make regression module compatible with rank loss, now support weighted loss
new AUC evaluator, now compatible with weighted loss
new AUC code
add pairwise rank first version
add rank
use omp parallel sortting
add pre @ n
add softmax
lambda rank added
fix some bugs in linux
Update xgboost_omp.h
cleanup of evaluation metric, move c++11 codes into sample.h for backup, add lambda in a clean way latter
Merge branch 'dev' of ssh://github.com/tqchen/xgboost into dev
add new combine tool as promised
pass test
try python
important change to regrank interface, need some more test
ok
good
finish matrix