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Manpage of SVM_LEARN
SVM_LEARN
Section: TinySVM (1)
Updated: December 2000
Index
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NAME
svm_learn - manual page for svm_learn of 0.01
SYNOPSIS
svm_learn
[options] training-file model-file
DESCRIPTION
TinySVM - tiny SVM package
Copyright (C) 2000 Taku Kudoh All rights reserved.
Kernel Parameter:
- -t, --kernel-type=TYPE
-
select type of kernel function.
TYPE: 0 - linear (w * x) (default)
-
1 - polynomial (s w*x + r)^d
- -d, --kernel-degree=INT
-
set INT for parameter d in polynomial kernel. (default 1)
- -r, --kernel-param-r=FLOAT
-
set FLOAT for parameter r in polynomial kernel. (default 1)
- -s, --kernel-param-s=FLOAT
-
set FLOAT for parameter s in polynomial kernel. (default 1)
Optimization Parameter:
- -m, --cache-size=FLOAT
-
set FLOAT for cache memory size (MB). (default 40.0)
- -c, --cost=FLOAT
-
set FLOAT for cost C of constraints violation,
trade-off between training error and margin. (default 1.0)
- -e, --termination-criterion=FLOAT
-
set FLOAT for tolerance of termination criterion.
(default 0.001)
- -H, --shrinking-size=INT
-
set INT for number of iterations a variable needs to
be optimal before considered for shrinking. (default 100)
- -p, --shrinking-threshold=FLOAT
-
set FLOAT for threshold value of recursive-shrinking process.
if #working/#current becomes less than FLOAT,
rebuilding kernel cache. (default 0.8)
- -f, --do-final-check=INT
-
do final optimality check for variables removed
by shrinking. (default 1)
Miscellaneous:
- -o, --sv-index-file=FILE
-
write SV indices to FILE.
- -V, --verbose
-
set verbose mode.
- -v, --version
-
show the version of TinySVM and exit.
- -h, --help
-
show this help and exit.
TinySVM - tiny SVM package
Copyright (C) 2000 Taku Kudoh All rights reserved.
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- Kernel Parameter:
-
- Optimization Parameter:
-
- Miscellaneous:
-
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Time: 15:39:23 GMT, December 08, 2000