[Debian-med-packaging] Brocken Git archive libshark (Was: [libshark] branch upstream created (now 260213b))
Andreas Tille
andreas at an3as.eu
Mon Feb 9 08:37:36 UTC 2015
Hi Goswin,
I tried to clone the repository recently commited by you:
$ gbp-clone git://git.debian.org/git/debian-med/libshark.git
warning: remote HEAD refers to nonexistent ref, unable to checkout.
Branch upstream set up to track remote branch upstream from origin.
error: pathspec 'master' did not match any file(s) known to git.
gbp:error: Couldn't run git checkout: git returned 1
I wonder what might went wrong here
Andreas.
On Fri, Feb 06, 2015 at 11:55:47AM +0000, Goswin von Brederlow wrote:
> This is an automated email from the git hooks/post-receive script.
>
> goswin-guest pushed a change to branch upstream
> in repository libshark.
>
> at 260213b removed old csv interface, killed warning in IHR?
>
> This branch includes the following new commits:
>
> new 4bcefd7 Moved actual library to trunk.
> new fccf3de new solver structure for the Crammer&Singer SVM
> new ceedcd9 new multi-class SVMs up and running!
> new 35af980 Added alternative ctor that can consider only a subset of columns of the input data. re-committed b/c of new repo path.
> new e12f6af git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@587 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 897a669 ASSERT macro fixed (puh!)
> new df4d3af current libsvm versions also support multi-class files: small update to libsvm saver
> new 78b5d44 also update libsvm saver from 0-based to 1-based class and feature indices
> new 7828325 added loadLIBSVM, and updated SaveLIBSVM for consistency
> new 1ed23cd Various Dataset constructors converted into Create... methods
> new 2b97c04 Dataset syntax updated in all ReClaM tutorials
> new 53a7128 minor adaptations to new constructor layout, and 2 small label conversion utilities
> new 217a6af Fixed one of the ugliest bugs ever, of course, related to shrinking in multi-class SVM training. puh...
> new 6e4b50f git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@599 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 99d1cc2 tiny adjustments, for overall consistency of dataset handling
> new 9d8dfab git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@601 f06a09e3-3943-0410-8714-a4bb87ba143f
> new df9ce32 fixed a bug in CMACMap
> new 30e804f fixed the derivative of AffineLinearFunction
> new eb3377f new dataset interface
> new 14652ed bit fancier
> new 3fabfeb for music paper
> new 50dd2b6 fixed a tiny bug in libsvm-reader
> new 56a0abb bug fixed in QuadraticProgram - finally!
> new bb0b5e7 fixed again derivatives of linear Models. Didn't work for more than 1 output
> new a4d0279 changed libname from Shark to shark
> new 4df190b Reverted changes to CMakeFiles.
> new 72a3a30 outputDimension = target.dim(1); needed for derived classes
> new a1ade6f for ESANN paper
> new d69827d new Dataset class, not tested
> new 2f2140a [Shark trunk] Preparations and corrections for inclusion in debian.
> new ee9cb48 FIXED: Compile-bug in CrossEntropy.
> new 37a5b67 beta version of epoch-based crammer-singer solver
> new 3807fa3 [Shark] REMOVED: XML parser with incompatible license. REMOVED: Debian block in copyright statement.
> new 1b96801 [Shark] Fixed copyright issues.
> new 36b626c Why are the QWT people change their API more frequently than Felix Magath the team lineup?
> new a3280b5 new g++ smiles again
> new bbb0b82 added an example for FisherLDA
> new bdfa656 [Shark] FIXED: Bug in RMMEDA unit test. FIXED: Renamed method rank to sym_rank in order to avoid name clashes with std::tr1::rank.
> new 431beaa git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@664 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 083f662 [QuadraticProgram] Removed reference to std::tr1::unordered_set.
> new 5f99b73 SVMregression example repaired
> new e071763 fixed derivative of Softmax - the derivative should not be input(j)*t but input(i)*t
> new 28dfdf4 fixed ROC crashes.
> new 615bf50 skeleton for multi class svm approximation
> new 4d4ebf9 changes for multi-class svm approximation
> new 2463e61 removed "false" parameter in resize after warning on Linux
> new 9848f01 error function for McSvmApproximation
> new 8d88b6c minor changes in FisherLDA
> new 2030717 changes for McSvmApproximation
> new abdefe7 McSvmApproximation
> new cd630e6 also add a flush after each verbosity-2 output
> new 4fac1d8 index shift
> new 5c6786a numerical problems in QP solver fixed
> new e5daf72 bugfix die Zweite
> new 86a41a2 true positive rate added
> new c195bab git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@774 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 2010fc2 - split all solvers into sub-files: QuadraticProgram.h now only includes all solver headers - added sparse kernel function (which owns its own sparse data) - added Utilities file, including SvmStatesCollection which can be used to i.e. later examine intermediate solver/svm states - further modifications of the ebcs machine
> new 5ea4e1d forgot to remove now-oblivious QuadraticProgram.cpp
> new 871fc05 added documentation
> new a43933d git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@793 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 6277293 implemented ci's suggestion: remove stochastic component in cicl-target-noof-hits determination
> new 181e1e8 balanced sampling for multiple classes
> new b472197 balanced sampling for multiple classes
> new d186fe0 - added some overdue ignores - made an attempt in windows cross-compatibility - fixed dynamic allocation for SvmStatesCollection
> new d0c757e git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@829 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 78fdc9f conversion to one hot
> new 284bd7c typos in doxygen
> new 7304ab7 corrected typos
> new 4697eac a second attempt in win-compatibility
> new 64f9599 finalized the wall-clock timer cross-platform issue
> new d7f7559 Preparations for bugfix release 2.3.3.
> new 82c9cd4 [Shark2] Reworked the CMake setup.
> new b59849c [Shark2] REMOVED: Old cmake directory.
> new e7777db [Shark2] FIXED: Cleaned up the whole shark cmake setup.
> new 54fe796 [Shark2] ADDED: #define NOMINMAX to prevent generation of min and max macros polluting the global namespace on windows.
> new 56eb3bc small fix for documentation parser
> new ce85315 [Utilities] FIXED: Compilation error for wall-clock timer under Mac OSX.
> new 921d5b2 small fix for documentation parser
> new 08312dd fixed my editor going whitespace-rampage
> new bce9082 added ignores for example executables now generated in new place
> new ea67d92 [Utilities] Fixed preprocessor macros
> new 5763602 [Utilities.h] Mac OSX does not support cstdint, switched to stdint.h.
> new 1450c40 [Shark2] FIXED: rt is not required on osx.
> new 518c0eb [Shark2] UNIX AND NOT APPLE.
> new 6e4fd6d [Shark 2.3.4] Adjusted patch version in CMakeLists.txt
> new eaf600f 1 -> old tiny change for corrupt libsvm format as e.g. present in lasvm data 2 -> modified qt classification example to allow for true svg output (except the boundary and margin, ask for inkscape cookbook per mail if needed)
> new c02b447 - incorporated jan's copy constructor and = operator - added some ignores
> new 5073459 [Shark 2]FIXED: crowdedDistance now calls crowdingDistance internally.
