Changed typo in GP regression from RETURN_TYPE_MEAN to RETURN_TYPE_COV
Added a wrapper for the t-SNE DR method; added an integration test for it (black-listed for now).
Graphical example for SparseInverseCovariance utility class that estimates sparse inverse covariance by given covariance matrix. Plots a heat map and the graphs of dependency between variables
Fixed bug with negative values for the variance
Merge branch 'develop' of https://github.com/shogun-toolbox/shogun into develop
Fix for issue #1023 Fix for compiling python_modular on FreeBSD Add new --swig command line argument for ./configure script to be able to define the actual swig executable to use
remove inverse_covariance_estimation_demo.py from python_modulat directory
 Graphical example for SparseInverseCovariance utility class that estimates sparse inverse covariance by given covariance matrix. A heat map and the graphs of dependency between variables are plotted.
Added test case for GP regression, which checks negative value for the variance
Merge pull request #1030 from votjakovr/develop

Fixed bug with negative values for the variance in GP regression
fix typos
return svm bias in serialization example for all types
update news
Merge pull request #1027 from vladislav-horbatiuk/vgorbati-develop

Added a wrapper for the t-SNE DR method; added an integration test for it (black-listed for now).
Ported a few improvements from tapkee
Refactoring: loop replace
Refactoring: loop replace
-moved sigmoid fitting of BinaryLabels to CStatistics and make BinaryLabels use it
-updated/added unit-tests
Merge pull request #1035 from monicadragan/master

Issue #863: Add sparse inverse covariance graphical example - dev branch
Merge pull request #1038 from karlnapf/develop

fit sigmoid refactoring