Hi
I have a log file, I am having problem with "if else" loop in my perl script which does, find a string in that file ,If that string is found append to success.txt else append it to failed.txt.
problem is: else part of loop it is not working
I am adding problem part of the script.
... (4 Replies)
hi
one perl issue i have xml file with 2 values and one condition b.w them
<rule>
<val1>12</val1>
<cond>and</cond>
<val2>13</val2>
</rule>
i read these values in hash in perl code
$one{val1} = 12
$one{cond} = and
$one{val2} = 13
now i want to form... (3 Replies)
Please help me with my script please. I am trying to do the following:
1. Read files for the current directory
2. Open and read from nbe files files only
3. Read only the lines with the results pattern
4. Split the line and print 3rd field
Please indicate what line I need to modify. ... (8 Replies)
Hi,
I got this script from the web, this generates an LDAP report in CSV format.
#!/usr/bin/perl
#
# Copyright (c) 2004
# Ali Onur Cinar &060;cinar&064;zdo.com&062;
#
# License:
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for... (23 Replies)
Hi Team,
the Following program execute with out error but the out is not save with create2.txt. kindly help me!!!
print "Enter your Number \n";
my $name = <STDIN>;
if ($name =="*91111*")
{
@dirlist1 = `wc -l $name > create2.txt`;
}
else {print "do not match";} (3 Replies)
Hi,
I have a menu script written in PERL which calls some shell scripts and displays the return.
I'm having a problem with OPEN. A section of the code is below:
`./scriptlist.ksh 1`;
open OUTPUT, "</home/$SCRIPTUSER/output";
{
local $/ = undef;
$_ =... (2 Replies)
I am getting a out of memory issue while executing the perl program.
Per version : /opt/acc_perl/lib/site_perl/5.14.2
Read in 54973 total records
Read in 54973 table records from table.
Out of memory!
so the job get failed due to out of memory. need to get rid of the out of memory... (3 Replies)
I have a perl that is sending emails in a bad format:
"begin 644 Included.doc
M*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ
M*BHJ*BHJ*BHJ*BH*4U5#0T534T953"!-1$XG<R!F;W(@07)C:&EV92!022`M
M($-A;F-E;`HJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ*BHJ... (1 Reply)
Discussion started by: mrn6430
1 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)