gistfile1.txt

[12:43pm] PirosB3: toy/7class_example4_train.light
[12:44pm] PirosB3: just to let you know iglesiasg this issue has not appeared to me any more
[12:44pm] PirosB3: but still, I should not take the issue out
[12:44pm] PirosB3: till someone else tries it
[12:44pm] PirosB3: I have an open pull request https://github.com/shogun-toolbox/shogun/pull/1954
[12:44pm] iglesiasg: PirosB3, I am going to try and reproduce it
[12:44pm] PirosB3: oh great! that would be amazing
[12:44pm] PirosB3: iglesiasg: you have to pull down my branch
[12:45pm] PirosB3: all instructions are on the PR 
[12:45pm] iglesiasg: PirosB3, yeah sure, already did that
[12:45pm] PirosB3: please try to reproduce
[12:45pm] PirosB3: and update the ticket.
[12:45pm] iglesiasg: PirosB3, but I was using a sparse data set I believe so it didn't really work out 
[12:45pm] PirosB3: because iglesiasg I am using virtualized OS, so I just want to make sure it's not my issue
[12:46pm] PirosB3: I am using SparseRealFeatures
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[12:53pm] dhruv13: do i have to make changes in cmake files to use it?
[12:53pm] dhruv13: iglesiasg: do i have to make changes in cmake files to use it?
[12:53pm] iglesiasg: dhruv13, to use what?
[12:54pm] dhruv13: iglesiasg: lib/nanoflann/nanoflann.hpp
[12:57pm] iglesiasg: dhruv13, I don't think so. Although I am not sure, just set it up and write a unit test making use of it
[12:57pm] dhruv13: iglesiasg: okay!
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[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * b7158ec / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/b7158eccd2c1f76529b02a148a0f896c03c84c31
[2:03pm] shogun-notifier-: shogun: initial commit of train_multiclass_svm. Issue #1868
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 97ed25f / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/97ed25f0330e28d59dac43de70993f334b647dd4
[2:03pm] shogun-notifier-: shogun: better indentation and better logging
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * edf652b / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/edf652b1cf60bb06d468a35134b2396162bb01ac
[2:03pm] shogun-notifier-: shogun: more refactor and decoupling
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * acee41f / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/acee41f1cedc28d0f67051ee20020d9093bc6e23
[2:03pm] shogun-notifier-: shogun: decoupling CLI from training. train_multiclass can be reused in the future
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 1bf267e / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/1bf267effaf84bcac9d234f0bc4606208f34f089
[2:03pm] shogun-notifier-: shogun: added new license
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 356d728 / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/356d728b8fe4e06d05b8b53396d3bdda85d629bd
[2:03pm] shogun-notifier-: shogun: added benchmarking for training
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * d335493 / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/d33549306ceac1039889c7b5dbb8983451ab6952
[2:03pm] shogun-notifier-: shogun: added closing statement
[2:03pm] shogun-notifier-: shogun: refactor scripts
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 57511c6 / applications/classification/train_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/57511c6ffe2c0c835d6f7cc8520ffdf9ca27b6ba
[2:03pm] shogun-notifier-: shogun: adding linear kernel option
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 86851c2 / / (7 files): https://github.com/shogun-toolbox/shogun/commit/86851c2817830f9c1a864971531c5cf10742eb62
[2:03pm] shogun-notifier-: shogun: Merge branch 'develop' of https://github.com/shogun-toolbox/shogun into feature/1868
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * f0a94fb / applications/classification/ (2 files): https://github.com/shogun-toolbox/shogun/commit/f0a94fb6c56dee0b6235ab176b063ddc2842b99a
[2:03pm] shogun-notifier-: shogun: renamed evaluate script
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 9af5447 / applications/classification/ (2 files): https://github.com/shogun-toolbox/shogun/commit/9af54475ee5b27f461017f598f11f19b3a895dc3
[2:03pm] shogun-notifier-: shogun: saving and loading from svmlight (no hdf5)
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 9138832 / applications/classification/ (3 files): https://github.com/shogun-toolbox/shogun/commit/91388321605dab7b12e28ca34acbafce558f4ef4
[2:03pm] shogun-notifier-: shogun: Remove unused dependencies and reformat
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * b613d6d / .gitignore,applications/classification/test_multiclass_svm.py: https://github.com/shogun-toolbox/shogun/commit/b613d6d9521ee12dec39236e30dd0118a1c0b987
[2:03pm] shogun-notifier-: shogun: reindent again
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 0f715ac / / (11 files): https://github.com/shogun-toolbox/shogun/commit/0f715acfe3aa90f0a78e9d39a4786720158459ce
[2:03pm] shogun-notifier-: shogun: Merge branch 'develop' of https://github.com/shogun-toolbox/shogun into feature/1868
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 11cd6d8 / .gitignore: https://github.com/shogun-toolbox/shogun/commit/11cd6d8c32e6fa88841df243aab198cc000e4256
[2:03pm] shogun-notifier-: shogun: removed unused ignore folder
[2:03pm] shogun-notifier-: shogun: Daniel Pyrathon :develop * 8b518ad / applications/classification/evaluate_multiclass_labels.py: https://github.com/shogun-toolbox/shogun/commit/8b518ad8ee3f00a6988de9ac8b82e478287ee69e
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[2:15pm] dhruv13: iglesiasg: hey! are you free to review my PR?
