10 More Discussions You Might Find Interesting
1. Solaris
Dear All,
I face some errors in SVM.Need help.
Actually couple of days ago i got a call from one of the customer mentioning that one of the sub-mirror was in Need maintance state. So we replaced that disk. After Replacing the disk it comes back to "Okay" State.
But the Error are... (3 Replies)
Discussion started by: sudhansu
3 Replies
2. Solaris
Hello
I want to ask that how to mount and run fsck in SVM disk.In my scenario if i have to disks c0t0d0 and c0t1d0 these two disks are in Mirroring (raid1) if i want to run fsck on the disks than below are the right steps?
ok boot cdrom -s
mount /dev/dsk/c0t0d0s0 /a
cd /a
fsck... (3 Replies)
Discussion started by: jhonnybravo
3 Replies
3. UNIX for Advanced & Expert Users
Hi All,
I want to know what is the Interlace value in SVM and what is the need of this ?
regards,
prashant (1 Reply)
Discussion started by: prashant2507198
1 Replies
4. UNIX for Advanced & Expert Users
How to list out multiple Disk sets in SVM
# metaset -s <disksetname> --- This will list out only one diskset
but I need a list of disk sets configured for the node.
Is there any command,please let me know ...
Thanks in advance. (1 Reply)
Discussion started by: pramath
1 Replies
5. Solaris
HI,
I added by error to a submirror some disks :
metattach d53 c2t90d0s0 c2t90d1s0 ... instead of doing a stripe by disk (like that) :
metattach d53 c2t90d0s0
metattach d53 c2t90d1s0
..
then, I did a growfs -M to expand FS and the size isn't correct.
I tried to launch a... (1 Reply)
Discussion started by: phil.nakache
1 Replies
6. UNIX for Dummies Questions & Answers
i have taken two separate disk
A and B
created 4 slices in each
A b
s4 s4
s5 s5
s6 s6
s7 s7
took slices s4 of A and slice s6 0f B ---created a meta device d0
took slices s4 of B and slice s6 0f A---created a meta device d1
created main mirror d2 using d0... (1 Reply)
Discussion started by: vivek_ng
1 Replies
7. Solaris
I am trying to set up a new server. It has 8 HD's in it. I am using 2 for the system disk. IE set one up mirror to the other. I am using the other 6 as data disks. For those I want to concat 3 together, mirror to the other 3 (also concated together of course) and then make various soft... (7 Replies)
Discussion started by: NewSolarisAdmin
7 Replies
8. Solaris
Really sorry for the long posting. But i would really want to clear all the doubts.
I have 2 disk c0t0d0 & c0t1d0, i wanted to mirror c0t1d0 (mirror) to c0t0d0 (main).
Creating state database replica:
metadb -a -c3 -f c0t0d0s7
... (3 Replies)
Discussion started by: beginningDBA
3 Replies
9. Solaris
gurus,
i have configured the LUN's in solaris 10.after labeled the disk,i have added the disk into one of the soft partition using metattach d0 c5t1000d10s6.actully before that i should confiure the powermt and than i should have add metattch d0 emcpowerc2.i forget to do that and increased... (0 Replies)
Discussion started by: rjay.com
0 Replies
10. Solaris
Hi All,
I have to remove the disk from SVM.
Kindly guide me or suggest me some link where in I can steps to remove SVM from Solaris 10 .Also I have one metaset which require deletion.
Thanks in anticipation! (10 Replies)
Discussion started by: kumarmani
10 Replies
svm-predict(1) User Manuals svm-predict(1)
NAME
svm-predict - make predictions based on a trained SVM model file and test data
SYNOPSIS
svm-predict [ -b probability_estimates ] [ -q ] test_data model_file [ output_file ]
DESCRIPTION
svm-predict uses a Support Vector Machine specified by a given input model_file to make predictions for each of the samples in test_data
The format of this file is identical to the training_data file used in svm_train(1) and is just a sparse vector as follows:
<label> <index1>:<value1> <index2>:<value2> . . .
.
.
.
There is one sample per line. Each sample consists of a target value (label or regression target) followed by a sparse representation of
the input vector. All unmentioned coordinates are assumed to be 0. For classification, <label> is an integer indicating the class label
(multi-class is supported). For regression, <label> is the target value which can be any real number. For one-class SVM, it's not used so
can be any number. Except using precomputed kernels (explained in another section), <index>:<value> gives a feature (attribute) value.
<index> is an integer starting from 1 and <value> is a real number. Indices must be in an ASCENDING order. If you have label data avail-
able for testing then you can enter these values in the test_data file. If they are not available you can just enter 0 and will not know
real accuracy for the SVM directly, however you can still get the results of its prediction for the data point.
If output_file is given, it will be used to specify the filename to store the predicted results, one per line, in the same order as
the test_data file.
OPTIONS
-b probability-estimates
probability_estimates is a binary value indicating whether to calculate probability estimates when training the SVC or SVR model.
Values are 0 or 1 and defaults to 0 for speed.
-q quiet mode; suppress messages to stdout.
FILES
training_set_file must be prepared in the following simple sparse training vector format:
<label> <index1>:<value1> <index2>:<value2> . . .
.
.
.
There is one sample per line. Each sample consist of a target value (label or regression target) followed by a sparse representation of
the input vector. All unmentioned coordinates are assumed to be 0. For classification, <label> is an integer indicating the class label
(multi-class is supported). For regression, <label> is the target value which can be any real number. For one-class SVM, it's not used so
can be any number. Except using precomputed kernels (explained in another section), <index>:<value> gives a feature (attribute) value.
<index> is an integer starting from 1 and <value> is a real number. Indices must be in an ASCENDING order.
ENVIRONMENT
No environment variables.
DIAGNOSTICS
None documented; see Vapnik et al.
BUGS
Please report bugs to the Debian BTS.
AUTHOR
Chih-Chung Chang, Chih-Jen Lin <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging)
SEE ALSO
svm-train(1), svm-scale(1)
Linux MAY 2006 svm-predict(1)
