svm_model.1

来自「机器学习工具：非常流行的一种分类器」· 1 代码 · 共 47 行

.\" DO NOT MODIFY THIS FILE!  It was generated by help2man 1.23.
.TH SVM_MODEL "1" "August 2002" "svm_model of 0.09" TinySVM
.SH NAME
svm_model \- manual page for svm_model of 0.09
.SH SYNOPSIS
.B svm_model
[\fIoptions\fR] \fImodel-file\fR
.SH DESCRIPTION
TinySVM - tiny SVM package
Copyright (C) 2000-2002 Taku Kudo, All rights reserved.
.SS "options:"
.TP
\fB\-n\fR, \fB\-\-sv\-num\fR
show number of Support Vectors.
.TP
\fB\-b\fR, \fB\-\-bsv\-num\fR
show number of bounded Support Vectors.
.TP
\fB\-l\fR, \fB\-\-loss\fR
show L1 loss. (Empirical Risk.)
.TP
\fB\-t\fR, \fB\-\-training\-size\fR
show the size of original trainig data
.HP
\fB\-\-training\-num\fR
.TP
\fB\-m\fR, \fB\-\-margin\fR
show estimated margin.
.TP
\fB\-d\fR, \fB\-\-vc\-dimension\fR
show estimated VC dimension.
.TP
\fB\-x\fR, \fB\-\-xi\-alpha\fR
show estimated xi-alpha value.
.TP
\fB\-X\fR, \fB\-\-xi\-alpha\-rho\fR=\fIFLOAT\fR set FLOAT for rho of xi-alpha estimator.
(default 2.0).
.TP
\fB\-v\fR, \fB\-\-version\fR
show the version of TinySVM and exit.
.TP
\fB\-h\fR, \fB\-\-help\fR
show this help and exit.
.PP
TinySVM - tiny SVM package
Copyright (C) 2000-2002 Taku Kudo, All rights reserved.