01-06-2010
10 More Discussions You Might Find Interesting
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4. Solaris
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6. UNIX for Advanced & Expert Users
Hi,
I have 2 hosts with Veritas VxVM and VxFS (5.0 MP3_RP2). I need to use the application filesystem's luns from these 2 hosts and mount it on another 2 hosts that are running Solaris 9 09/05 and SVM.
Is there resources online or has someone tried this? (0 Replies)
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7. Solaris
Hi,
I have 2 hosts with Veritas VxVM and VxFS (5.0 MP3_RP2). I need to use the application filesystem's luns from these 2 hosts and mount it on another 2 hosts that are running Solaris 9 09/05 and SVM.
Is there resources online or has someone tried this? (4 Replies)
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8. Solaris
hi all,
how can we check whether vxvm is installed in our system or not in solaris?
Thanks in advance
dinu (4 Replies)
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9. Programming
I think both write at the end of the file ......
but is there a sharp difference between those 2 instruction .....
thank you
this is my 3rd question today forgive me :D (1 Reply)
Discussion started by: fwrlfo
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10. Shell Programming and Scripting
In the awk I am trying to subtract the difference $3-$2 of each matching $4 before the first _ (underscore) and print that value in $13.
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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)