> new 2629727 messy code backup of mulit-class svm approximation (not working yet)
> new 047c08f much cleaner code for multi-class svm approximation (still not working)
> new 82cbb5b added a few ignores
> new 548e3d9 small bugfix for McSvm operator=, found and requested by the RTCV group
> new 0678834 Fixed an issue with the overmars-yap hanging in certain corner-cases.
> new 0cd2d9e added new qt flag
> new 72115fd fixed compilation issues with gcc 4.7.0 also fixed bugid 3554077
> new e30815e moved trunk to tags and removed outdated shark2 version
> new f90dd81 moved batch branch to trunk
> new 305e111 up
> new e5cbe4b renamed split again to splitAtElement
> new f2cc115 tiny docs
> new 184e192 up
> new e20f882 output compiler
> new bc3bd84 CI first reading
> new 2580755 up
> new 20e8ee6 up
> new c024630 up
> new ab8d6f3 up
> new f4ab2b8 up
> new 54a798a revised, CI
> new b1eb758 up
> new 7f3e8fd up
> new 46346b7 up
> new 32affa6 bug in linear SVM solver fixed, THANKS, OSWIN!!!
> new 393b8ea removed unused typedef
> new dd96f69 small updates
> new 95291fa up
> new 79f83cb up
> new 8167bf4 small revision of tutorial text
> new dddd39c updated data interface
> new fd13f36 up
> new 46d27c6 fixd dumb bug.
> new 49777d4 restructured tutorials
> new babee57 fixd intentation
> new 6f134d2 tried to remove todos
> new b5bf3ec git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@2612 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 927f03c - small typos - enable use of conf.py.in with python3
> new 96cc825 RBM-Doku
> new 8294c6f up
> new 1216a63 error corrected and RBM-doku
> new 823bfb3 RBM-doku
> new c29a2d7 stray characters removed
> new 806576c removed doxylink as contributed software, now leaving its installation as responsibility to the user. updated docs accordingly. cleaned up conf.py.in.
> new d600574 hopfully fixd pca bug
> new 7efc12f forgot lines in CMakeLists.txt
> new 3576092 RBM-DOKU
> new dc11204 https -> svn
> new dea69b7 RBM-DOKU
> new 9338ece fixed PCA and addd a new test case
> new d8f4ee4 fixed bug in CART trainer, I asked Kasper to check it
> new 623fe1d sucssfully updated the first part of the dataset tutorial
> new ad890aa changed https to svn
> new 7946840 doku
> new 0b91018 up
> new 42fb44c tiny revision
> new 8a15bb9 reordered CMakeLists.txt a bit and splittet into tree parts
> new 2f693c9 link corrected
> new 477dd02 removed dataset constructor, added free function instead
> new 7e2c358 Data distribution split into supervised and unsupervised cases, one class SVM example added.
> new ee4923e fixed clustering bug
> new fd804f7 forgot one file, sorry!
> new 0c18c97 fixed a small bug in splitAtElement and got serialization to work
> new 98b659c updated documentation
> new a145d90 further cleanup of data docs
> new 8e5d65e updated elm tutorial
> new 3b0dac8 bug corrected, derivative threshhold was missing an entry for the regularization parameter
> new ee6161d changed LibSVM Test a bitbefore new parser is integrated
> new 4c19738 adjusted for new datset interface (hopefully correctly)
> new dcd80ad updatd Libsvm parser and fixed a bug regarding dense vector proxies
> new cb38cc1 fixed problem that sparse matrix rows are always copied when arguments for kernel::eval. huge speedup for sparse-SVMs
> new 3c39d71 better parameter check
> new a9091e0 comments only
> new cea44ce Network component moved and replaced. This is still a stub, not nearly operational. Hang on :)
> new 3503889 changed problematic output from examples to cout also other small fixes
> new 8493c03 fixd bug regarding swap of elements
> new 57a8429 just another stub
> new a2206b7 web server component moved (again)
> new 798501d small fix for clang 3.1
> new 2aec901 updated shark packaging for cmake
> new f8eaee0 fixed small bug in cmake file
> new 668597d tested basic kernel matrices
> new 35e4f91 fixed compile error on some compiler
> new 01103b5 enabld multithreadd error functions...yay
> new faca00f small improvements of documentation
> new 36b9bdb typos corrected
> new 13b0daf fixed compile error and a few warning on MSVC
> new 2c3ce49 fixed small configuration bug in FisherLDA
> new 1dcad3e fixed OpenMP on MSVC10
> new dfef320 up
> new a8d1852 incorporated better box constraint handling mechanism and cleand up DirectSearch a bit
> new d5d7ab9 : -> ::
> new efe9ce2 forgot a file
> new fb45f6c added softMembership to LinearClassifier
> new ad89815 comments updated
> new 8c66990 new tutorial on how to write a kernel function
> new 4e70f7f typos corrected
> new 964ce6d made a function "const"
> new 1312d5e up
> new 8645ab8 applied small optimisation to the kernel matrix such that we now use the direct iterators to the elements instead of the dataset iterators. good improvement in performance as a result
> new 3d069da fixed Bug in Matrix-Proxy and Benchmark test
> new 319325b typos
> new 35ae03e preliminary version of LASSO regression, still will compile errors, don't add to build system yet!
> new 2501ce3 fixed compile error in Lasso
> new b8b6e36 LASSO regression, now fully operational. And lightning fast :)
> new 3bac87e allowed parsing class labels 1.0000 for LibSVM import
> new 6ee05a2 corrected size() and element() for batch
> new 76418e9 corrected size() and element() for batch
> new 529cfcf added svn protocol
> new 1626848 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@2688 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 6f191ec RBM-Doki
> new f48db84 RBM-Doku
> new 2fda144 slight changes to LRUCache
> new 2dfe584 wrote tutorial about writing objective functions, took the chance to chang the interface again. should be working. also update objective function tutorial
> new ee9c8a1 rm errors/warnings under Ubuntu
> new d2b6c66 moved slow to compile libsvm importer in library
> new 4a56296 experimentation with failing unit test
> new 27654b5 included LBFGS Algorithm
> new f972c55 included LBFGS Algorithm
> new 8b30c5f fixed broken build
> new 548a27e corrected \file
> new a327f8b updated bounds
> new 45a7e3a editorial changes to the excellent tutorials
> new 307ac9d editorial changes
> new d7a6884 LOTS of changes, due to (*) new default implementations of interface functions, (*) changed INameable::name interface Testing done: everything compiles in debug and release and no (new) unit tests fail.
> new 2aab85b up
> new b711cf1 removed some warnings under Ubuntu / init order, size_t
> new ab88270 test writes number of iterations
> new 52024a1 up
> new 2b85ad9 corrected docu rangedSubset(...)
> new 38ff647 distance -> distanceSqr
> new a29b90a merged the new binary svm solver
> new 21fa86e changes in file headers only
> new 33ca6d8 nothing serious :)
> new 0a69865 tree nearest neighbors bug fixed
> new e868714 must be tested, documented, etc.
