Open in new window / Try shogun cloud
--- Log opened Tue Feb 10 00:00:13 2015
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shogun-buildbotbuild #221 of osx2 - modular_interfaces is complete: Failure [failed csharp modular]  Build details are at http://buildbot.shogun-toolbox.org/builders/osx2%20-%20modular_interfaces/builds/221  blamelist: Soeren Sonnenburg <sonne@debian.org>00:28
shogun-buildbotbuild #222 of osx2 - modular_interfaces is complete: Failure [failed csharp modular]  Build details are at http://buildbot.shogun-toolbox.org/builders/osx2%20-%20modular_interfaces/builds/222  blamelist: Bj?rn Esser <bjoern.esser@gmail.com>00:32
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shogun-buildbotbuild #530 of debian wheezy - memcheck is complete: Failure [failed memory check]  Build details are at http://buildbot.shogun-toolbox.org/builders/debian%20wheezy%20-%20memcheck/builds/530  blamelist: Bj?rn Esser <bjoern.esser@gmail.com>01:45
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shogun-buildbotbuild #531 of debian wheezy - memcheck is complete: Failure [failed memory check]  Build details are at http://buildbot.shogun-toolbox.org/builders/debian%20wheezy%20-%20memcheck/builds/531  blamelist: Soeren Sonnenburg <sonne@debian.org>, Bj?rn Esser <bjoern.esser@gmail.com>05:09
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shogun-buildbotbuild #845 of nightly_none is complete: Failure [failed compile]  Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_none/builds/845  blamelist: Sergey <lisitsyn.s.o@gmail.com>, Soeren Sonnenburg <sonne@debian.org>, Sergey Lisitsyn <lisitsyn.s.o@gmail.com>, Bj?rn Esser <bjoern.esser@gmail.com>05:22
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shogun-buildbotbuild #963 of nightly_default is complete: Failure [failed notebooks]  Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_default/builds/963  blamelist: Sergey <lisitsyn.s.o@gmail.com>, Soeren Sonnenburg <sonne@debian.org>, Sergey Lisitsyn <lisitsyn.s.o@gmail.com>, Bj?rn Esser <bjoern.esser@gmail.com>06:40
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Rahul21HeikoS: Hello, I am a machine learning enthusiast . Though I am not eligible for GSoC this year, would I get support from the community as in a dedicated mentor like GSoC students get. I am learning about kernels through various online resources, so I thought of giving the "Output Kernels" a try11:48
Rahul21* Output Kernel Learning11:48
@HeikoSRahul21: hi there!11:48
@HeikoSno eligible for GSoC?11:49
@HeikoSbut you still want to do a project ?11:49
Rahul21HeikoS: Yes, I am all in for learning :)11:49
@HeikoSRahul21: thats great11:50
@HeikoSwe are always looking for people who want to help11:50
@HeikoShave  a look at the github entrance tasks11:50
@HeikoSthey contain small things that you can use to get started11:50
@HeikoSthe output kernel project is a big one, we should start with something simpler11:50
Rahul21Ohh defintly, anything youd suggest. I was a web dev guy. So C++ is also new to me. I am good at Java though, but language aint a barrier I guess11:52
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@lisitsynyou probably going to receive more attention as a guy that works for free :D11:52
Rahul21Hahaha can I still submit a proposal ? I just love the whole process, its so cool :)11:53
@HeikoSRahul21: if you want to :)11:54
@HeikoSRahul21: but if there is no point, why not just send ?ber-cool patches instead?11:54
@lisitsynRahul21: hmm what's the reason you are not eligible if you can tell?11:55
@lisitsynjust to be sure you are really not11:55
@lisitsynHeikoS: oh your ? letter11:56
Rahul21I graduated in 2014, I am applying for my masters in U.S so have free time. I dont want to the boring jobs they offer here. They are like super boring. Instead I prefer something where I get to learn11:56
@HeikoSwell then, welcome!11:57
Rahul21Boring = data entry in excel ( you can imagine )11:57
