multiclass lda initial commit, algorithm is working. ouptut is confirmed to match scikit learn, I would assume that more work is required to integrate this new class into shogun fully
MCLDA fixed the bug that caused a memory error on more complicated data
Update MCLDA.h

fixed the tabs in MCLDA.h
Update MCLDA.cpp

fixed tabbing in MCLDA.cpp
Update MCLDA.cpp
Update MCLDA.cpp
Import SFMT PRNG
Create class for PRNG
wrapper class for SFMT
Add --mexp and HAVE_SSE2 defines in ./configure
Add parameters of Random and add HAVE_PTHREAD macro check
Make Random unserializable
Create a global Random object in init
SFMT: add corrent shogun path for includes
Several changes in Random PRNG API
move state check in the lock part to avoid invalid state checks
inline reinit() for faster running time
add set/get function for seed
add max macros for RAND_32 and RAND_64
Change CMath's PRNG generator
Use CMath::random() in all other CMath::random functions
Add -I. into test_mexp() function in configure
fixed compilation with python3 bindings
FeatureBlockLogisticRegression example
Fixes #660: Hack to fix double-free (simply setting features to NULL).