NAME
i.pr.subsets - Module to create features file for experiment using a features file and applying cross-validation or bootstrap resampling. i.pr: Pattern Recognition environment for image processing. Includes kNN, Decision Tree and SVM classification techniques. Also includes cross-validation and bagging methods for model validation.
KEYWORDS
imagery, image processing, pattern recognition
SYNOPSIS
i.pr.subsets
i.pr.subsets help
i.pr.subsets [-cbs] features=string n_sets=integer seed=integer [--verbose] [--quiet]
Flags:
- -c
- selected method: cross-validation.
- -b
- selected method: bootstrap.
- -s
- selected method: stratified bootstrap (works only with two classes.
- --verbose
- Verbose module output
- --quiet
- Quiet module output
Parameters:
- features=string
- Input file containing the features (output of i.pr_features).
- n_sets=integer
- Number of subsets (>=1). If you set n_sets=1 and select cross-validation,
leave one out cv will be implemented.
- seed=integer
- Seed for the initialization (>=0), which specifies a starting point
for the random number sequence. Replicate same experiment.
- Default: 0
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