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 ![]() |
`+' 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 ![]() |
`+' or `-'. | + | |
Gradient Descent | -G ![]() |
`+' or `-'. | - | , |
Generate conjunctions | -g ![]() |
`+' or `-' once or twice. | <unset>,- | |
Incremental learning | -i ![]() |
`+' or `-'. | - | |
Target output limit | -L <k> | A positive integer. | ULONG_MAX | |
Labeled examples | -l ![]() |
`+' or `-'. | + | |
Store examples in memory | -M ![]() |
`+' or `-'. | - | |
Multiple labels | -m ![]() |
`+' or `-'. | + | |
Constraint Classification | -O ![]() |
`+' or `-' once or twice. | -,- | , |
Output mode | -o ... | See Chapter 5. | accuracy | |
Perceptron | -P ... | See Chapter 5. | none | , |
Prediction threshold | -p <k> | A real number. | ![]() |
|
Results file | -R <file> | Output filename. | none | |
Training rounds (cycles) | -r <i> | A positive integer. | ![]() |
|
Thick separator | -S <p>![]() ![]() |
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 ![]() |
`+' or `-'. | - | , |
First cycle updating | -u ![]() |
`+' or `-'. | + | |
Verbosity | -v ... | See Chapter 5. | min | |
Winnow | -W ... | See Chapter 5. | none | , |
Winnow smoothing | -w <k> | A real number. | 0 | |
``Raw'' mode | -z ![]() |
`+' or `-'. | - |