Features GSoC 2016 project of Saurabh Mahindre: Major efficiency improvements for KMeans, LARS, Random Forests, Bagging, KNN. Add new Shogun cookbook for documentation and testing across all target languages [Heiko Strathmann, Sergey Lisitsyn, Esben Sorig, Viktor Gal]. Added option to learn CombinedKernel weights with GP approximate inference [Wu Lin]. LARS now supports 32, 64, and 128 bit floating point numbers [Chris Goldsworthy]. Bugfixes: Fix gTest segfaults with GCC >= 6.0.0 [Björn Esser]. Make Java and CSharp install-dir configurable [Björn Esser]. Autogenerate modshogun.rb with correct module-suffix [Björn Esser]. Fix KMeans++ initialization [Saurabh Mahindre]. Cleanup, efficiency updates, and API Changes: Make Eigen3 a hard requirement. Bundle if not found on system. [Heiko Strathmann] Drop ALGLIB (GPL) dependency in CStatistics and ship CDFLIB (public domain) instead [Heiko Strathmann] Drop p-value estimation in model-selection [Heiko Strathmann] Static interfaces have been removed [Viktor Gal] New base class ShiftInvariantKernel of which GaussianKernel inherits [Rahul De]. NOTE This version contains a new CMake option USE_GPL_SHOGUN, which when set to OFF will exclude all GPL codes from Shogun [Heiko Strathmann].