Feb. 20, 2009 - Soeren Sonnenburg - debian@nn7.de



SHOGUN Release version 0.7.0 (libshogun 0.0, data 0.0, parameter 0.0)
This release contains major feature enhancements and bugfixes:

  • Features:
    • Implement DotFeatures and CombinedDotFeatures. DotFeatures need to provide dot-product and similar operations (hence the name). This enables training of linear methods with mixed datatypes (sparse and dense and other even the newly implemented string based SpecFeatures and WDFeatures).
    • MKL now does not require CPLEX any longer.
    • Add q-norm MKL support based on internal Newton implementation.
    • Add 1-norm MKL support based on GLPK.
    • Add multiclass MKL support based on the GLPK and the GMNP svm solver.
    • Implement Tensor Product Pair Kernel (TPPK).
    • Support compilation on the iPhone :)
    • Add an option to set wds kernel position weights.
    • Build static libshogun.a for libshogun target.
    • Testsuite can also test the modular R interface, added test for OligoKernel.
    • Ocas and WDOcas can be used with a bias feature now.
    • Update to LibSVM 2.88.
    • Enable parallelized HMM code by default.
  • Cleanup and API Changes:
    • Shogun has been split up into libshogun and the static and modular interfaces linking to it.
    • Static interfaces now do proper reference counting.
    • Remove SparseLinearClassifier: LinearClassifier is a drop-in replacement.
    • WDOcas and SVMOcas now have the bias term enabled by default.
  • Bugfixes:
    • Fix regression for COMM* kernels (normalization argument was ignored).
    • Use C99 variadic macros, instead of gcc's own variant.
    • Disable lp_solve, it is not required as we are using GLPK now.
    • Fix HMM training.


What's New

Feb. 17, 2014 -> SHOGUN 3.2.0
Jan. 6, 2014 -> SHOGUN 3.1.1
Jan. 5, 2014 -> SHOGUN 3.1.0
Oct. 28, 2013 -> SHOGUN 3.0.0
March 17, 2013 -> SHOGUN 2.1.0
Sept. 1, 2012 -> SHOGUN 2.0.0
Dec. 1, 2011 -> SHOGUN 1.1.0