Features Download
From: Sergey Lisitsyn <sergey.lisitsyn-Z2lspGEnpre4vvrruGDysh2eb7JE58TQ <at> public.gmane.org>
Subject: Announcement: Shogun 2.1 is out!
Newsgroups: gmane.comp.ai.machine-learning.shogun
Date: Sunday 17th March 2013 13:02:33 UTC (over 5 years ago)
Dear all,

on behalf of the team, I am pleased to announce that we have released the
new version of the Shogun machine learning toolbox - 2.1.0. This release is
the result of hard work of all developers - no jokes, we've got almost 800
commits since 2.0.0 and it contains a load of bugfixes, new features and
improvements (see verbose list below) that make Shogun more efficient,
robust and versatile.

Please check the website http://shogun-toolbox.org/ to
download the new
release or check the project at GitHub
to see the sources.

Let me insight you on the changes that is going on. I am glad to state that
we have finally comprehended the need of software quality - we increase
(thanks to Heiko) test coverage day-to-day. This makes the software much
more reliable and in the end saves time of both users and developers.
Another thing I'd like to point is that (I believe) we should strive for
ultimate usability and that could be even more important than the number of
algorithms we integrate. A great change is that we are improving our code
with the Eigen3 library instead of using BLAS/ATLAS - that makes our code
shorter and more efficient.

We are planning two events in the near future. First of all, we are going
to apply for GSoC 2013 to hopefully expand our team with new day-to-day
contibutors. Second, we are planning to hold Shogun Toolbox Days 2013 in
Berlin @ C-base. Please stay tuned if you are interested, more
announcements to come later!

And finally, some Oscar-award-like part.

We have received a bunch of bug reports and suggestions from our users -
we'd like to thank you all for using the Shogun toolbox and for your help
to make it better. Please keep on providing a feedback, we really
appreciate that!

I'd like to thank our most hard-working teammates Soeren Sonnenburg and
Heiko Strathmann. I'd also like to especially thank the developers who
stayed with us after GSoC 2012, namely Fernando Iglesias and Viktor Gal.
That's just great we have such team.

Here comes a little more verbose list of changes that we have done:

* SHOGUN Release version 2.1.0 (libshogun 13.0, data 0.5, parameter 1)
> * This release also contains several enhancements, cleanups and bugfixes:
> * Features:
> - Linear Time MMD two-sample test now works on streaming-features, which
>   allows to perform tests on infinite amounts of data. A block size may
>   be specified for fast processing. The below features were also added.
>   By Heiko Strathmann.
> - It is now possible to ask streaming features to produce an instance
>   of streamed features that are stored in memory and returned as a
>   CFeatures* object of corresponding type. See
>   CStreamingFeatures::get_streamed_features().
> - New concept of artificial data generator classes: Based on streaming
>   features. First implemented instances are CMeanShiftDataGenerator and
>   CGaussianBlobsDataGenerator.
>   Use above new concepts to get non-streaming data if desired.
> - Accelerated projected gradient multiclass logistic regression
>   by Sergey Lisitsyn.
> - New CCSOSVM based structured output solver by Viktor Gal
> - A collection of kernel selection methods for MMD-based kernel two-
>   sample tests, including optimal kernel choice for single and combined
>   kernels for the linear time MMD. This finishes the kernel MMD framework
>   and also comes with new, more illustrative examples and tests.
>   By Heiko Strathmann.
> - Alpha version of Perl modular interface developed by Christian
> - New framework for unit-tests based on googletest and googlemock by
>   Viktor Gal. A (growing) number of unit-tests from now on ensures basic
>   funcionality of our framework. Since the examples do not have to take
>   this role anymore, they should become more ilustrative in the future.
> - Changed the core of dimension reduction algorithms to the Tapkee
> * Bugfixes:
> - Fix for shallow copy of gaussian kernel by Matt Aasted.
> - Fixed a bug when using StringFeatures along with kernel machines in
>   cross-validation which cause an assertion error. Thanks to Eric (yoo)!
> - Fix for 3-class case training of MulticlassLibSVM reported by Arya
> Iranmehr
>   that was suggested by Oksana Bayda.
> - Fix for wrong Spectrum mismatch RBF construction in static interfaces
> reported
>   by Nona Kermani.
> - Fix for wrong include in SGMatrix causing build fail on Mac OS X
>   (thanks to @bianjiang).
> - Fixed a bug that caused kernel machines to return non-sense when using
>           custom kernel matrices with subsets attached to them.
> - Fix for parameter dictionary creationg causing dereferencing null
> pointers
>   with gaussian processes parameter selection.
> - Fixed a bug in exact GP regression that caused wrong results.
> - Fixed a bug in exact GP regression that produced memory errors/crashes.
> - Fix for a bug with static interfaces causing all outputs to be
>   -1/+1 instead of real scores (reported by Kamikawa Masahisa).
> * Cleanup and API Changes:
> - SGStringList is now based on SGReferencedData.
> - "confidences" in context of CLabel and subclasses are now "values".
> - CLinearTimeMMD constructor changes, only streaming features allowed.
> - CDataGenerator will soon be removed and replaced by new streaming-
>   based classes.
> - SGVector, SGMatrix, SGSparseVector, SGSparseVector, SGSparseMatrix
>   refactoring: Now contains load/save routines, relevant functions from
>   CMath, and implementations went to .cpp file.

Shogun team
CD: 3ms