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v.kcv(1grass) Grass User's Manual v.kcv(1grass)

NAME

v.kcv - Randomly partition points into test/train sets.

KEYWORDS

vector, statistics

SYNOPSIS

v.kcv
 
v.kcv help
 
v.kcv [-dq] input=name output=name k= integer column=string [--overwrite] [--verbose] [--quiet]

Flags:

-d
 
Use drand48()
-q
 
Quiet
--overwrite
 
Allow output files to overwrite existing files
--verbose
 
Verbose module output
--quiet
 
Quiet module output

Parameters:

input=name
 
Name of input vector map
output=name
 
Name for output vector map
k=integer
 
Number of partitions
 
Options: 1-32767
column=string
 
Name for new column to which partition number is written
 
Default: part

DESCRIPTION

v.kcv randomly divides a points lists into k sets of test/train data (for k-fold cross validation). Test partitions are mutually exclusive. That is, a point will appear in only one test partition and k-1 training partitions. The program generates a random point using the selected random number generator and then finds the closest point to it. This site is removed from the candidate list (meaning that it will not be selected for any other test set) and saved in the first test partition file. This is repeated until enough points have been selected for the test partition. The number of points chosen for test partitions depends upon the number of sites available and the number of partitions chosen (this number is made as consistent as possible while ensuring that all sites will be chosen for testing). This process of filling up a test partition is done k times.

NOTES

An ideal random sites generator will follow a Poisson dis only be as random as the original points. This program simply divides points up in a random manner.
Be warned that random number generation occurs over the intervals defined by the region of the map.
This program may not work properly with Lat-long data.

SEE ALSO

v.random and g.region

AUTHOR

James Darrell McCauley ,
 
when he was at: Agricultural Engineering Purdue University
Update to 5.7 Radim Blazek 10 / 2004
Last changed: $Date: 2011-11-08 10:42:51 +0100 (Tue, 08 Nov 2011) $
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