@HeikoSlisitsyn: who was admin last year apart from me?11:57
@lisitsynRahul21: hah I see11:57
@lisitsynRahul21: any chance to get accepted before that deadline?11:58
@lisitsynHeikoS: me? soeren?11:58
@HeikoSlisitsyn: mmmmh ok11:58
@lisitsynHeikoS: may be besser8211:58
@lisitsyn:D11:58
Rahul21Umm I dont think so, Since I am not affiliated to my undergrad college anymore. I would probably be seen as a bad guy who breaks rules. Really dont want that tag :P11:59
@lisitsynRahul21: no I mean us masters11:59
Rahul21The Masters Program generally starts from September12:00
@lisitsynI see12:00
Rahul21I dont see an iota of chance before that12:00
Rahul21Well are you guys Machine learning Scientists ?12:01
@lisitsynok then just we would be happy if you help us improving this12:01
@lisitsynRahul21: HeikoS is scientist I am poor engineer12:01
@lisitsynHeikoS: you me soeren bj?rn viktor12:02
sonne|workHeikoS: yes12:02
@lisitsyn5 admins ahaha12:02
sonne|workHeikoS: do we have a wiki page with ideas yet?12:02
@lisitsynwe are like united states of shogun12:02
Rahul21Id want to become a scientist someday :) U.S.S12:02
@HeikoSsonne|work: growing atm12:02
sonne|worklisitsyn: I made everyone admin to not be a single point of failure12:02
sonne|worklisitsyn: which I would have been :012:03
@lisitsynsonne|work: that's good12:03
@lisitsynjk12:03
@besser82lisitsyn, yo?12:03
@lisitsynbesser82: sorry :)12:03
@lisitsynbesser82: just mentioned you were an admin last year12:03
sonne|workHeikoS: I need some more dot features in shogun (for histogram based features) etc so I would be happy to mentor that btw12:03
@besser82lisitsyn, ahh, yes :D12:04
@besser82lisitsyn, sonney2k / sonne|work made me so12:04
sonne|workHeikoS: and the other thing I wanted to know - do we have decent random forests?12:04
@lisitsynsonne|work: fernando is the man ;)12:04
sonne|workfood12:04
Rahul21This video by HeikoS is cool https://www.youtube.com/watch?v=I0Z4z_3ZwE012:04
@lisitsynsonne|work: fernando is not food12:05
@lisitsynyou should ask him not eat him12:05
@HeikoSsonne|work: we have cart only12:06
@HeikoSnot the bayesian (state of the art) one12:06
@lisitsynbayesian cart?12:07
@lisitsynreally?12:07
@HeikoSI dont know how fast the implementation is and whezther its parallel12:07
@HeikoSlisitsyn: yeah cart can overfit12:07
@HeikoSbart doesnt12:07
@HeikoSRahul21: thanks :)12:07
@lisitsynis it better than C5.0?12:07
@lisitsynHeikoS: ^12:07
@HeikoSlisitsyn: a bit12:08
@lisitsynhmm cool12:08
@HeikoSlisitsyn: no its actually a lot better12:08
@HeikoSrandom forests are the best black box method out there12:08
@lisitsynHeikoS: does bayesian mean I should provide some priors?12:08
@HeikoSno12:09
@HeikoSits in there12:09
@HeikoSlisitsyn: btw check this http://jmlr.org/papers/v15/delgado14a.html12:09
@HeikoSwe should have a project that does this with Shogun12:09
@lisitsynHeikoS: yes I did already12:09
@lisitsynHeikoS: a bit confusing12:09
@HeikoScool gsoc project12:09
Rahul21I also wanted to ask, what are some good resources to learn ML ? I did google and quora quite a lot, but I would love to hear it from you guys12:13
@HeikoSRahul21: best way to is study it :)12:16
@HeikoSbut depends on what you want to do12:16
@HeikoScoding can also help12:16
@HeikoSbut you have to understand the maths first, thats the most fundamental part12:17
@HeikoSlots of good books out there12:17
@HeikoSbayesian reasoning and machine learning by david barber12:17
@HeikoSpattern recognition and machine leanring by Chris Bishop12:17
@HeikoSIntro to Machine learning by Kevin Murphy (contains code for all plots)12:17
@HeikoSbaber book also contains code for everything12:17
Rahul21Okay I have started with the Intro to Machine Learning by Andrew Ng, its the Coursera Course12:19
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@lisitsynHeikoS: what do you think about ESL?12:34
@lisitsynelements of stat.learning12:35
@HeikoSlisitsyn:  what sthat?12:35
