Cross-validation & ensemble
===========================

Requirements:
Python3

How to use:
copy ranksvm & split to target dir
./train.py -> training with cross-validation or ensemble(line 15)
./genCMC.py -> reference of how to generate a graph(in construction)

to enable mask, add -M <filename> to the end of params in train()<misc.py>

Structure:
./train.py -> training control
./cross.py -> PRSVM+ & cross-validation(onefold)
./ensemble.py -> ensemble RankSVM(onefold)
./misc.py -> various helpers

Next:
Terminating condition
training -> genCMC