> new cb4ba1c was double
> new dee8614 repaired
> new eee97aa corrected wrong initial ifndef
> new 23f0e2d fixed ugly bug in KMeans
> new 8ec834f fixed warning in new Svm solver
> new 7020eba tested CachedMatrix and found a small bug :(
> new 5398e62 partially fixed performance issue in LinearModel with sparse arguments. it is now working for the McSvm-Case (dense output, sparse input)
> new cff2968 kernel regression unit test improved and split into epsilon-SVM-trainer and regularization-network; added unit test for one-class-SVM
> new 85f40b5 imcomplete xNES implementation removed
> new 7c05f3a typo
> new 3e9c9cf removed resize()
> new 1d03a13 fix provided by Craig Brown
> new 0f681af changes in comments only
> new 5e573d9 changes mostly in comments only; criterium -> criterion
> new 98528e5 imported ublas to shark and removed most of it's features
> new 5233afa sorry :(
> new e543954 altered the svm solver another time
> new bcf1d7f quick fix for multi-class trainers; disabled shrinking for "max-loss" machines.
> new 8598934 hacked in support for different regularization parameters
> new 92c7265 changed order of regularization parameters...
> new 4689516 reworked diagonal matrix
> new 20132b3 changed shrinking another time
> new 65d19c6 fixed an error and warning in debug mode
> new 9fdfe05 fixed two more warnings
> new f6048d1 fixed a LOT of warnings in ublas
> new 74922f3 fixed last ublas warnings
> new 0345529 removed another 3400 lines of ublas code
> new 55e71f9 another intermediate step
> new 860fca4 - improved docs - svnignore
> new c26ccfe fixed small bug in Dataset
> new 0b6e3eb deafault name added
> new 1fd3605 fixed a small bug in the libsvm import and added a bit of parallelization
> new 63efe17 added missing include statement
> new b5a407a various cleanup
> new c79d877 fixed compile error
> new f867420 checked for and removed warnings on MSVC 10
> new 6d72aa1 rewrote parts of the RBM package
> new 61aff46 added .gitignore for git users
> new 2f28d37 The netlib dependendy should now be obsolete.
> new 05b12f9 added some preliminary documentation
> new 32be625 generic "archive" wrapper for objective functions added
> new 999c4d0 fixed and reactivated the TSP example program
> new eaecebf First step towards including example code in tutorials. The tut2rst program does the macro replacement. The nearestNeighbor.tut contains the new tutorial source. KNNTutorial.cpp contains new marker comments.
> new 6476a91 up
> new 3010e91 typo fixed
> new 18d7cf2 improved computation time for dense vectors
> new ddc990d added new dense kernel optimization
> new 69f22ac added new functionality to C-Svms
> new 0e88399 small speed improvement of jaakkolla heuristic in th sparse hack. it's hacky though
> new b516794 Added Sørens algorithmic improvements
> new 21fe9e3 hopefully fixed an error in C++11
> new 33b86f1 removed temporary files
> new e5acff3 added AE tutorial, still needs review
> new 2ec56ce up
> new 9006460 small update of tutorial
> new 1d17df3 size_t
> new f802244 made output directory same as directory of the binary
> new f41226e revision, e.g., added transformation functions
> new acaf640 typos corrected, bug #70 fixed
> new 2cb8dae typo in parameter description
> new 560038d up
> new ff8b97f add possibility to modify the linear part of an svm solution
> new b71c193 sorry for compile error...cleaned up my mess. also fixed small error in nw example
> new d783b0a fixed error in example
> new 9b8ca98 fixed an error introduced by the change of the line search behavior
> new d00025a fixed Loo error. sorry
> new f75dffb added special case for rank deficieent SVM problems
> new dd029a1 Fix Trainers_NBClassifier test failure
> new d753c8c RBM Doku
> new d8b921e fixed shuffle on VC08
> new e708810 added squared hinge loss C-SVM and an alternative way to compute the bias
> new 6deab6a fixed a small interface error in the distributions
> new 8aaf28d fixed bug in hello world tutorial
> new c425848 typo
> new 3dc27f5 updated cross-validation
> new e5c2f77 small fixes, mostly releated to documentation
> new e6d965e added automatic code snippet inclusion to documentation
> new 8b62185 some fuckups with git...
> new e451a87 ported the first_steps tutorials to the new system
> new 6d24621 ported tutorial code as well
> new f639794 filename as option
> new 5074d4a some fixes, started working on tutorials (little progress)
> new 323dcee doxy
> new 095785d fixed link to general optimization task tutorial
> new 5652c41 bla
> new bc152db fixed stupid bug in CMA
> new d189fe7 fixed stupid bug in CMA
> new e6ef56d updates of the tutorials, work in progress
> new cdb4de0 updates, read files via command line, prepared for new tutorial system
> new 4db2b27 ported some more tutorials
> new 893562c typo
> new 7a90be0 typos
> new 1d4b107 typo
> new 08be17c RBM doku
> new 8a1bf94 up
> new 76c6fb0 atlas headers
> new 9b884fa mark_as_advanced
> new bcb804b command added for including whole source files
> new 3508b94 typo in comment
> new ce1229f fixed out of source builds for doc
> new ed146a8 started to rewrite linalg tutorial and fixed lda
> new eedfe17 svnignore for new tut2rst, and some small corrections to tutorial and sphinx config
> new 5b66fd0 added boost dirs to top level
> new 7da97f2 commented message out
> new 85cc5a5 web server tutorial stub added
> new 847a545 various improvements to the linAlg tutorial
> new dac1794 renamed tutorials .cpp->.tpp and automatically strip the tags from them with a conversion tpp->cpp#
> new ac747d7 fixed a problem with broken ;
> new 0744a98 fixd problems with regenerated examples after cmake run
> new a5a9f5a updated .gitignore
> new 3e9cc79 hopefully fixed the problem with shuffle
> new 816f51d adapted filenames to point to the new examples
> new 4fa5256 fixed tut2rst such that cmake now fails when the run was not successful
> new 0e80031 updated elm tutorial
> new 0f56eab updated ffnet tutorial
> new deeecc6 fixed broken cma tut
> new 6934e5e syntax error fixed
> new 0cabda0 multi-task learning example added, still buggy
> new 38ae85a some preliminary bug fixed, need to convert to MultiTaskKernel to batch interface
> new 7e2c1ae ported and updated CART tutorial
> new 946e5ce updated pca tutorial
> new 4d27da4 fixd bugs in MultiTaskKernel
> new d537b52 ported kmeans and rf tutorial
> new f73dcb9 ported svm tutorial
> new cad8b2a ported CSVMGridSearchTutorial
> new 851e5ac ported Sparse Autoencoder tutorial
> new 1975c25 just renamed the rbm module as it does not contain any code
> new 71a8bd2 // we should move to Boost.Signals2 #define BOOST_SIGNALS_NO_DEPRECATION_WARNING 1
> new 9c22549 small cosmetic changes
> new cdf045c fixed case for svmProblems that for the subproblem of the workingset the second derivative was numerically 0
> new b94c587 added new McSVM solver for box constrained svms (split from the big one)
> new 5bb3373 added temporary fix for boxconstrained SVM problems
> new 4f8c946 various fixes
> new 435ee01 added /opt/local hint for ATLAS
> new 40c0064 fixed various bugs in nearly unused shark code
> new 0705227 changed naming scheme of variables in the trainer to match the standard m_ scheme
> new f3e17f3 unified shrinking counter in QpSolver.h and fixed a hard to find bug on the way...
