Thank you for the reply . There is one slight issue left. With your command I got rid of the first, third and fifth line and also from the first number ( 0 ). I am a "very" beginner and this is why I am asking.
80282 Severe myopia contributed to Ron's inferiority complex.
42906 Dolphins are intelligent marine mammals.
44544 Don't ask me to carry an oily rag like that.
Code:
train/dr4/fklc0/sx175.txt
0 80282 Severe myopia contributed to Ron's inferiority complex.
train/dr4/fklc0/sx355.txt
0 42906 Dolphins are intelligent marine mammals.
train/dr4/fklc0/sa2.txt
0 44544 Don't ask me to carry an oily rag like that.
but I still have the others. This is my outpur in test2.txt:
Code:
80282 Severe myopia contributed to Ron's inferiority complex.
42906 Dolphins are intelligent marine mammals.
44544 Don't ask me to carry an oily rag like that.
I have to find the number of rows in a file and delete those many rows in another file.
For example, if I have 3 rows in a file A, i have to delete first 3 rows in anothe file B,
I have the code, it works as standalone, when I merge this with m application (c with unix), it doesnt work.
... (2 Replies)
I have a file which will have rows like shown below,
ST*820*316054716
RMR*IV*11333331009*PO*40.31
REF*IV*22234441009*xsss471-2762
DTM*003*091016
ENT*000006
RMR*IV*2222234444*PO*239.91
REF*IV*1234445451009*LJhjlkhkj471-2762 </SPAN>
DTM*003*
091016
RMR*IV*2223344441009*PO*40.31... (18 Replies)
Hello. I have the following issue: my txt file has the following format:
train/dr4/fklc0/sx175.txt 0 80282 Severe myopia contributed to Ron's inferiority complex. train/dr4/fklc0/sx355.txt 0 42906 Dolphins are intelligent marine mammals. train/dr4/fklc0/sa2.txt
With the... (1 Reply)
Hi,
I have a file will 1000 lines.... I want to deleted some line in the file... like 800-850 lines i want to remove in that...
can somebody help me..?
thanks. (2 Replies)
Well here is my question.
Let's say I have this Script:
find /var/mobile/ maxdepth -2 name "$x" >> /"$x".txt
The thing is I want to repeat this script and pull out a variable from a text file like this (each line = new variable $x and another run of the whole command)
Thanks for... (27 Replies)
I want to add/append the info in the following format to my.txt file.
20130702|abcd20130702.txt FN|SN|DOB
I tried the below script but it throws me some exceptions.
<#!/bin/sh
dt = date '+%y%m%d'members;
echo $dt+|+members+$dt;
/usr/bin/awk -f
BEGIN { FS="|"; OFS="|"; } { print... (6 Replies)
Friends,
I am in need to delete files from a directory on a regular basis. I want to place all the files to be deleted in delete .txt file and require a script to delete files, line by line from this delete.txt file. Please help me with this script as am new to unix scripting. (3 Replies)
Hi All,
I want to keep the name of the songs with their respective extensions only.
Sample Code
========
03 Choti choti gaiya choti choti gaval.mp3
03---Brazil Dhol.mp3
03 PAYALIYA .mp3
04 - Isq Risk .mp3
04%20-%20Oh%20My%20Love(wapking.in).mp3
08 - A2 - Aasan Nahin Yahan .mp3
AE... (3 Replies)
Hi All
Is there a way to export every line into new txt file where by the title of each txt output are same as the line ?
I have this txt files containing names:
Kandra Vanhooser
Rhona Menefee
Reynaldo Hutt
Houston Rafferty
Charmaine Lord
Albertine Poucher
Juana Maes
Mitch Lobel... (2 Replies)
hi,
i'm trying to write a tcsh script that reads in a text file (one column) and the runs a different command for each line of text.
i've found lots of example commands for bash, but not for tcsh.
can anyone give me a hint?
thanks,
jill (8 Replies)
Discussion started by: giuinha
8 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)