01-26-2006
I think you need to give more info - I noticed the ssd on one of your outputs.
What type of server? Are these internal drives to the server or in arrays?
What type of arrays (if they are)?
Where are your metadb state databases (found with metadb command with no options)?
What are the failing partitions? What's on the failing partitions (OS only, OS and Applications - and of course, what applications)?
I'm assuming that SVM was the standard with Solaris 9 - if not, please post the version of it.
Also, what if anything, was changed before you noticed all of this - reboots, upgrades,...etc.?
And you state no errors in messages file - is syslogd running? Do you normally get error messages on this system? Double check that you are looking at the correct file for errors by looking at syslog.conf.
Last edited by RTM; 01-26-2006 at 06:01 PM..
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LEARN ABOUT DEBIAN
svmocas
SVMOCAS(1) General Commands Manual SVMOCAS(1)
NAME
svmocas - train a binary linear SVM classifier
SYNOPSIS
svmocas [options] example_file model_file
DESCRIPTION
svmocas is a program that trains a binary 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+w0. model_file contains d lines, where d is the number of data dimensions. The first n lines are coordinates of w and the last
line is w0.
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)
-C constants_file
If specified, each example has a different regularization constant, taken from the text file constants_file. Each line of the text
file must contain a single constant (positive double) for the corresponding example. If -C is used, then the -c option is ignored.
-b (0|1)
Value of the L2-bias feature. A value of 0 implies not having bias. (default: 0)
-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)
-p integer
Number of threads. (default: 1)
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 binary SVM classifier from riply_trn.light, with the regularization constant C=10, bias switched on, verbosity switched off, and
save model to svmocas.model:
svmocas -c 10 -b 1 -v 0 riply_trn.light svmocas.model
Compute the testing error of the classifier stored in svmocas.model with linclass(1) using testing examples from riply_tst.light and save
the predicted labels to riply_tst.pred:
linclass -e -o riply_tst.pred riply_tst.light svmocas.model
SEE ALSO
msvmocas(1), linclass(1).
AUTHORS
svmocas 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 SVMOCAS(1)