Access Keys:
Skip to content (Access Key - 0)

Package

weka.filters.unsupervised.attribute

Synopsis

Converts the propositional instance dataset into multi-instance dataset (with relational attribute). When normalize or standardize a multi-instance dataset, a MIToSingleInstance filter can be applied first to convert the multi-instance dataset into propositional instance dataset. After normalization or standardization, may use this PropositionalToMultiInstance filter to convert the data back to multi-instance format.

Note: the first attribute of the original propositional instance dataset must be a nominal attribute which is expected to be bagId attribute.

Options

The table below describes the options available for PropositionalToMultiInstance.

Option Description
randomize Whether the order of the generated data is randomized.
seed The random seed used by the random number generator

Capabilities

The table below describes the capabilites of PropositionalToMultiInstance.

Capability Supported
Class Date class, Numeric class, Unary class, Binary class, String class, Missing class values, Nominal class, Relational class, Empty nominal class, No class
Attributes Binary attributes, Nominal attributes, Numeric attributes, Unary attributes, String attributes, Empty nominal attributes, Missing values, Date attributes
Min # of instances 0

This documentation is maintained by the Pentaho community, and members are encouraged to create new pages in the appropriate spaces, or edit existing pages that need to be corrected or updated.

Please do not leave comments on Wiki pages asking for help. They will be deleted. Use the forums instead.

Adaptavist Theme Builder Powered by Atlassian Confluence