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1. Solaris
Hello all,
I have a Solaris Disksuite question :-
I will be adding 4 new drives to an E250 server and need will be configuring 2 striped volumes each consisting 2 new disks with SVM. In the end i will have 2 volumes each of 72gb. So in effect i will have 1 volume called D7 and another volume... (6 Replies)
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2. Solaris
I have a SOlaris 10 v240 server. I'm installing disksuite to mirror the root drive D0 to D2. I also have one partition on disk 1 that I want to mirror to D3. I am not using ZFS right now.
Can I add that to my initial mirroring configuration or can I only mirror 1 drive to 1 drive?
Can I... (2 Replies)
Discussion started by: csross
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3. Solaris
Hi
I had a disksuite mirror with two sub-mirrors which I wanted to expand.
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4. Solaris
Hi all,
Do you know where I can download Soltice Disksuite 4.2 for Solaris 2.6 ?
I haven't the CD labeled “Solaris Server Intranet Extensions 1.0” .
Thanks in advance for your precious help.
Bests Regards
Hosni (2 Replies)
Discussion started by: hosni
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5. Solaris
hi all,
i want to mirror two disks with disksuite under solaris 9 , doses smeone can explain me Briefly the essential steps to do that plz ? (3 Replies)
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6. Solaris
Hello,
We have this system a SunFire 280R running Solaris 8 Generic_117350-46. It has 2 36GB disks in it. They are mirrored with DiskSuite 4.2.1.
When we execute a metastat all the devices report an Okay status, but when we go into metatool everything is in the Critical (maintenance)... (4 Replies)
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7. UNIX for Dummies Questions & Answers
We recently got a third party in to upgrade our solaris 8 sparc server to solaris 10.
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8. UNIX for Dummies Questions & Answers
I have a live Sunfire v440 server with 4 drives and I want to mirror drive 0 & 1 to 2 & 3. The on-board raid controller only allows for 1 live mirror. I was thinking of disksuite, but unfortunately the second disk is just one large partition with no free slices.
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9. Solaris
Has anybody every used Solstice DiskSuite? I am having trouble setting it up. I installed it without a problem, but do I really have to blow away the drives on the D1000 just to create a metastate database? (8 Replies)
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10. UNIX for Dummies Questions & Answers
Is this correct if I have to create 2 partions of 100 Gigs each? (spread accross (6) 36 Gig drives)
AVAILABLE DISK SELECTIONS:
0. c0t0d0 <SUN36G cyl 24620 alt 2 hd 27 sec 107>
/pci@1f,4000/scsi@3/sd@0,0
1. c0t1d0 <SUN36G cyl 24620 alt 2 hd 27 sec 107>
... (10 Replies)
Discussion started by: finster
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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)
