Download LBJava User Guide - Cognitive Computation Group

discrete{false, true} highRisk(Patient p) <- {
return p.historyOfCancer() && p.isSmoker();
}
discrete prefix(Word w) cachedin w.prefix <- {
if (w.spelling > 5) return w.spelling.substring(0, 3);
return w.spelling;
}
real[] dimensions(Cube c) <- {
sense c.length;
sense c.width;
sense c.height;
}
discrete bigram(Word w) <- spellingTarget && spellingOneAfter
Figure 4.1. Classifier declarations declaring hard-coded classifiers.
• discrete
• discrete{ value-list }
• real
• discrete[]
• discrete{ value-list }[]
• real[]
• discrete%
• discrete{ value-list }%
• real%
• mixed%
Feature return types ending with square brackets indicate that an array of features is produced by this classifier. The user can expect the feature at a given index of the array to be the
same feature with a differing value each time the classifier is called on a different input object.
Feature return types ending with a percent sign indicate that this classifier is a feature generator.
A feature generator may return zero or more features in any order when it is called, and there
is no guarantee that the same features will be produced when called on different input objects.
Finally, the mixed% feature return type indicates that the classifier is a generator of both discrete
and real features.
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