Open in new window / Try shogun cloud
--- Log opened Tue Jun 17 00:00:36 2014
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shogun-notifier-shogun-data: lambday :master * c216ce9 / testsuite/ (8 files): https://github.com/shogun-toolbox/shogun-data/commit/c216ce9b2ed0e668acd7f0b18e5c6fcc6fcd261200:45
shogun-notifier-shogun-data: updated data for PR #230900:45
shogun-notifier-shogun-data: Soumyajit De :master * d3a75a6 / testsuite/ (8 files): https://github.com/shogun-toolbox/shogun-data/commit/d3a75a6ff44b83e173384acc21f5e3cc8e629c5200:45
shogun-notifier-shogun-data: Merge pull request #55 from lambday/master00:45
shogun-notifier-shogun-data:00:45
shogun-notifier-shogun-data: updated data for PR #230900:45
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shogun-notifier-shogun: lambday :feature/mmd * 32f26d6 / / (11 files): https://github.com/shogun-toolbox/shogun/commit/32f26d6fe6a6520f85d7c8baaa1c30e2ad872e8602:19
shogun-notifier-shogun: Fixed covariance computation in CStreamingMMD and some other changes02:19
shogun-notifier-shogun:02:19
shogun-notifier-shogun: Changes made02:19
shogun-notifier-shogun:02:19
shogun-notifier-shogun:  - While computing covariance matrix in streaming mmd for multiple02:19
shogun-notifier-shogun: Soumyajit De :feature/mmd * e38ca25 / / (11 files): https://github.com/shogun-toolbox/shogun/commit/e38ca25ecbbb36839432b2c2ccd3e3dc834c0e0e02:19
shogun-notifier-shogun: Merge pull request #2309 from lambday/feature/btest02:19
shogun-notifier-shogun:02:19
shogun-notifier-shogun: Fixed covariance computation in CStreamingMMD and some other changes02:19
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travis-ci[travis-ci] it's Soumyajit De'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/2773229602:49
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shogun-buildbotbuild #30 of nightly_fedora is complete: Failure [failed git]  Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_fedora/builds/30  blamelist: Sergey Lisitsyn <lisitsyn.s.o@gmail.com>, khalednasr <k.nasr92@gmail.com>03:00
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shogun-buildbotbuild #125 of osx2 - python is complete: Failure [failed test python modular]  Build details are at http://buildbot.shogun-toolbox.org/builders/osx2%20-%20python/builds/125  blamelist: Abhijeet <abhijeetkislay@gmail.com>10:03
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shogun-buildbotbuild #126 of osx2 - python is complete: Failure [failed test python modular]  Build details are at http://buildbot.shogun-toolbox.org/builders/osx2%20-%20python/builds/126  blamelist: lambday <heavensdevil6909@gmail.com>, abinashpanda <abinash.panda.ece10@itbhu.ac.in>, Bj?rn Esser <bjoern.esser@gmail.com>, Parijat Mazumdar <mazumdarparijat@gmail.com>, Kevin Hughes10:28
shogun-buildbot<kevinhughes27@gmail.com>, jiaolong <jiaolongxu@gmail.com>, Wu Lin <yorker.lin@gmail.com>, tklein23 <tklein23@users.noreply.github.com>, Soumyajit De <heavensdevil6909@gmail.com>, Thoralf Klein <thoralf@fischlustig.de>, Heiko Strathmann <heiko.strathmann@gmail.com>, Sergey Lisitsyn <lisitsyn.s.o@gmail.com>, Fernando Iglesias <fernando.iglesiasg@gmail.com>, Abhijeet10:28
shogun-buildbot<abhijeetkislay@gmail.com>, khalednasr <k.nasr92@gmail.com>10:28
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visofHello11:24
visofi'm trying to make word2vec11:25
visofand i got word2vec.c:1: error: CPU you selected does not support x86-64 instruction set11:25
visofany suggestion11:25
visof?11:25
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wiking_word2vec.c ?11:57
visofwiking_: yeah12:07
wiking_what's that?12:11
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visof_Hell15:19
visof_Hello15:19
visof_is there anybody around?15:19
lambdayvisof_: yes.. hi!15:19
visof_lambday: have you played with freebase before?15:21
visof_or semantic web15:21
lambdayvisof_: um... nope! sorry :)15:22
visof_lambday: have used word2vec?15:22
visof_lambday: if i can two words like "goelocation_latitude" and "latitude" , how can get they are somehow the same thing15:23
visof_maybe also "location_geolocation_latitude" and "latitude" also and comparison like this15:24
lambdayvisof_: I'm afraid I'm not the right person to address this... this is hardcore NLP stuff :/ I don't know much about that15:25
visof_lambday: you don't use word2vec?15:25
lambdayvisof_: no man! sorry :(15:26
visof_haha may i ask why are you here?15:26
lambdayvisof_: I work in a different domain15:27
visof_okay thanks15:27
lisitsynhaha I am confused15:29
lisitsynvisof_: why do you think we know about word2vec? ;)15:29
lambdaylisitsyn: :D15:29
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lambdaylisitsyn: nystisil: both avatars present, eh?15:43
lisitsynlambday: yeah :D15:44
lambdayman Masters thesis is such a PITA :(15:47
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lambdaywish I can finish BAHSIC this week.. will get to use it for my thesis :/15:48
lambdayHeikoS: hey15:48
@HeikoSlambday: hey!15:49
@HeikoSlambday: BAHSIC yeah! :)15:49
@HeikoSlambday: if you want to, start with that15:49
lambdayHeikoS: I found another bug in linear time mmd code... fixed it15:49
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@HeikoSlambday: just had a chat with Dino, who is not about to review the stuff you did so far a bit15:49
lambdayHeikoS: not about to?15:50
lisitsynlambday: do masters in russia :D15:50
lisitsyneasy hah15:50
@HeikoSnow15:50
lambdaylisitsyn: yeah.. I should have tried in europe for masters15:50
@HeikoSlambday: ^15:50