@HeikoSwell12:35
@lisitsynI find it pretty cool12:35
@HeikoSyeah its nice12:35
@lisitsynI do not understand bishop12:35
@lisitsyn:D12:35
@lisitsynbut I do understand ESL12:35
@HeikoSits not very general though12:35
@HeikoSI think12:35
@HeikoSnot flexible12:35
@HeikoSbut very nice stuff still12:35
@HeikoSi just prefer bayesian12:35
@lisitsynHeikoS: I guess I had to take a few bayesian crash courses to get into that thinking12:36
@HeikoSI think its way clearer and more simple12:37
@HeikoSless mathematical12:37
@HeikoSand more practical12:37
sonne|workHeikoS: alright so these 2 things would be nice to have - and from the jmlr paper I learned that they use the R random forest cran pgk13:02
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sonne|workHeikoS: alright so these 2 things would be nice to have - and from the jmlr paper I learned that they use the R random forest cran pgk13:04
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@lisitsynsonne|work: have you seen there is a thing called ELM?13:46
@lisitsynextreme learning machine13:46
@lisitsynI had a good laugh13:46
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@lisitsynit is a single hidden layer neural net with some activation13:46
@lisitsynbut it learns only the last layer13:46
@lisitsynthe first layer weights are just random13:47
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Rahul21lisitsyn: Certain things I wanted to ask, since most of the code is written in c++. My first OOP language was Java, so I will have to learn that right ?:P14:02
@lisitsynRahul21: sounds easy then14:02
Rahul21Aye aye captain :)14:04
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@lisitsynRahul21: well I think you are going to understand it pretty well14:06
@lisitsynjust some C++ specific stuff14:06
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nssssandeepHeikoS: hello14:53
nssssandeepHeikoS: is there any documentation for the source code?14:54
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abinashmnssssandeep: Look here http://www.shogun-toolbox.org/doc/en/latest/index.html14:56
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nssssandeepabinashm: thanks14:57
abinashm:)14:57
HeikoS1nssssandeep: hi15:01
nssssandeepHeikoS1: hi15:01
HeikoS1sonne|work: I agree15:01
HeikoS1we should compare against the R package in terms of performance etc15:01
@wikingbo15:10
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HeikoS1wiking: ??15:15
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HeikoS1besser82: why did you delete all the feature branches? just cleaning up?15:22
@besser82HeikoS1, yes... cleaning up...  were not all; only those which have been merged obviously:  ;)15:23
sonne|workHeikoS1: yes please wiki!15:23
HeikoS1besser82: ok cool thanks. Ill re-create the meta language soon though :)15:23
HeikoS1sonne|work: ok then15:24
sonne|workHeikoS1: what happened to the meta language project btw?15:24
@besser82HeikoS1, yes do so...  I removed it, because it was merged somwhen long ago...15:24
HeikoS1sonne|work: it is more or less done15:24
HeikoS1the guy is doing interviews currently so paused a bit15:24
HeikoS1but he will send the big PR soon15:24
HeikoS1its quite ocol15:24
HeikoS1check here15:24
HeikoS1sonne|work: https://github.com/sorig/shogun/tree/prototyping_meta_language/examples/example-generation15:25
HeikoS1sonne|work: adding languages is as easy as adding a new tiny file15:26
HeikoS1pretty awesome15:27
HeikoS1though a bit slow15:27
HeikoS1so we might move to a c-based parser15:27
HeikoS1rather than the python one15:27
HeikoS1python target is define here for example:15:27
HeikoS1https://github.com/sorig/shogun/blob/prototyping_meta_language/examples/example-generation/targets/python.json15:27
HeikoS1we will soon put entrance tasks to translate existing examples into meta language15:28
sonne|workHeikoS1: nice!15:28
HeikoS1its very cool15:28
HeikoS1all examples in all languages !g15:28
