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Its now possible to use Custom kernels for statistical testing. This way, recomputing kernel matrices is avoided which massively speeds up for example bootstrapping or multiple computations of statistics
-added permute method to SGVector (method this time, non-static)
-added test for custom kernel subsetting (was missing before)
-new bootstrapping method for CKernelTwoSampleTestStatistic
-extended example with new CustomKernel case
-MMD statistics now dont precompute kernel themselves, instead they just call kernel() method, (if a custom kernel is used then nothing is computed)