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[2:29pm] thoralf: Hey GUIs.
[2:36pm] PirosB3: iglesiasg: great it was merged
[2:36pm] PirosB3: did you manage to see the memory leaks?
[2:59pm] shogun-buildbot_: build #535 of FCRH - libshogun is complete: Failure [failed test]  Build details are at http://buildbot.shogun-toolbox.org/builders/FCRH%20-%20libshogun/builds/535  blamelist: Daniel Pyrathon <pirosb3@gmail.com>, tklein23 <tklein23@users.noreply.github.com>
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[3:14pm] PirosB3: iglesiasg: why is this failing
[3:14pm] PirosB3: heu thoralf
[3:15pm] thoralf: Hey PirosB3
[3:15pm] PirosB3: unit-IsomapTest
[3:16pm] thoralf: PirosB3: It's unlikely that we did it.
[3:17pm] iglesiasg: I think so too
[3:17pm] PirosB3: [----------] Global test environment tear-down
[3:17pm] PirosB3: [==========] 5520 tests from 150 test cases ran. (39822 ms total)
[3:17pm] PirosB3: [  PASSED  ] 5520 tests.
[3:17pm] PirosB3: I just ran latest develop, all looking good
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[3:24pm] wiking: shogun-buildbot_: force build --branch=develop 'FCRH - libshogun'
[3:24pm] shogun-buildbot_: build forced [ETA 23m11s]
[3:24pm] shogun-buildbot_: I'll give a shout when the build finishes
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[3:27pm] sunil1337: lisitsyn: can you please guide me in https://github.com/shogun-toolbox/shogun/issues/1973
[3:27pm] shogun-buildbot_: build #536 of FCRH - libshogun is complete: Success [build successful]  Build details are at http://buildbot.shogun-toolbox.org/builders/FCRH%20-%20libshogun/builds/536
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[3:29pm] sunil1337: lisitsyn: i meant in designing the interface and the batch processing...
[3:32pm] pfm_: does shogun have CRF capabilities?
[3:33pm] wiking: pfm_: well in a way yes
[3:33pm] wiking: pfm_: check out factor graphs
[3:38pm] pfm_: the notebook on factor graphs is not very clear on how one might include the conditional aspect in the model
[3:39pm] wiking: pfm_: afaik the edges of the graph are probabilities
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[3:53pm] pfm_: edges are usually potentials, which become probabilities (sort of) upon normalistion
[3:53pm] pfm_: i haven't implemented a CRF though, so perhaps this factor graph framework is general enough to do it
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[5:17pm] grecocd: Hi. I'm a student who is applying for the GSoC and I'm trying to find an issue I can resolve so I can put in my application. Is there anything in specific that I could work on or do I just keep triaging and pick something myself?
[5:22pm] lisitsyn: grecocd: hey, feel free to do anything you want
[5:22pm] lisitsyn: any kind of contribution is good for that
[5:23pm] grecocd: alright, will do! thanks lisitsyn
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[6:57pm] shogun-buildbot_: build #222 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/222  blamelist: Daniel Pyrathon <pirosb3@gmail.com>, tklein23 <tklein23@users.noreply.github.com>
[6:58pm] PirosB3: yep, it's always my fault
[7:02pm] lisitsyn: what's up
[7:03pm] lisitsyn: PirosB3: I see some 'merge branch ...' commits
[7:04pm] lisitsyn: to avoid that do 'git pull --rebase ...'
[7:04pm] grecocd joined the chat room.
[7:04pm] lisitsyn: so I mean rebase instead of merging
[7:04pm] PirosB3: ok fine, sorry about that
[7:04pm] lisitsyn: no worries
[7:04pm] lisitsyn: it should have been addressed in some of your PRs so we know who to blame 
[7:05pm] PirosB3: lisitsyn: do you suggest me to write my proposal this weekend, so I can post it on the ML?
