MultiInstanceToPropositional

Package

weka.filters.unsupervised.attribute

Synopsis

Converts the multi-instance dataset into single instance dataset so that the Nominalize, Standardize and other type of filters or transformation can be applied to these data for the further preprocessing.
Note: the first attribute of the converted dataset is a nominal attribute and refers to the bagId.

Options

The table below describes the options available for MultiInstanceToPropositional.

Option	Description
weightMethod	The method used for weighting the instances.

Capabilities

The table below describes the capabilites of MultiInstanceToPropositional.

Capability	Supported
Class	Binary class, Date class, Empty nominal class, String class, Unary class, Relational class, Missing class values, Numeric class, Nominal class
Attributes	Unary attributes, Empty nominal attributes, Nominal attributes, Missing values, Relational attributes, Binary attributes
Other	Only multi-Instance data
Min # of instances	0