IRC logs of #shogun for Thursday, 2011-06-23

--- Log opened Thu Jun 23 00:00:13 2011
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CIA-32shogun: Soeren Sonnenburg master * r601b796 / (5 files in 5 dirs):00:30
CIA-32shogun: introduce copy() to copy object for numpy arrays - various fixes for00:30
CIA-32shogun: sparse features related typemap - http://bit.ly/jAGMmJ00:30
alesis-noviksonney2k, I wonder if that's a fix for a problem I was having01:18
alesis-novikor rather: if I set the flat on SGMatrix to true, it doesn't work. If I set it to false, it works.01:19
alesis-novikin python-modular that is01:19
alesis-novikin other words:01:22
alesis-novikreturn SGMatrix<float64_t>(cov, m_mean_length, m_mean_length, true); //this doesn't work in python_modular01:22
alesis-novikreturn SGMatrix<float64_t>(cov, m_mean_length, m_mean_length, false); //this does work in python_modular01:22
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splovingsonney2k, are you around?12:44
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blackburnhome sweet home :D14:20
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splovingblackburn115:01
splovingare you around?15:02
blackburn1sploving: yeap15:02
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splovingdistance_canberraword_modular.java:26: cannot apply org.shogun.BaseFeatures15:02
splovingadd_preprocessor(org.shogun.SWIGTYPE_p_shogun__CPreprocessor)  to (org.shogun.SortWordString) feats_train.add_preprocessor(preproc);15:02
splovingblackburn, do you know how to fix that?15:03
blackburneh.. don't understand the error15:04
blackburnwhere can I see that .java source?15:04
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splovingSortWordString preproc = new SortWordString();15:04
splovingpreproc.init(feats_train);15:04
splovingfeats_train.add_preprocessor(preproc);15:04
splovingblackburn, it means that add_preprocess() error15:04
blackburnI see15:05
splovingblackburn, do you know how to test python?15:05
blackburnthat preprocessor works in python15:05
splovingwhen I test it, ./check.sh it said:15:06
splovingrunning classifier_lda_modular.py .. ERROR15:06
splovingrunning classifier_liblinear_modular.py .. ERROR15:06
splovinghow do you test python? blackburn15:06
blackburnjust as you do15:06
splovingbut it said: running regression_svrlight_modular.py .. ERROR15:07
splovinga lot of ERROR15:07
blackburnyes, it is because you have no atlas installed15:07
blackburnsploving: just do 'python distance_canberraword_modular.py'15:08
blackburnpython example works15:08
splovingNo module named shogun.Features15:09
splovingdo I need set Path15:09
splovingin python15:09
blackburnI guess you have not configured shogun for python_modular interface15:10
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blackburnsorry got disconnected again15:16
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awyeah_whois mlsec20:24
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CIA-32shogun: Sergey Lisitsyn master * rbb3f01d / src/libshogun/features/SimpleFeatures.h : Small fixes for SimpleFeatures - http://bit.ly/juRkpa20:43
CIA-32shogun: Sergey Lisitsyn master * rcf70c01 / (5 files in 5 dirs): Merge branch 'master' of github.com:shogun-toolbox/shogun - http://bit.ly/kj0HWt20:43
blackburn1damn!20:43
blackburn1sonney2k: sorry for ^^ merge commit20:44
CIA-32shogun: Sergey Lisitsyn master * r40986cc / src/libshogun/features/SimpleFeatures.h : Merge branch 'master' of https://github.com/shogun-toolbox/shogun - http://bit.ly/l3kAkz20:53
blackburn1damn! what's wrong with me!20:55
CIA-32shogun: Sergey Lisitsyn master * rca09c91 / (3 files in 2 dirs): Fixed LinearHMM - http://bit.ly/m3DgWM21:32
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@sonney2kRe23:06
@sonney2kf-x, around?23:13
f-xsonney2k: here23:14
@sonney2kf-x, I was just reading your patch23:14
@sonney2kdo you want feedback here or in github23:14
@sonney2k?23:15
f-xif it's based on line numbers, github is better23:15
f-xotherwise anything's okay23:15
@sonney2kf-x, well then let me start:23:15
@sonney2kyou should always call the base class' constructor23:16
@sonney2klike CStreamingSimpleFeaturs : CStreamingDotFeatures()23:16
@sonney2klike CStreamingSimpleFeatures::CStreamingSimpleFeatures(args) : CStreamingDotFeatures() { }23:16
@sonney2kthis upon construction constructors up to SGObject will be called (important!)23:17
@sonney2kf-x, another thing: overloaded functions need to be defined virtual23:18
@sonney2klike your set_vector_reader() (is not in CSimpleStreamingFeatures)23:18
f-xsonney2k: okay... will correct them and keep in mind for the future23:19
@sonney2kand btw, I would make the call to set_vector_reader() etc in CStreamingFeatures' constructor only23:19
@sonney2kthis way you don't need to do that from all the simple/etc features classes23:19
f-xthat's more sensible23:20
@sonney2kf-x, btw I like the idea with the vector_reader overloading23:20
@sonney2kthis way you can have the start parser etc all in streamingfeatures...23:21
f-xbut i think things will need to be changed some more.. the parser object cannot be created in streamingfeatures itself23:21
f-xmaybe you're thinking of some other way?23:22
@sonney2kf-x, could you do these above (minor) changes now - such that I can merge them?23:22
f-xsonney2k: 5 minutes23:22
@sonney2kf-x, no rush - I will be awake for some time still23:22
@sonney2kf-x, no but you could also have a start_parser / end_parser pure virtual function in streaming features23:23
@sonney2kbut lets see how things go when you do this for SGD23:24
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@mlsecit's getting late again23:57
@sonney2kf-x, one more change please23:57
@sonney2kmlsec, countdown to midnight23:58
@mlsecbetty: someone mentioned my nick a few minutes ago. who was it?23:58
bettyboomlsec: 10 minutes :)23:58
@mlsecbettyboo: okay. but who was it?!!23:58
bettyboomlsec: i was thinking of doing that anyways, but got us involved in a totally different direction :P23:58
@mlsecokay.23:58
f-xsonney2k: yes? and btw don't merge yet.. rebase thing to be done23:59
@sonney2kf-x, kk23:59
@mlsecnite guys. (maybe someone just typed 'mlsec' for the fun of entering these five letters)23:59
--- Log closed Fri Jun 24 00:00:16 2011

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