lambdayHeikoS: oh... :D btw did you happen to check the design for BAHSIC?15:51
lambdayHeikoS: for three variable interaction, I think we need a separate class..15:51
lambdayHeikoS: so for three-variable interaction... we'll check two of the features and the labels, right? x_1 and x_2 from p and y from q?15:52
@HeikoSlambday: I guess so, I am about to discuss it with dino also15:52
@HeikoSwill do later today15:52
lambdayHeikoS: alright.. I also sent b-test patch..15:52
@HeikoSlambday: cool15:52
@HeikoSlambday: now back to life as exams/deadline is over15:52
lambdayHeikoS: travis complains about a libshogun example taking too much time...15:52
lambdayHeikoS: haha.. yeah and now my deadlines begin.. both here in gsoc and in my insti.. :/15:53
@HeikoSlambday: ah well, you already did lots of things!15:54
@HeikoSlambday: but lets push the feature selection stuff. if its useful for your thesis that would be amazinh15:54
@HeikoSlambday: what are the immediate next steps?15:54
lambdayHeikoS: yeah.. so.. I think if we can finalize the design for BAHSIC I can start with that...15:54
@HeikoSlambday: let me talk to dino now then15:55
@HeikoScould you send an email to both of us with the latest design?15:55
@HeikoS(in case things changed?)15:55
lambdayHeikoS: well, I didn't change anything in the previous design...15:55
@HeikoSok well discuss this one then15:55
@HeikoSgive me 30 mins15:55
lambdayHeikoS: thanks :) no hurries though15:56
@HeikoSlambday: things for your list also: b-test API exmple, and notebook section15:56
lambdayHeikoS: yeah... so in the notebook do you think we should use new implementation... or a comparison of previous and current implementation should also go there?15:56
lambdayfor linear time mmd and quadratic time mmd I mean15:57
lambday(oh but in that case, we *have* to have both the implementation in the same branch which we don't have currently)15:57
lambdayHeikoS: btw dino also suggested that we put kernel selection stuff under a base CKernelSelection instead of CMMDKernelSelection..15:58
lambdayso inside feature selection stuff, we can use that instead15:58
lambdaywhich I think is a great idea for future kernel selection stuffs we might have15:59
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thoralfHeyho.16:22
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@wikingHeikoS: ping17:34
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@HeikoSwiking: po18:52
@HeikoSwiking: ng18:53
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shogun-notifier-shogun: lambday :feature/mmd * f89a274 / / (6 files): https://github.com/shogun-toolbox/shogun/commit/f89a274ca6a0726baed5c4d49c2e5c2f1e8b95a319:29
shogun-notifier-shogun: B-test MMD added19:29
shogun-notifier-shogun: Heiko Strathmann :feature/mmd * 15f8032 / / (6 files): https://github.com/shogun-toolbox/shogun/commit/15f80322801a2f863009a9800c24c8d3354e26fb19:29
shogun-notifier-shogun: Merge pull request #2317 from lambday/feature/btest19:29
shogun-notifier-shogun:19:29
shogun-notifier-shogun: B-test MMD added19:29
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thoralfHeyho.19:40
@HeikoSthoralf: hey!19:41
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abinash_pandathoralf: hey !20:59
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lisitsynkhalednasr: hey what's up21:10
khalednasrlisitsyn, hey, starting to work on deep belief nets21:11
lisitsynkhalednasr: could you please explain your last PR :D21:11
lisitsynkhalednasr: I merged it as it is totally ok code-wise :D21:11
lisitsynbut I don't really know what's this sampling with evidence21:12
khalednasrlisitsyn, ahh, well normally after you train an rbm on some data you'll want to draw samples from the marginal P(data) to see what the rbm thinks the data looks like21:13
khalednasrthats what the regular sample() functions do21:13
lisitsynkhalednasr: will you see some different blobs for different classes?21:13
khalednasrbut if your data is divided into two groups, say pixels and labels21:13
lisitsynahh so this is where evidence comes from21:14
khalednasrby sampling with evidence I mean sampling from P(pixels | labels)21:14
lisitsyncool I see21:15
lisitsynkhalednasr: this marginalized P(data)21:16
lisitsynhow does it look?21:16
lisitsynwhat are the samples?21:16
khalednasrlisitsyn, if you're training on digits, the samples will look like digits21:16
lisitsynahh got it21:16
lisitsynkhalednasr: how does it work? :D21:17
lisitsynkhalednasr: I guess that's possible for RBMs but not for any other kind of NN, right?21:17
khalednasrlisitsyn, it's like fitting a multivariate gaussian to some data, after you learn the mean and the variance, you can draw samples from the distribution and they will look somewhat like the data you trained on21:18
lisitsyngot it21:18
lisitsyncool21:18
lisitsynthanks for this explanation!21:19
khalednasrlisitsyn, for rbms, you learn the weights and then use gibbs sampling starting from some random states and you end up with samples from the model21:19
khalednasrit only works for rbms21:19
khalednasryou're welcome :)21:19
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lisitsynkhalednasr: wow you're just on time with your schedule21:24
lisitsynthat's scary21:24
lisitsyn:D21:24
khalednasrlisitsyn, except for the GPU stuff :D21:24
lisitsynthat's ok21:24
lisitsynwe have to push it though I guess21:25
lisitsynbut you finished RBMs exactly the date you planned :D21:25
lisitsynthat's scary!21:25
khalednasrlisitsyn, haha :D21:25
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--- Log closed Wed Jun 18 00:00:37 2014