NORM_APPLY(1)

NAME
norm_apply - Data file generation from normalized data.

SYNOPSIS
Takes a classification data file, applies normalization and feature selection to it, and then writes the processed data to a new data file. This allows users to apply multiple LNKnet normalizations to a data base or to permanently select some features from a data base.

norm_apply [ -pathdata directory ] [ -finput file ]
[ -fdescribe file ] [ -foutput file ]
[ -foutdescribe file ] [ -npatterns n ] [ -normalize ]
[ -fnorm file ] [ -ninputs n ] [ -features n[,n]... ]

EXAMPLE
norm_apply -pathdata $LNKHOME/data/class \
-finput vowel.train -fdescribe vowel.defaults \
-foutput vowel_simple.train \
-foutdescribe vowel_simple.defaults -normalize \
-fnorm vowel.norm.simple

OPTIONS
-- Prints a list of all flags and arguments.

-pathdata directory
    The base directory used for finding the data files finput, fdescribe, and fnorm and for storing the files foutputs and foutdescribe. A slash "/" is automatically added to the end of the base directory if it doesn't end with a slash.

-finput file
    The ASCII data file in pathdata with the original data. The format and naming conventions for input files are described on the classifier(1) manual page.

-fdescribe file
    This file contains settings for the data base type, the number of input features, labels for the input features, the number of output classes, and labels for the output classes for the original data base. Description files are described on the classifier(1) manual page.

-foutput file
    The ASCII data file which will be produced by norm_apply.

-foutdescribe
    The description file for the new normalized data base.

-npatterns n
    The number of patterns to read and process from finput.

-normalize
    If normalize is set, apply the normalization parameters from fnorm to the data in finput.

-fnorm file
    Normalization parameters to be applied to the data in finput before feature selection is applied to the data.

-ninputs n
    Select the first n features from the normalized data before writing the processed data to foutput. If features is set, ninputs will be ignored.

-features n[,n]...
    Features to select from the normalized data before writing the processed data to foutput.

SEE ALSO
classifier(1), norm_lnk(1)

HISTORY
First written 24 June 1994 by Linda Kukolich

BUGS
Send bug reports to Linda Kukolich (kukolich@sst.ll.mit.edu)