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Class implementing a HyperPipe classifier. For each category a HyperPipe is constructed that contains all points of that category (essentially records the attribute bounds observed for each category). Test instances are classified according to the category that "most contains the instance".
Does not handle numeric class, or missing values in test cases. Extremely simple algorithm, but has the advantage of being extremely fast, and works quite well when you have "smegloads" of attributes.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (hyperPipes).
Options
The table below describes the options available for HyperPipes.
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