Published February 10, 2016
| Version shogun_4.1.0
Software
Open
shogun: Shogun 4.1.0 - Tajinohi no Agatamori
Creators
- Soeren Sonnenburg1
- Heiko Strathmann
- Sergey Lisitsyn
- Viktor Gal
- Fernando J. Iglesias García2
- Wu Lin
- Chiyuan Zhang3
- Soumyajit De4
- frx
- tklein23
- Evgeniy Andreev5
- JonasBehr
- sploving
- Parijat Mazumdar6
- Christian Widmer7
- Abhijeet Kislay8
- Kevin Hughes9
- Roman Votyakov
- khalednasr
- Saurabh Mahindre
- Alesis Novik
- Abinash Panda
- Evangelos Anagnostopoulos
- Liang Pang10
- serialhex11
- Alex Binder
- Sanuj Sharma
- Michal Uřičář12
- Björn Esser
- Daniel Pyrathon
- 1. TomTom Traffic Production Unit Berlin
- 2. University of Twente
- 3. MIT
- 4. Oracle India Pvt. Ltd
- 5. LED Optics Design, LLC
- 6. University of Illinois Urbana Champaign
- 7. Activision-Blizzard
- 8. University of Minnesota
- 9. Shopify
- 10. ICT
- 11. Level 3 Inspection
- 12. Czech Technical University in Prague
Description
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].
Files
shogun-shogun_4.1.0.zip
Files
(6.3 MB)
Name | Size | Download all |
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Additional details
Related works
- Is supplement to
- https://github.com/shogun-toolbox/shogun/tree/shogun_4.1.0 (URL)