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In brewing, a fermenter is a vessel in which unfinished ingredients become nearly finished beer. In Model Driven Architecture, Fermenter is a project that converts functional concepts into nearly finished applications. This approach allows for the quick definition and assembly of applications with the focus on functional concepts rather than technical underpinnings. Fermenter is an MDA engine that allows common concepts to be modeled and spawn any number of generated source files. In turn, this allows developers to focus more time on business logic, less time on technical underpinnings, and achieve extremely high levels of architectural conformity.

In brewing, a fermenter is a vessel in which unfinished ingredients become nearly finished beer. In Model Driven Architecture, Fermenter is a project that converts functional concepts into nearly finished applications. This approach allows for the quick definition and assembly of applications with the focus on functional concepts rather than technical underpinnings. Fermenter is an MDA engine that allows common concepts to be modeled and spawn any number of generated source files. In turn, this allows developers to focus more time on business logic, less time on technical underpinnings, and achieve extremely high levels of architectural conformity.

Class for building and using a decision table/naive bayes hybrid classifier. At each point in the search, the algorithm evaluates the merit of dividing the attributes into two disjoint subsets: one for the decision table, the other for naive Bayes. A forward selection search is used, where at each step, selected attributes are modeled by naive Bayes and the remainder by the decision table, and all attributes are modelled by the decision table initially. At each step, the algorithm also considers dropping an attribute entirely from the model. For more information, see: Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.