#ADA-BOOST Adaptive boosting algorithm implementation in C++
TRAINING MODULE
Usage: train.exe [options] train_file [model_file]
options:
-f fast thresholding mode: all features must be normalized to (0,1)
0 -- disable fast mode(default)
1 -- enable fast mode
-s fast mode threholding pool size: quantized threshold number(default 100)
-a accuracy: target accuracy(default 0.95)
-i iteration: maximum iteration(default 1000)
TESTING MODULE
Usage: test.exe test_file model_file predict_file