@wikingdum dum15:31
@wikingllvm15:31
@wikingthat should be good for anything15:33
@wikingHeikoS1: http://gnuu.org/2009/09/18/writing-your-own-toy-compiler/7/15:33
@wikinghttp://gnuu.org/2009/09/18/writing-your-own-toy-compiler/15:34
@wikingev?15:36
HeikoS1wiking: its all done with the example stuff15:37
HeikoS1wiking: yeah ev15:37
HeikoS1wiking: thoralf did not do it, I shall push him again15:37
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HeikoS1sonne|work: doesnt do it neither15:37
HeikoS1I cannot do it15:37
HeikoS1but there is hope :D15:37
@wikinghahaha15:37
sonne|work:P15:37
@wikingso should i register it here?15:38
abinashmwiking: Hi! am I interrupting?15:45
@wikingno15:45
@wikingwhat's up :15:45
@wiking:)15:45
abinashm:) I was wondering if there was a brief README for shogun-cloud15:45
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@besser82lisitsyn, about SWIG && apple-macro-shiatz...  What shall we do?  Close PR?  I open a new one with that proposed change...17:13
@lisitsynbesser82: asked already17:16
@besser82lisitsyn, I just opened new PR and referenced...  Let's see what will happen...  ^^17:16
@lisitsynbesser82: hmm with that change?17:17
@besser82lisitsyn, yes17:17
@besser82lisitsyn, seperate branch, and just that 3 additional lines in that one file in Lib/17:17
@besser82lisitsyn, https://github.com/swig/swig/pull/33517:18
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@besser82lisitsyn, you can confirm segfaults in py_modular are gone with swig >= 3.0.5, too?17:38
@besser82wiking,   ^17:39
@besser82need to know because of pushing that into fc21...17:40
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@lisitsynbesser82: hmm yeah it segfaults17:48
@besser82lisitsyn, still? \o/17:52
@besser82lisitsyn, dammit!17:53
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@besser82lisitsyn, are there any clues, where the segfault comes from? :(19:05
@besser82lisitsyn, special method / class, whatever?19:05
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@lisitsynbesser82: get globals or so19:48
@lisitsynof python19:48
@besser82lisitsyn, what????19:49
@lisitsynbesser82: Python_GetGlobals + 2319:49
@besser82lisitsyn, from inside of libpython.so?!?19:49
@lisitsynbesser82:    frame #1: 0x000000010060a0dd Python`PyEval_GetGlobals + 2319:50
@lisitsyn    frame #2: 0x00000001005cd575 Python`___lldb_unnamed_function1006$$Python + 94619:50
@lisitsyn    frame #3: 0x00000001005ccc77 Python`___lldb_unnamed_function999$$Python + 5019:50
@lisitsyn    frame #4: 0x000000010180a19f _modshogun.so`init_modshogun + 15919:50
@besser82lisitsyn, mhh...  creepy...  :S20:09
@besser82lisitsyn, but not everything segfaults...  there are tests, that are passing...  :/20:10
@lisitsynbesser82: hmm let me check my swig version20:10
@besser82lisitsyn, and I can import py_mod without segfault:  python -c'from modshogun import *'20:11
@besser82lisitsyn, with swig 3.0.2 it already segfaulted on import...20:11
@lisitsynbesser82: I am on swig 3-0-520:12
@lisitsynfrom github20:12
@besser82me, too ^^20:12
@besser82lisitsyn, but I got the one from fedora-pkg  ;)20:17
@besser82lisitsyn, which is built from gh-tarball20:17
@besser82lisitsyn, so should be perfectly the same20:18
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@besser82lisitsyn, Here is the list of passing tests:  http://ur1.ca/jp1jt20:26
@besser82lisitsyn, the others just blow-up20:27
@besser82lisitsyn, now we need to find the difference between those and the others and we can try to get a fix  :P20:29
@lisitsynhmm20:31
@besser82lisitsyn, any thoughts?20:32
@besser82lisitsyn, let's discuss tomorrow...  I'm fscking tired...20:34
@lisitsynbesser82: sure20:35
@lisitsynping me tomorrow20:35
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@besser82lisitsyn, will do so ^^  during the morning20:37
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--- Log closed Wed Feb 11 00:00:14 2015