changed create_merged_copy to work with multiple feature objects and added implementation for DenseFeatures
removed create_merged_copy example and added a test for combined features and dense features instead
Merge pull request #887 from karlnapf/master

added a new create_merged_features method
removed prints
corrected get_name
added simulate_h0 method to two-distribution based test statistics, which allows to sample the null hypothesis. This has to be handled in all methods that compute a statistic. Added handling for linear and quadratic time MMD. Changed the bootstrap_null method to use this flag
moved simulate_h0 flag to linear time MMD since in the case where data is stored, permuting it is easy: data is stored in one single feature object
Merge pull request #888 from karlnapf/master

better handling of null distribution sampling for linear time mmd
removed a print
made setter inline
fixed a bug that caused non-termination
fixed a memory leak
made a proper kernel selection example since tests are now somewhere else
some small updates
a first proper mmd kernel selection example in python
Merge pull request #889 from karlnapf/master

some first proper examples for kernel selection
re-added initialisation for current vector which prevents double free segfaults when streaming from fixed data in memory
moved SG_REF to a nicer place
removed prints
-removed KernelToCombinedKernel and replaced by a (proper) obtain_from_generic
-some better error messages
-added possibility to init with single features which are then applied to all subkernels (needed by MMD stuff)