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Command-Line Parameter Index

Each listing displays the parameter's name, syntax, a description of acceptable arguments, its default setting (if any), and a page reference to a more detailed description in Chapter 5.

Name Syntax Argument Description Default Page
Architecture file -A <file> Input filename. none [*]
Also write pending features -a $ \pm$ `+' or `-'. - [*]
Naive Bayes -B ... See Chapter 5. none [*], [*]
Naive Bayes smoothing -b <k> A real number. 15 [*]
Learning curve generation -c <i> A non-negative integer. 0 [*]
Discard method -d ... See Chapter 5. none [*]
Error file -E <file> Output filename. none [*]
Eligibility policy -e ... See Chapter 5. count:2 [*]
``Fixed'' feature -f $ \pm$ `+' or `-'. + [*]
Gradient Descent -G $ \pm$ `+' or `-'. - [*], [*]
Generate conjunctions -g $ \pm[,\pm]$ `+' or `-' once or twice. <unset>,- [*]
Incremental learning -i $ \pm$ `+' or `-'. - [*]
Target output limit -L <k> A positive integer. ULONG_MAX [*]
Labeled examples -l $ \pm$ `+' or `-'. + [*]
Store examples in memory -M $ \pm$ `+' or `-'. - [*]
Multiple labels -m $ \pm$ `+' or `-'. + [*]
Constraint Classification -O $ \pm[,\pm]$ `+' or `-' once or twice. -,- [*], [*]
Output mode -o ... See Chapter 5. accuracy [*]
Perceptron -P ... See Chapter 5. none [*], [*]
Prediction threshold -p <k> A real number. $ -1$ [*]
Results file -R <file> Output filename. none [*]
Training rounds (cycles) -r <i> A positive integer. $ 2$ [*]
Thick separator -S <p>$ [$,<n>$ ]$ One or two real numbers. 0 [*], [*]
Sparse network -s <s | f> `s' or `f'. s [*]
Testing file -T <file> Input filename. none [*]
Threshold relative updating -t $ \pm$ `+' or `-'. - [*], [*]
First cycle updating -u $ \pm$ `+' or `-'. + [*]
Verbosity -v ... See Chapter 5. min [*]
Winnow -W ... See Chapter 5. none [*], [*]
Winnow smoothing -w <k> A real number. 0 [*]
``Raw'' mode -z $ \pm$ `+' or `-'. - [*]


next up previous contents
Next: Glossary of Terms Up: SNoW User Manual Previous: Other Options   Contents
Cognitive Computations 2004-08-20