Wrapper around liblinear-tools

Only L2-regularized logistic regression is supported currently. When using bagging, each model is trained on balanced bootstraps from the training set (one bootstrap for the positive class, one for the negative class). The size of the bootstrap is the size of the smallest (under-represented) class.

usage: linwrap -i <filename>: training set or DB to screen output file C w1 of bags for bagging (default=off) of cross validation random seed set portion (in [0.0:1.0]) set (overrides -p) set (overrides -p) set (overrides -p) mode; use trained models mode; save trained models overwriting existing model file for best C weight to counter class imbalance number of bags (advice: optim. k rather than w)