started reimplementation of GoldStandardExtractor to solve ILP on GoldStandardCostFunction
Provisional changes for structured learning. Main purpose was to write features, labels and constraints for structured learning with sbmrm. Some cleanup remains to be done.
merged binary struc_learn_prep into sopnet
bugfix: inputs need to be updated before writing structured problem
implemented GoldStandardCostFunction
removed ProblemAssembler from GoldStandardExtractor (not needed)
added segment id to features painter
made NeuronExtractor less verbose
updated pipeline and signals
added debugging output to Sopnet pipeline creation
removed warnings
updated signals
redesigned features to discriminate between end (e) and continuation and branch (c&b)
updated signals
bugfix: allocated features had wrong size
bugfix: StackSliceExtractor did not create output data
updated signals
Code clean up.

Conflicts:

	binaries/struc_learn_prep.cpp
removed obsolete classes
Changed program option description