Feb. 9, 2016 - Heiko Strathmann -



SHOGUN Release version 4.1.0 (libshogun 17.1, data 0.10, parameter 1)
This is a new feature and cleanup release:

  • Features:
    • Added GEMPLP for approximate inference to the structured output framework [Jiaolong Xu].
    • Effeciency improvements of the FITC framework for GP inference (FITC_Laplce, FITC, VarDTC) [Wu Lin].
    • Added optimisation of inducing variables in sparse GP inference [Wu Lin].
    • Added optimisation methods for GP inference (Newton, Cholesky, LBFGS, ...) [Wu Lin].
    • Added Automatic Relevance Determination (ARD) kernel functionality for variational GP inference [Wu Lin].
    • Updated Notebook for variational GP inference [Wu Lin].
    • New framework for stochastic optimisation (l1/2 loss, mirror descent, proximal gradients, adagrad, SVRG, RMSProp, adadelta, ...) [Wu Lin].
    • New Shogun meta-language for automatically generating code listings in all target languages [Esben Sörig].
    • Added periodic kernel [Esben Sörig].
    • Add gradient output functionality in Neural Nets [Sanuj Sharma].
  • Bugfixes:
    • Fixes for java_modular build using OpenJDK [Björn Esser].
    • Catch uncaught exceptions in Neural Net code [Khaled Nasr].
    • Fix build of modular interfaces with SWIG 3.0.5 on MacOSX [Björn Esser].
    • Fix segfaults when calling delete[] twice on SGMatrix-instances [Björn Esser].
    • Fix for building with full-hardening-(CXX|LD)FLAGS [Björn Esser].
    • Patch SWIG to fix a problem with SWIG and Python >= 3.5 [Björn Esser].
    • Add modshogun.rb: make sure narray is loaded before modshogun.so [Björn Esser].
    • set working-dir properly when running R (#2654) [Björn Esser].
  • Cleanup, efficiency updates, and API Changes:
    • Added GPU based dot-products to linalg [Rahul De].
    • Added scale methods to linalg [Rahul De].
    • Added element wise products to linalg [Rahul De].
    • Added element-wise unary operators in linalg [Rahul De].
    • Dropped parameter migration framework [Heiko Strathmann].
    • Disabled Python integration tests by default [Sergey Lisitsyn, Heiko Strathmann].


What's New

Feb. 9, 2016 -> SHOGUN 4.1.0
Jan. 26, 2015 -> SHOGUN 4.0.0
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