PropositionalToMultiInstance
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 |