> new adb583a solver now returns the unpermuted solution and uss the QpSolver interface
> new 5aad7e8 random clean up and ported the LLW trainer to the new solver
> new a845b25 cleanup
> new fa021e9 update
> new b81c5c6 * added more svn ignores * update of Shark.dox.in to current doxygen version * removed unneeded and misleading lines from conf.py.in * improved tutorials on doc system * tiny change to installation instructions
> new 9ffe5e3 svn ignore
> new 79ab811 * correct small bug in sphinx markup
> new 9cfea62 * svn ignore for in-doc doc builds * included webserver tutorial in overview files * fixed bug in troubleshooting page
> new 93a6979 * removed obsolete fullyweightedsum kernel from docs (was removed from code earlier)
> new 1757238 clean delete of mkl-ckf.rst in preparation for tut-ification
> new f5817e9 fixed interface error with Linar Mc Svm
> new 26ea9ae eliminate some sphinx/doxylink warnings
> new 0df3c3e fixed very small glitch when handling deactivated variables
> new f73d88c fixed bug in radius margin quotient
> new 3c595d2 filename changed
> new 2713f6a removed probing
> new 366f576 removed probing, added functions to get eiegndecomposition etc. to CMA
> new 4480f22 minimal update of CMA tutorial, which needs revisionm; CMAProbe -> CMAPlot, has been revised
> new f8043ae removed boost regex
> new 54469d9 svn ignore for new mathjax version
> new cd04ae2 fix bug in WeightedSumKernel.h (m_numParameters not initialized in ctor)
> new 10c980b added some new cool operators to vectors
> new c7ea4dc added new helper-function to partition a given number of points into batches
> new 4db364d small cosmetic change to kernel expansions internals
> new f240461 rewrote csv import
> new 7f6b1e5 revised tutorial
> new 31294a4 removed a warning in lassor egression - the timing code was unused
> new a51920e oops forgot to fix the tutorials...
> new 29e19aa removed bu just introduced
> new 4dc8c69 added special case handling for gaussian kernels and sparse data
> new 3f596ea docs: update boost link to persistent url
> new 51a0351 fixed strange error. sorry
> new a0b5d0f attempt to reduce mathjax timeout when offline.. not sure if working properly, but not working worse, at least
> new 4a39e74 minor typos
> new 354510b small doc improvements
> new 51cd2af fixed small error in const ref handling
> new 93754e1 used same label handling as for libsvm
> new 2966127 added kernel kMeans
> new ecd5659 repwrote LinearClassifier to be an argmax converter of a linear model. works great
> new b55c998 fixed install of examples
> new c009cb8 typo
> new daea69c added stStructure interface to KernelExpansion
> new ff01e84 removed default choice for wSS slection in CSVMTrainer
> new 2289c90 cleaned up LinALg and removed unused algorithms. also fixed a bug in CSvmDerivative computation. Also moved everthing in LinALg to namespace blas
> new 4e6be13 svn ignore
> new 0f7363e updated mkl tutorial
> new d8556fb renamed mkl tutorial
> new 309c8f0 fixes small documentation things
> new 21ade59 up dtlz2.setNoObjectives( 2 );
> new 8bb1d58 warning in doc
> new 0ecb504 added a stub on tut and tpp
> new 1c5f077 fixed documentation warnings throughout sharks
> new 7b3340b oops
> new 59c161e RBM doku
> new bcf49f0 convert csvm max-likelihood model selection tutorial to new format
> new e2441c1 removed One-Hot encoding and fixed bug in BFGS
> new 8b9b707 fixed a few smaller bug
> new 3c6ffe9 undo accidental ci of rst file
> new fe4a0a9 fix indentations, svn ignore
> new da04c80 fixed compile error temporarily
> new 90e7280 updated description and interface to regularization network trainer
> new fdcb6ac removed thee automatic experiment interface for MOO experiments.
> new b2eb1eb removed Logger
> new 2091776 cleared Core from all now unused concepts
> new 38a2b53 typo, but still does not work
> new 1a8cd5a bug removed
> new 086d2ef added a framework for LineSearch Algorithms. Reimplemented CG using a defined formula (with reference)
> new 3ae1e2f brought MklKernel test up to date. still commented out in Test/CMakeLists.txt , though
> new 035c02f reduced memory usage of RFTrainer
> new 8003e47 added parallelization to RFTrainer
> new dd528da git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@2922 f06a09e3-3943-0410-8714-a4bb87ba143f
> new c7fa196 Input type of linear SVMs has become a template, allowing for arbitrary vector formats.
> new 3a81699 added exampl code for brute force KNN CV
> new b82af0f fixed small bug in the LinarSVM
> new 0929615 Linear svms now use linear classifiers. also removed necessity to initialize model prior to training
> new 0e5ca0c missing test
> new 9af2645 web-server docs removed from core library
> new aae13e9 small bug fix
> new 6bf70ff sorry, forgot to check this in earlier
> new 44aad42 added KernelClassifier and let all classifiers use it
> new 2dc61b5 fixed bug in Dataset Iterator
> new 78f4d50 headers adjusted, loss derivative for single element added
> new 7475593 first version of kernel logistic regression added
> new 2b1a0da training with offset enabled, number of epochs adjustable
> new f55e8ee documentation improved
> new ead52f8 bug fixes for KernelExpansion (m_outputs removed) and SGD (epochs initialized) changes in headers
> new 669307b features are now allowed to start at zero
> new 8e1ae41 better (?) constructors
> new dabe642 KernelSGDTrainer not inherits IParameterizable
> new 441b6e4 minor typos fixed in the docs
> new f3d67e2 BUG FIX: libsvm import now throws if file opening fails. Ignoring this silently and returning an empty data set was actually quite nasty.
> new e626459 comment header only
> new 5a7b5e0 Archive wrapper for objective functions added. Most probably this will need revision.
> new 3375564 Constraint handling bug fixed, thanks to Christian Aue!
> new c42d215 added note on multi-threded libs
> new 89bad10 improved KrnelSGDTrainer a bit
> new 55d987d added new SimplexSolver for McSVMs which fixes a lot of the issues of the old solver. working
> new 4fbaa63 aded a solver for systems without full rank, hopefully fixed LinearRegression by that
> new 11fe246 fixed CSV bug and added tests for it
> new 6bd545f added more tests, thus fixing ticket #59
> new 2f30cbb span bound removed after debate on the mailing list
> new 10877fc fixed compil error and test
> new 7108f26 removed KalmanFilter
> new 2a19dff cleaned up LinAlg further and moved lineseach algorithms to Algorithms/Impl. Linmin and Lnsrch removed as they are not needed
> new 465c35d removed g_inverse and thus th last remaining invert* function. the several version of solve... are to be used instead
> new c22f1b5 removed now unused ATLAS bindings
> new 27008c7 inner iteration limit introduced, solves some (numerical?) problems
> new 7ca66bf ooops, sorry, now it works
> new 63ebc81 small interface change
> new 58cbddc fixed compile error for export_csv
> new 1784980 header cleanups
> new 24469f3 made "official releae" advanved
> new 27ab068 added fucntion to compute the complete kernel matrix at once
> new 601e0ad added default batch sizee argument to libsvm import
> new 419993f "five" changed into "six"
> new 5e4f3eb test off by default
> new 0571fc2 Fix the Dataset crash with clang on the Mac, and documentation improved.
