linwrapversion

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)

AuthorFrancois Berenger
LicenseBSD-3-Clause
Published
Homepagehttps://github.com/UnixJunkie/linwrap
Issue Trackerhttps://github.com/UnixJunkie/linwrap/issues
Maintainerunixjunkie@sdf.org
Dependencies
Source [http] https://github.com/UnixJunkie/linwrap/archive/v5.0.0.tar.gz
sha256=2e2f573ae5102a575ad70acdeaf84673a0b8ec6eac60dd3601dd79dfddc5c596
md5=3407f24bc31cfdbafa6141aced22ce81
Edithttps://github.com/ocaml/opam-repository/tree/master/packages/linwrap/linwrap.5.0.0/opam
No package is dependent