12-14-2011
Why dont you using SVM? You can expand the FS with growfs. VXvm is the powerfull VM, but in case of local rootdisk, easy to use SVM. The best solution for Solaris root disk is SVM, except ZFS. IMHO
Last edited by rua; 12-14-2011 at 06:02 AM..
Reason: add
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Dear All ,
Pl find the below command ,
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Volume:c1t0d0
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#
raidctl -l c1t0d0
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LEARN ABOUT DEBIAN
msvmocas
MSVMOCAS(1) General Commands Manual MSVMOCAS(1)
NAME
msvmocas - train a multi-class linear SVM classifier
SYNOPSIS
msvmocas [options] example_file model_file
DESCRIPTION
msvmocas is a program that trains a multi-class linear SVM classifier using the Optimized Cutting Plane Algorithm for Support Vector
Machines (OCAS) and produces a model file.
example_file is a file with training examples in SVM^light format, and model_file is the file in which to store the learned linear rule
f(x)=W'*x. model_file contains M columns and D lines, where M is the number of classes and D the number of dimensions, corresponding to the
elements of the matrix W [D x M].
OPTIONS
A summary of options is included below.
General options:
-h Show summary of options.
-v (0|1)
Set the verbosity level (default: 1)
Learning options:
-c float
Regularization constant C. (default: 1)
-n integer
Use only the first integer examples for training. By default, integer equals the number of examples in example_file.
Optimization options:
-m (0|1)
Solver to be used:
0 ... standard cutting plane (equivalent to BMRM, SVM^perf)
1 ... OCAS (default)
-s integer
Cache size for cutting planes. (default: 2000)
Stopping conditions:
-a float
Absolute tolerance TolAbs: halt if QP-QD <= TolAbs. (default: 0)
-r float
Relative tolerance TolAbs: halt if QP-QD <= abs(QP)*TolRel. (default: 0.01)
-q float
Desired objective value QPValue: halt is QP <= QPValue. (default: 0)
-t float
Halts if the solver time (loading time is not counted) exceeds the time given in seconds. (default: infinity)
EXAMPLES
Train the multi-class SVM classifier from example file example4_train.light, with the regularization constant C=10, verbosity switched off,
and save model to msvmocas.model:
msvmocas -c 10 -v 0 example4_train.light msvmocas.model
Compute the testing error of the classifier stored in msvmocas.model with linclass(1) using testing examples from example4_test.light and
save the predicted labels to example4_test.pred:
linclass -e -o example4_test.pred example4_test.light msvmocas.model
SEE ALSO
svmocas(1), linclass(1).
AUTHORS
msvmocas was written by Vojtech Franc <xfrancv@cmp.felk.cvut.cz> and Soeren Sonnenburg <Soeren.Sonnenburg@tu-berlin.de>.
This manual page was written by Christian Kastner <debian@kvr.at>, for the Debian project (and may be used by others).
June 16, 2010 MSVMOCAS(1)