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 `-'. | - |