing implementation, like GPStuff22:42
HeikoS1of pyGP22:42
HeikoS1or22:43
yorkerlinyes. I will follow some existing implementation.22:43
yorkerlinbut the basic idea should be the same.22:43
HeikoS1yorkerlin: yeah sure, its all about these nasty little numerical linear algebra tricks ;)22:44
yorkerlinin fact, I can derive all KL methods  by hand.22:46
HeikoS1yorkerlin: I would talk to emt before doing that. It is not clear whether things work nicely for multiclass. There is quite a bit of literature on this22:46
yorkerlinThis is good for me to extend some unimpelemted idea in shogun22:46
HeikoS1yorkerlin: so we should go for something that is known to work well22:47
yorkerlinok22:47
HeikoS1yorkerlin: see what I mean?22:47
yorkerlinyes22:47
yorkerlinso, for now I juse continue to do notebook first. right?22:47
HeikoS1yorkerlin: yeah, notebook should have main focus now22:48
HeikoS1yorkerlin: we want a really really cool one22:48
HeikoS1yorkerlin: with nice examples, etc22:48
yorkerlini see22:48
HeikoS1reproduce paper results22:48
HeikoS1etc22:48
yorkerlinagree22:49
yorkerlinand some bugs may appear and fix for some big real dataset(s)22:49
HeikoS1yorkerlin: exactly22:50
HeikoS1yorkerlin: do you also want to write some benchmarks?22:50
HeikoS1yorkerlin: we have a folder for that, might be good22:51
HeikoS1yorkerlin: ah and then also the linalg interface. We can solve all factorizations and inversions on a GPU if we manage to get this going until then22:51
yorkerlinbenchmarks for speed or ?22:51
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thoralfHey.22:52
HeikoS1thoralf: hi!22:53
yorkerlinok.22:53
thoralfHey HeikoS122:53
yorkerlinhi22:53
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travis-ci[travis-ci] it's Heiko Strathmann's turn to pay the next round of drinks for the massacre he caused in shogun-toolbox/shogun: http://travis-ci.org/shogun-toolbox/shogun/builds/2843965623:06
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travis-ci[travis-ci] it's Heiko Strathmann's turn to pay the next round of drinks for the massacre he caused in shogun-toolbox/shogun: http://travis-ci.org/shogun-toolbox/shogun/builds/2844005723:31
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shogun-buildbotbuild #151 of osx2 - python is complete: Failure [failed test python modular]  Build details are at http://buildbot.shogun-toolbox.org/builders/osx2%20-%20python/builds/151  blamelist: lambday <heavensdevil6909@gmail.com>23:37
--- Log closed Thu Jun 26 00:00:48 2014