Open in new window / Try shogun cloud
--- Log opened Mon Dec 19 00:00:19 2011
15SAAI18Mshogun: Soeren Sonnenburg master * rf4dcb8a / .gitignore : ignore Converter.i - http://git.io/6H18Tw00:23
15SAAI18Mshogun: Soeren Sonnenburg master * r7644ddc / (src/shogun/io/File.cpp src/shogun/io/File.h): add function to read whole file into buffer - http://git.io/lbW7vg00:24
blackburnsonney2k: what did you implement?00:33
blackburna lot of changes, can't catch idea00:33
@sonney2kserialization support for swig -builtin00:33
blackburnpython only?00:34
@sonney2kyes00:35
blackburnsonney2k: I see. why did you focused on it?00:35
@sonney2kI don't understand00:35
@sonney2kwe need serialization support00:36
blackburnwasn't it working before?00:36
@sonney2kso I needed to fix this for the new -builtin00:36
@sonney2kno00:36
blackburnno = wasn't?00:36
@sonney2kwe had it in the old code w/o -builtin00:36
@sonney2kbut that was python00:36
blackburnwhat is the difference?00:36
@sonney2kconverting to -builtin made it no longer work00:36
@sonney2kso I fixed that00:36
blackburnoh okay00:36
@sonney2kstill no buffer protocol support though... too tough...00:37
@sonney2khave to leave the train now00:37
@sonney2kcu00:37
blackburntrain? now?00:38
blackburn:D00:38
@sonney2kRe01:22
blackburnsonney2k: strange time to be in train :)01:23
@sonney2kjust came back from granada...01:23
blackburnhmm thought you came on friday01:24
blackburnsonney2k: can GMNP SVM be considered as state of art still?01:25
@sonney2kin which respect?01:25
@sonney2kit is just a multiclass svm...01:26
blackburnI understand, but I wonder if there is any better formulation (in any means)01:26
@sonney2kone-vs-rest :)01:27
blackburnsonney2k: one-vs-rest is worse on my dataset in means of accuracy01:27
blackburnand performance is awful01:27
blackburnhow can you treat it as better?01:27
@sonney2kusually a lot faster and same perf01:28
blackburnsonney2k: hmm 903 svms are not so fast :)01:28
@sonney2kYMMV01:29
blackburnsure01:29
blackburnI haz no opulence :(01:31
blackburn:D01:31
blackburnsonney2k: have you any experience of random forests?01:32
blackburnI would implement it for shogun some day I guess01:32
blackburnbtw we already haZZ tasks for at least 3 gsoc students01:33
@sonney2kno never did that01:36
@sonney2kI have to sleep now...01:36
@sonney2kbut yes - lots of nice things :)01:37
@sonney2kbtw you should not call your toolbox largescale01:37
@sonney2kpeople associate with largescale petabytes of data01:37
blackburnsonney2k: middlescale?01:38
blackburn:D01:38
@sonney2kso maybe just Dimension Reduction Toolbox and mention that it is fast01:38
blackburnsonney2k: at least our thing doesn't crash on 40000d datasets01:38
blackburnhmm okay01:38
blackburnsonney2k: how do you think can it be called just01:38
@sonney2kbut it will crash on 400000 examples already01:39
blackburnah nevermind01:39
blackburnsonney2k: it is not possible to embed 400000 vectors theoretically :)01:39
@sonney2kit is :)01:40
@sonney2kanyway bed time!01:40
@sonney2kcu01:40
blackburnsonney2k: see you01:40
blackburnbtw shogun failed to compile on my machine01:40
blackburnbut I need to sleep as well01:40
blackburn/home/blackburn/shogun/shogun/src/shogun/regression/svr/LibSVR.cpp:109: undefined reference to `shogun::CKernelMachine::create_new_model(int)'01:40
blackburn/home/blackburn/shogun/shogun/src/shogun/regression/svr/LibSVR.cpp:109: undefined reference to `shogun::CKernelMachine::create_new_model(int)'01:40
blackburn/home/blackburn/shogun/shogun/src/shogun/regression/svr/LibSVR.cpp:109: undefined reference to `shogun::CKernelMachine::create_new_model(int)'01:40
blackburnI said it is not possible cause it is not possible to solve 400000x400000 eigenproblem :)01:43
blackburnespecially dense01:43
blackburnon typical machine01:44
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sonne|workahh great you have that problem now too09:35
sonne|workplease resolve it09:35
sonne|workI cannot trigger that...09:35
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15SAAI18Mshogun: Soeren Sonnenburg master * re787f2d / src/shogun/machine/KernelMachine.cpp : remove 'inline' declaration from .cpp file - http://git.io/FiUeww10:56
15SAAI18Mshogun: Soeren Sonnenburg master * rdaf4856 / (2 files in 2 dirs): fix warnings about nk not being used - http://git.io/M5z9nQ10:56
shogun-buildbotbuild #444 of libshogun is complete: Success [build successful]  Build details are at http://www.shogun-toolbox.org/buildbot/builders/libshogun/builds/44410:59
shogun-buildbotbuild #388 of r_static is complete: Success [build successful]  Build details are at http://www.shogun-toolbox.org/buildbot/builders/r_static/builds/38811:04
shogun-buildbotbuild #392 of octave_static is complete: Success [build successful]  Build details are at http://www.shogun-toolbox.org/buildbot/builders/octave_static/builds/39211:08
sonne|workblackburn, btw what was the issue with java and memory leaks?11:11
shogun-buildbotbuild #380 of python_static is complete: Success [build successful]  Build details are at http://www.shogun-toolbox.org/buildbot/builders/python_static/builds/38011:12
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sonne-workwelcome back CIA-113:56
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ishaanmlhtrblackburn1:2055376946 ,226418,163429943719:28
blackburn1ishaanmlhtr: strange numbers. what is it?19:28
ishaanmlhtrnumber , rows ,cols19:29
blackburn1ehm19:29
blackburn1check if we have used same files19:29
ishaanmlhtrya,checked..train-images.idx3-ubyte - this is what i use..19:29
ishaanmlhtrand i think even  you used the same19:30
blackburn1strange..19:30
ishaanmlhtrwhy did you use '>L' in your unpack format?19:36
blackburn1ishaanmlhtr: it is a format of that file, I guess it is 64/32 issue21:10
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--- Log closed Tue Dec 20 00:00:19 2011