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 |