[7:05pm] lisitsyn: PirosB3: hmm well it is up to you
[7:05pm] PirosB3: ahah ok
[7:06pm] lisitsyn: PirosB3: just be sure to make it before deadline
[7:06pm] PirosB3: sure
[7:06pm] lisitsyn: otherwise should be ok anytime 
[7:06pm] PirosB3: great
[7:06pm] sonney2k: PirosB3, the earlier the better if you want feedback - and note you can submit your proposal already now and update it any time
[7:07pm] PirosB3: oh really? I didn't know that
[7:07pm] PirosB3: ok cool
[7:07pm] PirosB3: thx
[7:08pm] lisitsyn: ah sorry yeah this makes sense if you need any feedback
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[7:31pm] fs_: is it intentional that without eigen3 shogun doesn't compile anymore? at least on my OS X. shogun 3.2.0 compiled fine without it. I just installed eigen3 which resolved the compilation error for a current git clone.
[7:32pm] fs_: can be traced back to a recent change in LogDetEstimator.cpp
[7:32pm] fs_: just curious
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[7:55pm] sunil1337: fs: can you give the exact error?
[7:56pm] sunil1337: fs: when compiling w/o eigen3
[8:03pm] sunil1337: fs_: that would be the case when you have colpack installed but not eigen3
[8:04pm] sonney2k: fs_, not intentional!
[8:04pm] sonney2k: but we need the error to fix it.
[8:05pm] fs_: don't have the exact message anymore, but the first error was in mathematics/linalg/ratapprox/LogDestEstimator.cpp line 52: CLanczosEigenSolver* eig_solver=new CLanczosEigenSolver(op);
[8:05pm] fs_: unknown type name
[8:06pm] fs_: same for class CCGMShiftedFamilySolver
[8:07pm] sunil1337: fs_: okay..... will fix.
[8:07pm] fs_: https://github.com/shogun-toolbox/shogun/commit/d6df009ca735ccfd4cd5cbf51e2f9c6885c622c5
[8:07pm] fs_: that probably broke it
[8:09pm] sunil1337: fs_: not that the lastest one...putting a #ifdef will fix it.. but the enitre constructor won't be available...
[8:10pm] sunil1337: fs_: thanks for pointing out...
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[8:26pm] fs_: sure
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[9:34pm] dhruv13: Good night!!
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[10:05pm] PirosB3: hey guys, I can't find the link to the shogun GSoC template. Does anyone know where it is?
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[10:11pm] PirosB3: the google melange gives me a 404
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[11:19pm] grecocd: Hi, I need help on something. On issue #1944 (https://github.com/shogun-toolbox/shogun/issues/1944), iglesias links an algorithm already implemented from another project (github.com/scikit-learn/scikit-learn/blob/master/sklearn/neighbors/kde.py) to be used as inspiration. Reading this code I see that it uses two different trees that can be used for the nearest neighbor algorithm, k-d tree and ball-tree. How can I implement the KDE with nearest neighbor withou
[11:19pm] grecocd: these trees being implemented in shogun?
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[09:48am] ChanServ: [#shogun] Welcome to #shogun - The official channel of the shogun machine learning toolbox - http://www.shogun-toolbox.org/. We participate in GSoC 2014 http://bit.ly/16LaK5Z. This channel is logged and logs are available from http://bit.ly/eQDk8Q.
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[09:55am] PirosB3: wiking: Hi! did you have a look at the SaaS mailing list?
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[10:58am] wiking: PirosB3: saas mailing list?
[10:58am] wiking: no i have not subscribed to a saas mailing list
[10:58am] PirosB3: mailing list, where I have posted a thread regarding the SaaS
[10:59am] PirosB3: Mark has asked you a couple of questions
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[11:01am] Rho: hi
[11:02am] Rho: what  is the initial contribution that i can  do to work in this project "Dictionary Learning" in GSoC 2014
[11:03am] wiking: PirosB3: mmm i'll try to answer them asap... but you must bare in mind that we all do this for free, i.e. we do have job that we have to do.... so be patient about reviews/answers, we all try our best but again our resources are not dedicated at this very moment to shogun
[11:03am] wiking: Rho: any
[11:03am] wiking: Rho: https://github.com/shogun-toolbox/shogun/issues?labels=entrance&page=1&state=open
[11:03am] wiking: here's like 94 tasks
[11:03am] wiking: choose any of them and try to solve it
[11:04am] wiking: it does not matter that it's not connected with your desired task
[11:04am] Rho: thanks 
[11:04am] wiking: we just want you to get familiar with shogun's codebase and the developing cycle
[11:04am] Rho: that sounds great thanks so much
[11:09am] PirosB3: wiking: I perfectly understand this, as my idea is not really part of the ideas list, it is my responsibility to make sure mentors agree with it and it is in line with everyone's general expectations. For this reason I am trying to get everyone to review my proposal. Anyways I'm skyping with Mark soon, and we will come back with a roadmap and deliverables
[11:12am] wiking: PirosB3: i cannot stress it enough
[11:12am] wiking: that my opinion is that you should try to solve more entrance issues
[11:13am] wiking: as it's all good that you have something sketched up with Mark
[11:14am] wiking: but Mark can be only an external mentor in this story and you really should first convince shogun developer team that you do have the right skills for this task. as in fact shogun developer team will decide whether this project will go or not...
