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--- Log opened Tue Nov 22 00:00:26 2016
@sukeyPull Request #3561 "adding GA tracker to cookbooks"  opened by sperka - https://github.com/shogun-toolbox/shogun/pull/356101:02
@sukeyPull Request #3282 "cookbook - CARTree -  classification tree"  synchronized by OXPHOS - https://github.com/shogun-toolbox/shogun/pull/328205:22
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@sukeyPull Request #3561 "adding GA tracker to cookbooks" - https://github.com/shogun-toolbox/shogun/pull/356105:40
@sukeyPull Request #3534 "LinalgRefactor - Cholesky"  synchronized by OXPHOS - https://github.com/shogun-toolbox/shogun/pull/353406:56
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sonne|workCaBa: I indeed had that once when the combination of training an SVM with 5 kernels only one kernel was implemented correctly at first. So once the others were fixed we had sth like that as relative improvement :D10:18
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@sukeyPull Request #3282 "cookbook - CARTree -  classification tree"  merged by karlnapf - https://github.com/shogun-toolbox/shogun/pull/328212:00
@sukeyNew Commit "Merge pull request #3282 from OXPHOS/cookbook_cartree12:00
@sukeycookbook - CARTree -  classification tree" to shogun-toolbox/shogun by karlnapf: https://github.com/shogun-toolbox/shogun/commit/18204b22ef38ae44da59d2955c6069e927a0b9a212:00
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CaBasonne|work: ... still waiting for that kind of patch ;)14:20
sonne|workwell you are your own boss :P14:29
CaBa.oO( { return 0.97; } )14:39
sonne|workCaBa: heh in my experience you normally get worse results if you make mistakes... except when your evaluation code is returning 0.97 of course :D15:01
CaBasonne|work: yes, that was going to go into evaluateMethod() ;)15:17
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HeikoS1wiking: https://keras.io/backend/16:38
HeikoS1lisitsyn: ^16:38
lisitsynHeikoS1: we use keras16:39
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@sukeyPull Request #3561 "adding GA tracker to cookbooks"  merged by karlnapf - https://github.com/shogun-toolbox/shogun/pull/356117:38
@sukeyNew Commit "Merge pull request #3561 from sperka/ga-tracking-develop17:38
@sukeyadding GA tracker to cookbooks" to shogun-toolbox/shogun by karlnapf: https://github.com/shogun-toolbox/shogun/commit/5e057f9b6d7f9b150f12161c02e8c4097a00855e17:38
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protinoHi. i was trying to start contributing by porting distance_cosine_modular.py to meta_example. I found the process trivial as most of code in .rst and .sg matched with already present eucliden.rst and euclidean.sg. Am i doing correctly ?20:12
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--- Log closed Wed Nov 23 00:00:27 2016