> new f4c838e up
> new 8095e25 updated example buildfile such, that changed tpp files are automatically converted to cpp
> new a92f540 no test fails
> new 0e8cb37 no test fails
> new 6d925f2 up
> new 2419e75 typo
> new 8bcf304 doc typos
> new 3c0b573 attempt 1 at solving these f**king cmake issues
> new 7c6b966 fixed tpp2cpp target dependencies
> new d6c7064 small changes regarding typs and casts
> new 8329fce svn ignore, tiny variable naming update
> new cf7d043 changed attribute table
> new eda10cb GLPK error handling fixed
> new 78d411f tried to fixa few warnings and updated KernelHelpers.h
> new 31bfd81 up
> new e72ba00 made csv import easier to use - when a whitespace is given as a separator this counts as no separator, so there is no need for a 0 as argument anymore. Also fixed a bit of typos...
> new 0a556f1 fix (or evade via ignore) remaining doxygen warnings
> new 9ca61a4 version 0 of lasso toturial added
> new 8bbaa56 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@2989 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 19279ac git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@2990 f06a09e3-3943-0410-8714-a4bb87ba143f
> new db0c086 Versatility of learning tutorial fixed, all code moved to example programs.
> new 181088a Worked over statistics tutorial and example program.
> new a5a9a7d git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@2993 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 776544b improved LibSVM import to use less memory
> new 063a858 added measurement of wallclocktime to timer, which is now the default
> new 9823e9e svn ignore
> new 09db532 - let Csv test also test comment functionality. - tiny doc clarification
> new da4ee43 Oswin's noalias fix ported from the LinAlg branch to the trunk for immediate benefits
> new 729be02 bad typo
> new 7195de8 up
> new 04cd2cc typo
> new 15a77c6 rewrote LinAlg completely
> new 2a4dfc4 fixed comment handling in csv.h
> new dcee6f3 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3017 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 7f69ee4 simple "make uninstall" added
> new cabd927 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3019 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 3c690b4 namespace of isnan fixed
> new 12f9b67 corrected typo
> new c045ced added operator *= to dense vectors and matrices allowing for elementwise multiplication. replaced element_prod in shark by * or *=
> new c1d9551 fixed compile bug for older boost versions
> new 0e1ced3 optimized Gaussian RbfKernel derivatives
> new 6b108c1 more missing includes
> new 819845f more missing includes
> new 18c512b added appending of datasets
> new c5be9e5 fixed an issue regarding serialization of Classifiers
> new 0a8bc41 - svnignore - added repository version to doxygen's 'The documentation for this class was generated from' ... - small typos in datasets.rst
> new 1f5c021 timer problem fixed
> new 871ec71 two new tutorials added
> new fcd2455 examples for tutorials modified/added
> new 90f8616 header
> new 45fdd09 bugs fixed
> new a7b28a5 more fixes
> new 62027d1 fix of ugly "& &" --> "&&" bug
> new 7af4a30 buggy (?!) third parameter removed in csv_import for labels
> new b640802 small cosmtic changes
> new 19c1ae5 added second derivates for losses
> new dca5e4c added proper prior to LDA
> new 2278c75 added a bit of numerical accuracy to scaling of C
> new 34eb585 another timer fix
> new 8fe523b git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3043 f06a09e3-3943-0410-8714-a4bb87ba143f
> new f791dad added an ATLAS binding for inner_prod
> new e041c68 improved handling of nested proxies
> new e87a81c fixed small bug in sparse matrix transformations. deactivatd failing tests and declared as won't fix. Fiing that would either be stupid or slow - even in cases where it wouldn't require a change
> new c42c445 fixed two errors on ubuntu: a missing include and a numercial problem with PCA with verz small eigenvalues - they are now ignored as they are only numerical noise
> new 1cbd69d fixed small bug when adapting C while using cross validation(no current result is invalidated). Also removed a specialisation that is not necessary
> new dd285ca fixed a bug in jaakkola heuristic which occured when two identical points had different labels. Also rewrote it so be a lot faster when used with ATLAS. still needs some better optimization
> new e908378 HDF5 fix. CMake will now test if the existing HDF5 lib has the correct executables installed.
> new 0de4c88 fixed serious bug in LibSVM WSS. Does not effect final results, and does not effect gaussian kernels. Only runtime is affected. Wrong matrix diagonal was chosen.
> new b8532d4 made CrossEntropy numerically more stable. Also changed the starting step with of KernelSGDTrainer to be more reasonable
> new 6dc93ce up
> new 38f4b89 up
> new b9c6596 fixed dysfunctional nearest neighbors test.
> new 6496cd5 further fix which fixes the learning rate for high values of C
> new f0769ec clang warning fixed
> new 3505606 Add missing flag for Clang 5.0 on OSX
> new e283ba0 small changes in documentation removed information about how to contribute / code review system
> new d3bd495 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3061 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 7763070 macro renamed
> new c5e87a2 added function for numerically stable calculation of soft_max(x) = log(sum(exp(x)), where x is some vector
> new ce1e95d changed JaakkolaHeuristic API such that original and faster algorithm is default
> new db2f118 added AIS and other algorithms to estimate the partition function
> new 44c5fb9 * fixed tooltip bogus content with new doxygen versions (>1.8.5) * svnignore * some typos * small doc improvements
> new a323402 changed order of include files
> new 5228550 up
> new e685f03 added initial random number tutorial
> new 12ea436 up
> new 81e33d0 isnan -> boost
> new 8e42e17 changes constructor such that test work again
> new 5a42830 fixed probelm when uni / discrete is called with min=max; changed file encoding
> new ea9c05f added comment, removed useless argument from distribution constructor
> new fe06dc1 MultiVariateNormalDistribution API updated
> new 702147a made CD and estimation of partition function multithreaded
> new 098ce1e fixed small bug introduced by too small type
> new ab87804 restructured code a bit to allow estimation of several algorithms from the same sample
> new c1990dc fixed small problem that too many threads are created when there are not enough batches
> new 3a52888 added burnin time
> new 051461a added the full propper AIS as proposed by NEAL
> new 7733c63 added multi threading again
> new eb8732b fixed broken example
> new 9a27a64 changed softPlus/soft_plus to use floating point precision. had to tune tests to the new numerics
> new f85d275 fixed temeprature handling and renamed algorithms
> new 4dedaa4 GNU linear programming toolkit removed as a preparation for license change
> new b940465 changed license
> new 6a72af2 up
> new f697d6c fixed legal thingy that prevented CPack from building
> new 8448883 removed GLPK.cpp as it was forgotten..
