07-12-2009
You have to enter the metadevice # not a softpartition (as root)
sudo metarecover -v -n d208 -p
Verifying on-disk structures on d208.
found incorrect magic number 207d100, expected 20000127.
No extent headers found on d208.
d208: On-disk structures invalid or no soft partitions found.
metarecover: max: d0: bad magic number in extent header
[ss0747@xxx] ~/scripts$ sudo metarecover -v -n d200 -p
Verifying on-disk structures on d200.
The following extent headers were found on d200.
Name Seq# Type Offset Length
d201 0 ALLOC 0 4194305
d202 0 ALLOC 4194305 4194305
d203 0 ALLOC 8388610 7233537
d204 0 ALLOC 15622147 4194305
d205 0 ALLOC 19816452 4194305
d206 0 ALLOC 24010757 4194305
d208 0 ALLOC 32399367 18874369
NONE 0 END 98933151 1
NONE 0 FREE 95313934 3619217
Found 11 soft partition(s) on d200.
Checking sequence numbers.
d200: Validating soft partition metadb entries.
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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)