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shogun: Shogun 4.1.0 - Tajinohi no Agatamori

Soeren Sonnenburg; Heiko Strathmann; Sergey Lisitsyn; Viktor Gal; Fernando J. Iglesias García; Wu Lin; Chiyuan Zhang; Soumyajit De; frx; tklein23; Evgeniy Andreev; JonasBehr; sploving; Parijat Mazumdar; Christian Widmer; Abhijeet Kislay; Kevin Hughes; Roman Votyakov; khalednasr; Saurabh Mahindre; Alesis Novik; Abinash Panda; Evangelos Anagnostopoulos; Liang Pang; serialhex; Alex Binder; Sanuj Sharma; Michal Uřičář; Björn Esser; Daniel Pyrathon

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Soeren Sonnenburg</dc:creator>
  <dc:creator>Heiko Strathmann</dc:creator>
  <dc:creator>Sergey Lisitsyn</dc:creator>
  <dc:creator>Viktor Gal</dc:creator>
  <dc:creator>Fernando J. Iglesias García</dc:creator>
  <dc:creator>Wu Lin</dc:creator>
  <dc:creator>Chiyuan Zhang</dc:creator>
  <dc:creator>Soumyajit De</dc:creator>
  <dc:creator>Evgeniy Andreev</dc:creator>
  <dc:creator>Parijat Mazumdar</dc:creator>
  <dc:creator>Christian Widmer</dc:creator>
  <dc:creator>Abhijeet Kislay</dc:creator>
  <dc:creator>Kevin Hughes</dc:creator>
  <dc:creator>Roman Votyakov</dc:creator>
  <dc:creator>Saurabh Mahindre</dc:creator>
  <dc:creator>Alesis Novik</dc:creator>
  <dc:creator>Abinash Panda</dc:creator>
  <dc:creator>Evangelos Anagnostopoulos</dc:creator>
  <dc:creator>Liang Pang</dc:creator>
  <dc:creator>Alex Binder</dc:creator>
  <dc:creator>Sanuj Sharma</dc:creator>
  <dc:creator>Michal Uřičář</dc:creator>
  <dc:creator>Björn Esser</dc:creator>
  <dc:creator>Daniel Pyrathon</dc:creator>
  <dc:description>This is a new feature and cleanup release.


	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].


	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 &gt;= 3.5 [Björn Esser].
	Add modshogun.rb: make sure narray is loaded before [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].
  <dc:title>shogun: Shogun 4.1.0 - Tajinohi no Agatamori</dc:title>
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