> new ea26d24 added mean classifier
> new eec013b rewrote RFClassifier to use MeanModel
> new 24e7032 update header template
> new 8c66770 update header template
> new 9300847 add tool for replacing headers. will execute it this evening.
> new 4f44b49 Update existing headers to LGPL.
> new 7efef07 update of header replace script
> new c8e0262 added news about LGPL
> new 909ad00 up
> new b35b52a up
> new a2f6076 up
> new bc73e30 Remove all file tags
> new 81d2a66 adapted for OPenSuSE
> new 6be08d3 add comment on shared libs
> new 4d23c8a hopefully fixed vector for bool arguments
> new 6b28883 added a stub for a weighted error function
> new c18f9c6 partially added code from Kang
> new 1c0a620 fixed a bug with reading in files with single integral values
> new c417371 updated
> new 325d753 up, typos
> new 9de5da2 Visual bug
> new b29b8cd added attribute counter
> new 57da1ed added feature selection to dataset
> new f404b7d minor typo
> new eef662e typos
> new 0fd6a3a bit of clean up
> new a9e593d various clean up and added flip-thestat sampling
> new c72ac7c added support for accessing columns / features in data sets
> new 2df9370 various fixes and simplifications throughout the RBM library
> new 7995be5 - svnignore - tiny typos and corrections in docs, sent from jacob
> new 86887da added HingeLoss Loss-function
> new e9efdf5 added squared hinge loss
> new 1892ea9 cleaned up MarkovChain Tests
> new f372038 implemented vector valued min max to single scalar values as in max(vector,0.0)
> new aab45f0 sorry for compile errors
> new f41cd24 - added better capabilities to recreate splits from indices: added index vector type to class signatures - tiny: added second level of verbosity option to grid search
> new e425cf1 tried to fix normalized kernel test (was unused before). removed now unneeded old kernel tests, they are all in new files by now
> new 24380b5 reactivated two older tests and got them to work again
> new 7aed15f removed FitnessTraits
> new ddaf485 fixed small bug in LDA
> new 4895dd5 added psilonHingeLoss for Regression
> new 0b78d28 added a bit of doc to the losses
> new 110418f partly rewrote DirectSarch
> new cace467 sorry for the compile errors in the example code
> new 35af291 added missing include file
> new 07dba12 add libsvm-like wrappers
> new bb6c63f remove small typo
> new 22b878b remove wrappers.
> new 49895c2 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3139 f06a09e3-3943-0410-8714-a4bb87ba143f
> new a25dd0b git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3140 f06a09e3-3943-0410-8714-a4bb87ba143f
> new e29d59a "inline" added to remove clang warning
> new 53b3d2a 1/2 added - gives correct results but is somehow odd...
> new c7574e2 up
> new 8445f6d got DirectSearch back to compiling and cleaned up a lot of things
> new 783c96a updated CMA a little
> new 1c98ac7 I broke PT and fixed it again. Also added a way to store the energy differences for running chains using a wrapper for PT
> new da07193 rewrote ElitistCMA
> new 24d176c forgot to update file header
> new 3d1a5e6 removed two unused files
> new eadf401 oops
> new b21cd41 removed more unused files
> new 24a58fa added iterator constructor to vectors
> new e93a4a2 further clean-up of direct search. moved a few deprecated components in Save before they get deleted. Merged all elitist cma parts into the CMAIndividual and rewrote MOCMA algorithms to use this
> new 2fb48cf missed a file
> new fee3fbc removed empty dirs
> new 546f9f1 up
> new ef0413d further rewrote DirectSearch
> new 0c01e20 Fixed warning about signed-unsigned int comparison
> new 6c051c3 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3159 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 77f0801 unified MOCMA and ElitistCMA code
> new 930f92a made MultiVariateNormalDistribution simpler
> new 5028848 further cleaned up MultiVariateNormal and added MultiVariateNormalDistributionCholesky which uses a cholesky decomposition
> new fbee7fb minimal test of default variant
> new a93d2e4 first checkin of reworked data tutorials
> new 71758ce markup fixed
> new 822474c git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3166 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 06f30c8 more on data tutorials, this time with a bug :(
> new 0113485 fixed dataset tutorial
> new 643387e git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3169 f06a09e3-3943-0410-8714-a4bb87ba143f
> new c56a8cf data import/export routines renamed, examples + tests + documentation updated
> new 25286f5 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3171 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 6d213be forgot one file
> new af949ea git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3173 f06a09e3-3943-0410-8714-a4bb87ba143f
> new 2b210c1 added cholsky update
> new 9522374 added author/date
> new a10c912 added parallel mini batches to the RBM package
> new d5c570f removed AbstractFactory as well as unit tests for it
> new 385374a removed plotting function
> new fc4dc6c removed Derivative.h
> new cd7ef79 removed Statistics.h
> new 3cabecb removed docs to removed classes
> new a743e4b updated ignored files in the doc
> new 8b222fd removed SharkDefs - not needed anymore
> new 3065c81 moved a test file tool to the Test folder
> new 1705780 cleaned doxygen documentation a bit by removing template specialisations and deciding that detail/* and Impl/* should not be documented. Also moved stuff around to use this
> new 6f13c4f redo of commit that removed Statistics.h
> new 12fddd3 removed the Batch bindigs for boost::fusion::vector, they are superseeded by the other methods and thus useless
> new dee7c3c removed SearchSpace and IsVector to make things simpler
> new da9a151 fixed a broken test and cleaned up a small thing which allowed me to remove CopyConst. Also figured that SharedVector is some remains of some old thing we don't ned anymore -> can die
> new b74b31b moved Fuzzy to addons
> new d1f3f5c added missing documentation of statistics
> new a1de6b9 oops
> new b7ba561 error in gitignore lead to ignoring the examples
> new e56e92c - svn ignore - added quickref directory, it's overview and the first page - added corresponding links to it, updated html templates
> new 36225b9 Oswin's comments incorporated
> new 1b1400b git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3196 f06a09e3-3943-0410-8714-a4bb87ba143f
> new ba966ec (too stupid to proof read...)
