Hi Friends,
Can any of you explain me about the below line of code?
mn_code=`env|grep "..mn"|awk -F"=" '{print $2}'`
Im not able to understand, what exactly it is doing :confused:
Any help would be useful for me.
Lokesha (4 Replies)
Hi all,
can any one suggest me the script to grep multiple strings from ps -ef
pls correct the below script . its not working/
i want to print OK if all the below process are running in my solaris system. else i want to print NOT OK.
bash-3.00$ ps -ef | grep blu
lscpusr 48 42 ... (11 Replies)
Hi,
I have line in input file as below:
3G_CENTRAL;INDONESIA_(M)_TELKOMSEL;SPECIAL_WORLD_GRP_7_FA_2_TELKOMSEL
My expected output for line in the file must be :
"1-Radon1-cMOC_deg"|"LDIndex"|"3G_CENTRAL|INDONESIA_(M)_TELKOMSEL"|LAST|"SPECIAL_WORLD_GRP_7_FA_2_TELKOMSEL"
Can someone... (7 Replies)
logs:
"/home/abc/public_html/index.php"
"/home/abc/public_html/index.php"
"/home/xyz/public_html/index.php"
"/home/xyz/public_html/index.php"
"/home/xyz/public_html/index.php"
how to use "cut" or "awk" or "sed" to get the following result:
abc
abc
xyz
xyz
xyz (8 Replies)
The system don't boot.
on the screen appears following:
press enter to maintenance (or type CTRL-D to continue)...I checked with format command.
... the slices "0-root","1-swap","2-backup" exist.
...the slises "3-var","6-usr" -unassigned. :( (16 Replies)
How to use "mailx" command to do e-mail reading the input file containing email address, where column 1 has name and column 2 containing “To” e-mail address
and column 3 contains “cc” e-mail address to include with same email.
Sample input file, email.txt
Below is an sample code where... (2 Replies)
Hello.
System : opensuse leap 42.3
I have a bash script that build a text file.
I would like the last command doing :
print_cmd -o page-left=43 -o page-right=22 -o page-top=28 -o page-bottom=43 -o font=LatinModernMono12:regular:9 some_file.txt
where :
print_cmd ::= some printing... (1 Reply)
Hi 2 all,
i have had AIX 7.2
:/# /usr/IBMAHS/bin/apachectl -v
Server version: Apache/2.4.12 (Unix)
Server built: May 25 2015 04:58:27
:/#:/# /usr/IBMAHS/bin/apachectl -M
Loaded Modules:
core_module (static)
so_module (static)
http_module (static)
mpm_worker_module (static)
... (3 Replies)
Discussion started by: penchev
3 Replies
LEARN ABOUT PHP
svm
SVM(3) 1 SVM(3)The SVM classINTRODUCTION CLASS SYNOPSIS
SVM
SVM
Constants
o const integer$SVM::C_SVC0
o const integer$SVM::NU_SVC1
o const integer$SVM::ONE_CLASS2
o const integer$SVM::EPSILON_SVR3
o const integer$SVM::NU_SVR4
o const integer$SVM::KERNEL_LINEAR0
o const integer$SVM::KERNEL_POLY1
o const integer$SVM::KERNEL_RBF2
o const integer$SVM::KERNEL_SIGMOID3
o const integer$SVM::KERNEL_PRECOMPUTED4
o const integer$SVM::OPT_TYPE101
o const integer$SVM::OPT_KERNEL_TYPE102
o const integer$SVM::OPT_DEGREE103
o const integer$SVM::OPT_SHRINKING104
o const integer$SVM::OPT_PROPABILITY105
o const integer$SVM::OPT_GAMMA201
o const integer$SVM::OPT_NU202
o const integer$SVM::OPT_EPS203
o const integer$SVM::OPT_P204
o const integer$SVM::OPT_COEF_ZERO205
o const integer$SVM::OPT_C206
o const integer$SVM::OPT_CACHE_SIZE207
Methods
o public SVM::__construct (void )
o public float svm::crossvalidate (array $problem, int $number_of_folds)
o public array SVM::getOptions (void )
o public bool SVM::setOptions (array $params)
o public SVMModel svm::train (array $problem, [array $weights])
PREDEFINED CONSTANTS SVM CONSTANTS
o SVM::C_SVC -The basic C_SVC SVM type. The default, and a good starting point
o SVM::NU_SVC -The NU_SVC type uses a different, more flexible, error weighting
o SVM::ONE_CLASS -One class SVM type. Train just on a single class, using outliers as negative examples
o SVM::EPSILON_SVR -A SVM type for regression (predicting a value rather than just a class)
o SVM::NU_SVR -A NU style SVM regression type
o SVM::KERNEL_LINEAR -A very simple kernel, can work well on large document classification problems
o SVM::KERNEL_POLY -A polynomial kernel
o SVM::KERNEL_RBF -The common Gaussian RBD kernel. Handles non-linear problems well and is a good default for classification
o SVM::KERNEL_SIGMOID -A kernel based on the sigmoid function. Using this makes the SVM very similar to a two layer sigmoid based
neural network
o SVM::KERNEL_PRECOMPUTED -A precomputed kernel - currently unsupported.
o SVM::OPT_TYPE -The options key for the SVM type
o SVM::OPT_KERNEL_TYPE -The options key for the kernel type
o SVM::OPT_DEGREE -
o SVM::OPT_SHRINKING -Training parameter, boolean, for whether to use the shrinking heuristics
o SVM::OPT_PROBABILITY -Training parameter, boolean, for whether to collect and use probability estimates
o SVM::OPT_GAMMA -Algorithm parameter for Poly, RBF and Sigmoid kernel types.
o SVM::OPT_NU -The option key for the nu parameter, only used in the NU_ SVM types
o SVM::OPT_EPS -The option key for the Epsilon parameter, used in epsilon regression
o SVM::OPT_P -Training parameter used by Episilon SVR regression
o SVM::OPT_COEF_ZERO -Algorithm parameter for poly and sigmoid kernels
o SVM::OPT_C -The option for the cost parameter that controls tradeoff between errors and generality - effectively the penalty for
misclassifying training examples.
o SVM::OPT_CACHE_SIZE -Memory cache size, in MB
PHP Documentation Group SVM(3)