my first unit-test to ensure that Gaussian blobs data is produced roughly the right way
examples work again so use them
Merge pull request #876 from karlnapf/master

my first unit test
fix compile error / forgotten glpk include
require single thread usage & initialize rnd number generator
added epsilon and tube_epsilon for model selection
Merge pull request #877 from karlnapf/master

added epsilon and tube_epsilon for model selection
Made new kernel selection methods for linear time MMD available under modular interfaces.
Includes some other minor changes
Merge pull request #878 from karlnapf/master

kernel selection for linear time mmd for modular interfaces
Ignore gcda file extension
Fixed totally wrong tapkee integration feature access callback
Added gcda for clear target
Removed unnecessary and memory-wise wrong distance initialization in laplacian eigenmaps
add eclipse project file
Fix serialization of Sparse features

- remove inplace (de-)constructors for SGSparse
- add malloc support for SGSparseVector<T>
- enable unit test for sparse feature serialization
Commented out unused projecting functions to avoid unhandled memory
Fixed lost nullspace shift in LLTSA
renamed test
unit tests for kernel selection
Merge branch 'mmd_kernel_selection'