01-13-2009
chains - yes you can do hardware raid. however, SVM is still used for RAID objectives under the x86 version of sol10.
also, SVM is used for ufs and other filesystems. however, SVM does not manage zfs.
10 More Discussions You Might Find Interesting
1. UNIX for Dummies Questions & Answers
Can anyone give some answers on what is disk mirroring in Unix? It may be related to unix online backup. (2 Replies)
Discussion started by: asutoshch
2 Replies
2. Filesystems, Disks and Memory
After reading some books, I came across this idea of having a duplicate of your current hard drive on another second hard drive so that if the first hard drive happens to crash, the system can be up and running in quickly
now, is there anybody in here who uses this method at work?? If there is,... (3 Replies)
Discussion started by: IMPORTANT
3 Replies
3. UNIX for Dummies Questions & Answers
I would like to build a new box that has the disk mirrored to another IDE disk on a different channel. Does anyone know if a RAID controller like the Promise is supported under RedHat 8, or should I use a software RAID. (1 Reply)
Discussion started by: 98_1LE
1 Replies
4. Shell Programming and Scripting
Good Morning :)
I have a new challenge to solve, I am going to write a new backup disk mirroring script. The current one, whcih is useing 'dd' caused some stalled systems :(
Currently I am in the phase of experimenting with different methods, I was thinking about dump/restore afio/cpio or... (3 Replies)
Discussion started by: malcom
3 Replies
5. Solaris
Hi
I have two raw disk that I want to mirror and then create soft partition on that. Could someone please help in the steps required
c0t1d0
c0t0d0
Thanks
Ajwat (2 Replies)
Discussion started by: Ajwat
2 Replies
6. Solaris
Hi
I have a Sunfire X4100 box with a 4 disk Chassis (although I only have 2 disks in it). I have been asked to add two more disks into the chassis so that I can mirror the original two using SVM .....Ive read through a couple of SVM docs but am finding it a little confusing, and if any of you... (1 Reply)
Discussion started by: hcclnoodles
1 Replies
7. UNIX for Advanced & Expert Users
How can one mirror disk geometry from one hard disk to another in Solaris.
Is disk snapshot same as a mirror? Pls explain. (3 Replies)
Discussion started by: lexusujx
3 Replies
8. Solaris
Has anyone managed to set up disk mirroring in Solaris 10 yet? If so can you point me in the direction of some useful documentation please.
Cheers (25 Replies)
Discussion started by: korfnz
25 Replies
9. Solaris
Hi Friends,
I am having Sun Solaris 5.8 OS installed having 2 different size hard disk, sizes are c0t0d0s0(160 GB) and c0t2d0s0 (40GB). I have installed Sun Solaris 5.8 OS in c0t0d0s0 (160GB) harddisk.
I have configured all the parameters required for disk mirroring. But when executing... (4 Replies)
Discussion started by: Vijayakumarpc
4 Replies
10. Red Hat
Hi,
How to identify whether the disk is being mirrored or not in RHEL (2 Replies)
Discussion started by: gsiva
2 Replies
LEARN ABOUT DEBIAN
liblinear-train
LIBLINEAR-TRAIN(1) General Commands Manual LIBLINEAR-TRAIN(1)
NAME
liblinear-train - train a linear classifier and produce a model
SYNOPSIS
liblinear-train [options] training_set_file [model_file]
DESCRIPTION
liblinear-train trains a linear classifier using liblinear and produces a model suitable for use with liblinear-predict(1).
training_set_file is the file containing the data used for training. model_file is the file to which the model will be saved. If
model_file is not provided, it defaults to training_set_file.model.
To obtain good performances, sometimes one needs to scale the data. This can be done with svm-scale(1).
OPTIONS
A summary of options is included below.
-s type
Set the type of the solver:
0 ... L2-regularized logistic regression
1 ... L2-regularized L2-loss support vector classification (dual) (default)
2 ... L2-regularized L2-loss support vector classification (primal)
3 ... L2-regularized L1-loss support vector classification (dual)
4 ... multi-class support vector classification
5 ... L1-regularized L2-loss support vector classification
6 ... L1-regularized logistic regression
7 ... L2-regularized logistic regression (dual)
-c cost
Set the parameter C (default: 1)
-e epsilon
Set the tolerance of the termination criterion
For -s 0 and 2:
|f'(w)|_2 <= epsilon*min(pos,neg)/l*|f'(w0)_2, where f is
the primal function and pos/neg are the number of positive/negative data
(default: 0.01)
For -s 1, 3, 4 and 7:
Dual maximal violation <= epsilon; similar to libsvm (default: 0.1)
For -s 5 and 6:
|f'(w)|_inf <= epsilon*min(pos,neg)/l*|f'(w0)|_inf, where f is the primal
function (default: 0.01)
-B bias
If bias >= 0, then instance x becomes [x; bias]; if bias < 0, then
no bias term is added (default: -1)
-wi weight
Weight-adjusts the parameter C of class i by the value weight
-v n n-fold cross validation mode
-q Quiet mode (no outputs).
EXAMPLES
Train a linear SVM using L2-loss function:
liblinear-train data_file
Train a logistic regression model:
liblinear-train -s 0 data_file
Do five-fold cross-validation using L2-loss SVM, using a smaller stopping tolerance 0.001 instead of the default 0.1 for more accurate
solutions:
liblinear-train -v 5 -e 0.001 data_file
Train four classifiers:
positive negative Cp Cn
class 1 class 2,3,4 20 10
class 2 class 1,3,4 50 10
class 3 class 1,2,4 20 10
class 4 class 1,2,3 10 10
liblinear-train -c 10 -w1 2 -w2 5 -w3 2 four_class_data_file
If there are only two classes, we train ONE model. The C values for the two classes are 10 and 50:
liblinear-train -c 10 -w3 1 -w2 5 two_class_data_file
Output probability estimates (for logistic regression only) using liblinear-predict(1):
liblinear-predict -b 1 test_file data_file.model output_file
SEE ALSO
liblinear-predict(1), svm-predict(1), svm-train(1)
AUTHORS
liblinear-train was written by the LIBLINEAR authors at National Taiwan university for the LIBLINEAR Project.
This manual page was written by Christian Kastner <debian@kvr.at>, for the Debian project (and may be used by others).
March 08, 2011 LIBLINEAR-TRAIN(1)