Main Page Files Productions Problem Spaces Operators Goal Hierarchy Groups Prod. By Type All
| A |
abstract
- SCA abstraction operator
| C |
count-attributes
- Count the attributes in the learning instance
| G |
get-example
- Set up learning instance
| H |
halt
- Halt processing when no input available
| M |
map-attributes
- Map unrecognized values to known values
| N |
note-relevant-feature
- Notice potential relevant features for prediction
| P |
prediction
- Make a prediction
prediction-task
- Begin the prediction/learning task.
| R |
reverse
- Replace an abstracted feature when correct prediction found