> new c4e31a8 added the first part of the SVM approximation
> new d680283 documentation slightly altered
> new f59b749 merged changes
> new 1a2efe8 git-svn-id: https://svn.code.sf.net/p/shark-project/code/trunk/Shark@3201 f06a09e3-3943-0410-8714-a4bb87ba143f
> new f4170c6 Refactor matrix classes
> new 37b5602 fix for the includes. part 2/42
> new d14bce7 added test for the box constraint handler
> new eee42e6 small improvements to KernelBasisDistance - added a method to return the computed beta value
> new 6e7c6b6 cosmetic fix
> new 1a30b08 added a Test for PenalizingEvaluator and fixed a bug
> new bccd53b hotfix.. part 3/42
> new b04b261 added Dominance relation Tests and small fixes
> new 7833174 fixed two reported bugs, one crippling performance, the other crippling the MOCMA. added unit tests and fixed two other smaller bugs. MOCMA has now a unit test which passes
> new fac408c checked ZDT implementations and benchmarked the MOCMA with two more functions
> new 5159760 add a special kind of cache that just makes sense for kernelsgd
> new 6cd3d0c checked and cleand up benchmarks again and added even more tests - now also for SteadyStateMOCMA
> new fc6d446 checking the other functions as well and cleaned up the code
> new 22870cb added unit test for RealCodedNSGAII and fixed small compilation bugs. ZDT2 fails however
> new 49ffeee whoopsie
> new 957cabd small cosmetic fixes and made tests a bit faster
> new 8057499 fixed a bug in automatic return type promotion when the argument was a scalar in binary operations. now vector<int>*double->vector<double>
> new 3e10c5d added example for experimental usage of MOCMA
> new 2d08b7d added an example for an MOO Experiment
> new f540e13 unified mu_plus_lambda and mu_komma_lambda selection, it now fits in the general interface
> new 469cc48 clean up, improved a test and removed a dysfunctional one, which only pretended to be a test
> new 860a476 add vector include to avoid compile error on old mint 14
> new 2aecf28 replaced RBFNet by RBFLayer for better reusability
> new 004b775 added input derivative for linear model. this is needed to create a RBFNet using RBFLayeer and LinearModel
> new 3899612 added possibility to only train one part of the concatenated model
> new c855144 added a model representing a convex combination based on the lienar model. the main differences are the constraints used to enforce the convexity property
> new 75dd815 added first draft of negative log likeelihood function. This is not stable as we explicitely compute first p(x) and then log(p(x)). as p(x)->0, this becomes unstable
> new fc69123 removed bug in computing the angle of the ellipses
> new c7eeccc typo
> new 237b936 insert function to set sigma
> new 499df56 changed to unix format
> new 03982af 1st attempt to fixe scaling
> new 7050ce6 added counter
> new b7315e8 deactivated for now the fast covariance update as it is numerically unstable
> new 345d5f7 added numeric safeguard to covariance matrix update, checked that it now runs finee with 200 dimensions
> new 5f71e57 unused variable
> new 470552e updated CMA-ES to match the 2011 tutorial version
> new 9e40f68 up
> new 2b7f43f added efficient rank 1 update for cholesky factors
> new 6756385 added new, fast, intelligent cholesky update which does not require the inverse
> new 0264467 a test was failing after the ellipsoid function got changed
> new 0983f77 changed the Evaluator interface a bit so that it is possible to evaluate groups of individuals. This might allow us later to introduce noise handling
> new da11656 we need boost 1.48 at least
> new 8a25105 fixed small fuckup during another fix... thanks francois-michel
> new b3db74e minor change (mainly for testing, so ignore)
> new e49f700 add boolVector/Matrix..
> new 121d610 "bug fixed" - or rather unit test adapted :/
> new b744700 changed separator form string to char
> new 7d44091 small fixes for documentation
> new 6bf8a4d ref to RBFN
> new 2765f37 fixd problems with dynamic linking on linux
> new 23c9f4c added an evaluation example for the CMA
> new f0b5ada made an example on how to train a mixture of gaussian unsupervised using KMeans and MaxLogLikelihood. Works on the faithful dataset, so i am sure it will always work...
> new 26bbcb2 oops
> new 21a51e8 Fixed some bugs and added some small feature for title lines in Csv.h
> new f387c3c oops git failed me
> new c0786e4 added missing kernel matrix includes
> new 7c3a386 removed bad implementation of Noisy autoencoder error
> new c1b5fb7 made it possible to set the initial step size
> new a4b285c added distribution which samples image patches from images
> new 3748212 added a testing function whcih checks that the weightedDerivatives method produces similar results as the individual calls
> new 582f589 optimization for WeightedDerivatives not to call derivatives neadlessly
> new 8b3d177 added helper function to interpret vectors as matrices more easily
> new 7e262cb added model which corrupts its input by gaussian noise. usefull for denoising autoencoders
> new 4d81863 improved temporary proxy handling
> new 9d06325 rewrote FFNet and fixed a bug that lead to a crash when the bias was not used
> new bb5ee68 make ACF and shrinking optional
> new 083a021 allow non-const access to basis of kernelexpansion
> new c6667f2 rename PrecomputedMatrix, minor typos
> new 4598986 1. fixed small bug in that the maxIteration count was notused in one version of CG. 2. replaced Gram-Schmidt orthonormalisation for creation of random rotation matrices with househodler reflection algorithm, which is numerically more stable - this is now good enough for benchmarking numerical routines in high dimensions - it is also faster.
> new 7b6b98e added a unit test for eigensymm which is at least a little bit more sophisticated. Also made a bit of the test code slightly faster and changed an unobvious noterror to an obvious correct piece of code
> new c92e532 1. changed dynamic/static once more. now it should actually be working. 2. added bindings to ATLAS-LAPACK if ATLAS is build with full lapack (new build option for now, until i find a good way to query this)
> new 5fc0caa moved the rank one update into the MultiVariateNormalDistributionCholesky
> new 42f01e4 added new weighted datasets
> new 2aca420 added the possibility to query the batch sizes for repartition
> new f7bbd23 small fixes to the Weighted Dataset
> new cfadc64 rewrote problem constructor to support for individual weights and C values for each class
> new 3abb1c1 added interface for new weighted trainers
> new a3c7434 added support for weighted CSVM training
> new a398b35 added bootstrapping
> new e0da5fe added cod for the multinomial distribution
> new 96675f4 added another test
> new 08994df small fixes and added querying functions as for normal datasets
> new 20c2173 added weighting for LDA. Only problem is, that i can't get the unbiased estimates right
> new bbafbf3 uncommented a test case..oops
> new bec62ec removed DataObjectiveFunction
> new d2a8e1e fixed small possible compile error
> new 03ddac1 updated documentation a bit
> new 02ad80e added function which automatically rotates another (probably axis aligned) function
> new 73080c8 up
> new 4a37eb0 added triangular matrix-vector product: triangle_prod(A,x) which computes x=Ax
> new 2df3fef fixed a bug that Aydins build server found. I promise, i will never change a line in that ugly code
> new 14f0454 added faster implementation for trsv in certain cases
> new 4a6bca5 fixed HDF compilation warning
> new 6f6c5db added loss for sequences and removed the derivative interface for AbstractLoss
> new 631bfdc add first version of kernelBudgetedSGDTrainer
> new 171a871 fix errors and docs
> new 1dedda1 add projection maintenenace strategy, missing any tests
> new fd7d3a5 update doc for projectbudget..
