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NAME

v.divide.training_validation - divides data into training and validation data.

KEYWORDS

vector, sampling, statistics, random, stratified random sampling

SYNOPSIS

v.divide.training_validation
v.divide.training_validation --help
v.divide.training_validation input=name [column=name] training=name validation=name [training_percent=integer] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters:

input=name [required]
Name of input vector map
Or data source for direct OGR access
column=name
Name of column with class information
training=name [required]
Name for output vector map
validation=name [required]
Name for output vector map
training_percent=integer
Percent of data which should be selected as training data
Default: 30

Table of contents

DESCRIPTION

v.divide.training_validation divides data into training and validation data.

EXAMPLES

v.divide.training_validation in=classpoints column=lulc_int training=trainingpoints validation=validationpoints training_percent=30

AUTHORS

Anika Bettge (main development) and Guido Riembauer, mundialis, Germany

SOURCE CODE

Available at: v.divide.training_validation source code (history)

Accessed: Wednesday Jul 17 09:10:46 2024


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