3 # parametrs for learner
4 # aphabetSize {small, partial, full} - selects subset input alphabet. this affects model size
5 # learningMethod {LStar, TTT, RS, KV}
6 # equaviance orace {rand, wm, wpm}
9 #java -cp ":lib/automata-parent.jar:lib/learnlib-parent.jar" learner.Main partial TTT wm
12 #java -cp ":lib/automata-parent.jar:lib/learnlib-parent.jar" learner.Main full LStar wm
14 #java -cp ":lib/automata-parent.jar:lib/learnlib-parent.jar" learner.Main full RS wm
16 java
-cp ":lib/automata-parent.jar:lib/learnlib-parent.jar" learner.Main full KV wm
18 cp learned
*.
{dot
,pdf
} results
/