package linwrap

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Wrapper around liblinear-tools

Install

Dune Dependency

Authors

Maintainers

Sources

v8.0.0.tar.gz
sha256=a1d5eca6cb3952c776cb8ee13dd406ed0bb406e67c1de380b50a6eec0d1ae6b3
md5=d8315c38c9db46d0e7762a754ee98f11

Description

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 : training set or DB to screen [-o ]: predictions output file [-np ]: ncores [-c ]: fix C [-w ]: fix w1 [-k ]: number of bags for bagging (default=off) [-n ]: folds of cross validation [--seed ]: fix random seed [-p ]: training set portion (in [0.0:1.0]) [--train <train.liblin>]: training set (overrides -p) [--valid <valid.liblin>]: validation set (overrides -p) [--test <test.liblin>]: test set (overrides -p) [{-l|--load} ]: prod. mode; use trained models [{-s|--save} ]: train. mode; save trained models [-f]: force overwriting existing model file [--scan-c]: scan for best C [--scan-w]: scan weight to counter class imbalance [--scan-k]: scan number of bags (advice: optim. k rather than w)

Published: 06 Aug 2020

README

linwrap

wrapper on top of liblinear-tools

Dev Dependencies

None

Used by

None

Conflicts

None

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