| --- Log opened Mon Jul 14 00:00:14 2014 | ||
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| shogun-buildbot | build #746 of nightly_all is complete: Failure [failed compile test] Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_all/builds/746 blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>, Wu Lin <yorker.lin@gmail.com>, Fernando Iglesias <fernando.iglesiasg@gmail.com>, Parijat Mazumdar <mazumdarparijat@gmail.com> | 03:05 |
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| shogun-buildbot | build #850 of nightly_default is complete: Failure [failed compile] Build details are at http://buildbot.shogun-toolbox.org/builders/nightly_default/builds/850 blamelist: Heiko Strathmann <heiko.strathmann@gmail.com>, Wu Lin <yorker.lin@gmail.com>, Fernando Iglesias <fernando.iglesiasg@gmail.com>, Parijat Mazumdar <mazumdarparijat@gmail.com> | 03:08 |
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| testing_ | Quick shogun question for devlopers.... If I'm tring to pull the discriminant values out of a linear machine like SVMOcas, instead of the predicted lables... is this possible? I assume I'm missing something | 06:13 |
| testing_ | Thanks in advance! | 06:13 |
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| shogun-notifier- | shogun: hushell :develop * 36d3d73 / / (18 files): https://github.com/shogun-toolbox/shogun/commit/36d3d7354f5951fd2a9b87c90fef21eb51a17896 | 11:14 |
| shogun-notifier- | shogun: CMosek added variable bounds | 11:14 |
| shogun-notifier- | shogun: Fernando Iglesias :develop * a4f8788 / / (18 files): https://github.com/shogun-toolbox/shogun/commit/a4f878852e0945c7448bc413d3cacd7a1c53e513 | 11:14 |
| shogun-notifier- | shogun: Merge pull request #2372 from hushell/dev | 11:14 |
| shogun-notifier- | shogun: | 11:14 |
| shogun-notifier- | shogun: CMosek added variable bounds | 11:14 |
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| shogun-buildbot | build #2412 of deb3 - modular_interfaces is complete: Failure [failed python modular] Build details are at http://buildbot.shogun-toolbox.org/builders/deb3%20-%20modular_interfaces/builds/2412 blamelist: hushell <dom343@gmail.com>, Fernando Iglesias <fernando.iglesiasg@gmail.com> | 11:31 |
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| travis-ci | [travis-ci] it's Fernando Iglesias's turn to pay the next round of drinks for the massacre he caused in shogun-toolbox/shogun: http://travis-ci.org/shogun-toolbox/shogun/builds/29870982 | 12:18 |
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| shogun-notifier- | shogun-demo: Saurabh :master * dab45e4 / templates/regression/gaussian_process.html: https://github.com/shogun-toolbox/shogun-demo/commit/dab45e4cbf989a7b8841c86e9a90fc3c65f99654 | 14:53 |
| shogun-notifier- | shogun-demo: minor fix predictive | 14:53 |
| shogun-notifier- | shogun-demo: Saurabh :master * 99be28e / demos/regression/gp.py,templates/regression/gaussian_process.html: https://github.com/shogun-toolbox/shogun-demo/commit/99be28e7b3cd6fb73b82e182ba2115776f43da30 | 14:53 |
| shogun-notifier- | shogun-demo: fix some errors in GP Regression | 14:53 |
| shogun-notifier- | shogun-demo: Heiko Strathmann :master * d914473 / demos/regression/gp.py,templates/regression/gaussian_process.html: https://github.com/shogun-toolbox/shogun-demo/commit/d914473ceda352bdee858753717ba1d52da66217 | 14:53 |
| shogun-notifier- | shogun-demo: Merge pull request #55 from Saurabh7/master | 14:53 |
| shogun-notifier- | shogun-demo: | 14:53 |
| shogun-notifier- | shogun-demo: Some fixes for GP regression | 14:53 |
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| testing_ | Hi is anyone avaible to answer a quick general shogun question? | 19:32 |
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| @wiking | testing_: as | 19:46 |
| @wiking | ask | 19:46 |
| testing_ | hi thanks | 19:49 |
| testing_ | how can I get() the discriminant values instead of the predicted lables from a machine | 19:50 |
| @wiking | code plz | 19:51 |
| testing_ | example svm.apply() ---> BinaryLables | 19:52 |
| testing_ | however, say I'm using SVMOcas and I was the discriminant values and NOT the predicted lables | 19:53 |
| testing_ | have a look at libsvmocas | 19:53 |
| testing_ | linclassif using -t option in original code | 19:54 |
| testing_ | basically I want the raw output vector | 19:54 |
| testing_ | not the predicted lables | 19:54 |
| testing_ | thoughts? | 19:55 |
| @wiking | raw output vector of what? | 19:55 |
| @wiking | of BinaryLabels? | 19:55 |
| testing_ | of a forward pass of the SVM... so if that is stored in BinaryLabels somewhere then yes | 19:56 |
| @wiking | you mean the value of | 19:56 |
| @wiking | dot(w, v_i) in case of a linear kernel? :) | 19:57 |
| testing_ | yes I think we are on the same page | 19:57 |
| testing_ | doesn't seem to have a get method but I assume I'm missing something obvious | 19:57 |
| @wiking | BinaryLabels::get_values() should return you the vector | 19:58 |
| @wiking | testing_: i guess till now you were calling BinaryLabels::get_labels() or?\ | 19:58 |
| testing_ | what threw me off was this... | 19:58 |
| testing_ | in the docu it says get confidence vector | 20:00 |
| testing_ | it may be just different terminology across different solvers and paper | 20:00 |
| testing_ | papers** | 20:01 |
| @wiking | what papers? | 20:02 |
| testing_ | academic | 20:02 |
| @wiking | which ones? | 20:03 |
| testing_ | look at libocas | 20:03 |
| testing_ | check the -t option under help of your compiled library outside of shogun | 20:05 |
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| testing_ | I think in shogun is confidence vector == dot(w, v_i) == discriminant values then I am good to go and you have answered my question | 20:08 |
| testing_ | I was sort of alarmed as the get_values() doesn't appear to be the dot(w, v_i) from svmocas.... but then again I'm brand new with the packages and it may be due to how I'm wrangling my data | 20:10 |
| testing_ | initially | 20:10 |
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| testing_ | does shogun sparse "understand/same as" any of the scipy sparse? modularpython scipy.sparse matrix ---> into SparseRealFeatures... csr_matrix() or coo_matrix sparse types | 22:14 |
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| --- Log closed Tue Jul 15 00:00:15 2014 | ||
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