[11:15am] wiking: and the only way to do this, i.e. convince the developer team is actually solve more entrance issues
[11:15am] wiking: i dont know if i made my self clear here
[11:18am] PirosB3: clear enough. I should focus more on entrance tasks
[11:19am] wiking: indeed
[11:19am] wiking: you should have ...
[11:19am] wiking: and you should
[11:20am] wiking: although i really like the whole way of how this task has been built up from the beginning
[11:20am] wiking: and it's great that we get an external mentor for this task and he is very entusiastic about the project as well
[11:20am] wiking: but still, we need to be able to see your skills
[11:20am] wiking: and the only way we can evaluate that is via entrance tasks
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[11:24am] PirosB3: I have done 1 task up till now, will be doing more
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[12:41pm] dhruv13: lisitsyn: Hey! Are you free to answer a question regarding CKNN?
[12:41pm] lisitsyn: dhruv13: hey, yeah
[12:42pm] dhruv13: lisitsyn: the train_machine(data) function sets the data and query set as the same (ie. lhs = rhs), why is that?
[12:42pm] dhruv13: lisitsyn: shouldn't the user be free to choose the query set?
[12:43pm] lisitsyn: dhruv13: it is perfect ok to do that once you need to really do anything with the query set
[12:43pm] lisitsyn: but as training would need distances between training set and training set
[12:43pm] lisitsyn: lhs gets equal to rhs
[12:44pm] dhruv13: lisitsyn: okay, so it's basically for convenience with the distance functions right?
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[12:44pm] lisitsyn: not really about convenience
[12:44pm] lisitsyn: we'd have to have lhs==rhs when we train
[12:44pm] dhruv13: lisitsyn: but there is no (apparent) way to change the query set, since the distance member is protected
[12:45pm] lisitsyn: you can get distance with getter though 
[12:46pm] lisitsyn: dhruv13: when you do apply
[12:46pm] lisitsyn: it changes rhs
[12:46pm] lisitsyn: to the query set
[12:47pm] dhruv13: lisitsyn: oh, sorry for the confusion!
[12:47pm] lisitsyn: dhruv13: no problem
[12:47pm] lisitsyn: I remember I had 'what the heck' thoughts on that before
[12:47pm] lisitsyn:
[12:47pm] dhruv13: lisitsyn: totally missed that part!! 
[12:48pm] dhruv13: lisitsyn: ha ha
[12:48pm] dhruv13: lisitsyn: a lot of the code makes sense now, especially the ASSERT(m_k<=num_labels)
[12:49pm] dhruv13: lisitsyn: whew!
[12:49pm] lisitsyn: heh
[12:54pm] dhruv13: lisitsyn: wait, line 167 here :https://github.com/shogun-toolbox/shogun/blob/develop/src/shogun/multiclass/KNN.cpp
[12:55pm] dhruv13: lisitsyn: still doesn't make sense, shouldn't it be rhs?
[12:55pm] lisitsyn: dhruv13: that's correct as you find neighbors among the training set
[12:56pm] dhruv13: lisitsyn: right! sorry again, i'm just panicked because i'm getting weird errors...
[12:57pm] lisitsyn: heh
[12:57pm] lisitsyn: no worries
[1:05pm] dhruv13: lisitsyn: last clarification, line 340, m_k should be <= distance->get_num_vec_lhs()
[1:05pm] lisitsyn: but that's the same assert 
[1:06pm] dhruv13: it is right now <= num_rhs
[1:06pm] lisitsyn: ahh
[1:07pm] lisitsyn: looks like a bug
[1:07pm] dhruv13: lisitsyn: yeah
[1:07pm] dhruv13: lisitsyn: that was causing problems
[1:07pm] dhruv13: lisitsyn: thanks a lot!
[1:07pm] lisitsyn: you're welcome
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