> new d98b5f2 revert unintended checkin
> new 3771fcb add label order class
> new e498174 fixed initial step size of CMA in high dimensions
> new e121df4 added two Large scale CMA variants. need documentation/tests but working
> new be12b02 make valgrind and vs2013 happier than before
> new fa2abfc fixed learning rate
> new 09dfa68 definitions of cigar and discus where switched
> new f4b04ff reenabled hand-modification of eigenvalues
> new 71a0450 fixed bug in active covariance update
> new 2f02f93 changed definition of beta such that now beta=0 is feasible for gaussian layers. accordingly it is now possible to hav a canonical definition of AIS etc which use equal temperature spacing. These methods are added for easier usage
> new b929753 some changes to add momentum and make some hyper parameters more reasonable
> new 28e95ab up
> new b6a776a up
> new 3735c7e small updates
> new 2deb6da improved documentation
> new 8a43397 typo documentation
> new afe3560 added broader support for regularizer
> new 682fb44 added the huber loss
> new 481337e added Tukey's Biweight loss for robust regression
> new b3d3a4c added tutorial to train a deep neural network on a simple toy task. Added various helper functions to make this easier
> new 896b28b added tutorial for deep ffnets and changed a few other tutorials by removing lying parts/updating them
> new 45059bd fixed
> new 69ac84a small doc fix
> new 3df09a8 minor bugfix/update
> new 1d270d1 randomly swap loci
> new 480e2d8 added min function...
> new 8c578cb added regularisation methods to NoisyErrorFunction
> new 0291faa added TiedAutoencoder (autoencoder with tied weights)
> new b2d441d fixed LinAlg headers
> new 24dfb10 added ZCA normalisation
> new d6ed07a added Dropout
> new c07e276 added 'Impulse' noise for denoising autoencoders on binary data
> new 82b3cfb added also simple autoencoder with the same interface as TiedAutoencoder (and sharing much code unfortunately...). Tsted and works
> new 96c4132 added Rprop with full weight backtracking
> new dbc1b9d fixed svd problem
> new f4f296e fixed small bug in tutorial when reading the datast. Thanks at Michiel
> new cbeba1b remove NegativeClassificationLogLiklihood and updated tutorials to reflect this. Had to add a quick fix for SigmoidFit
> new 0a0d0f4 mac rpath policy
> new f875690 test for version
> new 4a3b2ea make code more c++
> new c6498b5 brought the Sparse-AE tutorial closer to the current state-of-the-art implementation
> new de38344 removed the choice of ouput neurons for autoencoders
> new be9a9a1 -undid the bad decision to have no output neuron type in Autoencoders -brought the SparseAEtutorial and the SparseFFNetError even more in line with current development by replacing FFNet->(Tied)Autoencoder -updated the documentation and updated our list of classes and methods
> new 979111a added basic autoencoder tutorial
> new 72b1b6f added denoising autoencoder tutorial
> new e814dce added RBM tutorial and fixed some compilation bugs. Sorry for the late commit, my local git repo was broken...
> new 076833c rm warning because of double (())
> new ad8aec4 added documentation
> new 3649d2a updated doc
> new 0a53789 capitalization
> new 236bf82 up
> new 860df66 up
> new a7df977 ignore
> new 1cc4af8 small revisions
> new a2bd702 test, added loval js conf file
> new c47c598 up
> new b036eb1 - expanded on chris recent changes to change the latex \vec command to print bold symbols instead of arrowed ones. In detail, add local mathjax config file, load it, and also load it for fallback local code. Plus all the same for doxygen pages, too.
> new 67241b1 - repaired previous hacks for vector redefinition in mathjax for strictly no absolute paths (e.g. allowing copy to diku server with docs built elsewhere). seems to work
> new 7c59623 updated tutorial with probability of samples section. also improved the softmax model as to also work with only a single input
> new c5970ed added mask to TwoNormRegularizer
> new 9f33e38 add componentwise sin/cos
> new 1dc08f2 added helper functions
> new 5866950 added fix in case that the highest index is available and a separate index is givn
> new bde098c added matrix sin/cos for completeness
> new 774b5d5 various changes
> new 2f8236a typo in documentation
> new 31875d7 fixed missing function problem
> new c46f4bc bug corrected
> new a4daeb3 fixed reported compile errors on VC2010
> new 80d3b80 fixed the VD-CMA Algorithm. Worst problem was an error in the paper. I think it is now working fine, at least the convergence looks reasonable
> new f544128 fixed bug in tutorials page
> new 8ac10d2 whoopsie
> new f04dfe0 fixed openmp issus with VC2013 as in ticket #80
> new 81da003 fixed numerical error with NegativeAUC
> new 26d3697 added new batchwise cross validation folds
> new b9e6c87 fixed small bug in tutorial
> new a3574ab fixed compilation problems with boost 1.57 beta(which does still not compile because of serialization)
> new 3169558 removed unusd components
> new bcc650d newlines
> new 21a8fa8 Added the trigamma Function. Wow!
> new db73a88 Added a trainer for the so-called reinforced multi-class SVM.
> new f7826ea unit test and example added for reinforced SVM
> new e08c1bd redid approximation of trigamma and added tetragamma function.
> new 0fbf6dd typo
> new dff461d 1/distance weights added to nearest neighbor models
> new eda44fe change test suite names
> new bd9744b change test suite names, rest
> new 4aa7671 fixed noalias(x)*=2 failure and added a matrix_set on the way for Data<RealMatrix>
> new 7f3d3f8 added ModelKernel class which computes a kernel with a model to map the inputs into another space
> new e6bbd47 missing includes added
> new 5930593 changed name to reflect name of inner function
> new e7c509e added optimisation for column_major matrices when an outer_prod is applied
> new 8bdaea3 various optimisations(and a small fix) for ElitistCMA
> new d4b6e4b after i made another test more strict it turned out that this class didn'tset its proper flags...
> new 5b3f78c fixed possible error with parallel Dropout
> new dc7b7b0 added new triangular matrix class with packed n*(n+1) storage, also cleaned up on the way
> new 00df7d8 fixed warnings and activated a missing test
> new dcec81d added push_back for vectors
> new 7ee37ed add coverage/memcheck
> new 9fcfe3d update test cmake files
> new 4fd4ab5 hide coverage, if mac was broken, this should fix mac build
> new 5e2fadc fix stupid merge error. someone should ban me from using svn. or we move to git.
> new a9e1b87 try to fix the stupid bug. its late, i need vacations
> new cbee577 linear reinforced multi-class SVM (RM-SVM) added
> new 24aa144 added scalar add/subtract for vectors
> new 34c4ff0 missed a header file
> new c7d22e6 added regression capabilities to KTA
> new a7db251 added multi thread support for KTA(making the class even uglier)
> new ac3bdb9 additional constructor the soft nearest neighbor classifier
> new 37ddd71 added atanh
> new ff6c03d oops
> new 96e5512 remove bogus and unnecessary file
> new e477559 small -> tiny
> new 719f998 fixed a number of warnings in release mode
> new 309d3b0 fixed another warning
> new 8237562 added functor for fitness sorting
> new 7ac27d6 small fixes in docu and added operator+= and -= for elementwise addition of a scalar. + and - where already there
> new fb8bef2 update copyright date
> new 3f86291 added new benchmark functions
> new 387518b added alpha parameter to Cigar
> new f33a5c8 fixed bug in CMA-ES. sigma was updated to early. Thanks Tobias.
> new dcdb9ab add valgrind results folder
> new 801de94 minor fixes in gridsearch tut
> new 260213b removed old csv interface, killed warning in IHR?
>
> The 918 revisions listed above as "new" are entirely new to this
> repository and will be described in separate emails. The revisions
> listed as "adds" were already present in the repository and have only
> been added to this reference.
>
>
> --
> Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-med/libshark.git
>
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