HyperPipes

Package

weka.classifiers.misc

Synopsis

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.

Option	Description
debug	If set to true, classifier may output additional info to the console.

Capabilities

The table below describes the capabilites of HyperPipes.

Capability	Supported
Class	Nominal class, Missing class values, Binary class
Attributes	Binary attributes, Missing values, Nominal attributes, Unary attributes, Numeric attributes, Date attributes, Empty nominal attributes
Min # of instances	0