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
multiclass heuristics for probabilistic outputs estimations
added unit-test
dropped SGVector reference
list a summary of failed tests at the end
updated QDA and MCLDA examples to use the DataGenerator class
Update classifier_lda.cpp
Update classifier_lda.cpp
Updated MCLDS.cpp (just tabs)
Merge pull request #996 from pickle27/lda_multiclass

Issue #870 WIP LDA with native multiclass support
Replaced dynamic_cast with obtain_from_generic in FITCInferenceMethod class
Updated tapkee library

- Proper non-negativity checks in parameters
- VP-tree neighbors method
- Some minor fixes
Fixed include in vptree
fixed memory access issue in MCLDA.cpp
Merge pull request #1063 from pickle27/lda_multiclass

fixed memory access issue in MCLDA.cpp