MIDD
Package
weka.classifiers.mi
Synopsis
Re-implement the Diverse Density algorithm, changes the testing procedure.
Oded Maron (1998). Learning from ambiguity.
O. Maron, T. Lozano-Perez (1998). A Framework for Multiple Instance Learning. Neural Information Processing Systems. 10.
Options
The table below describes the options available for MIDD.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
filterType |
The filter type for transforming the training data. |
Capabilities
The table below describes the capabilites of MIDD.
Capability |
Supported |
|---|---|
Class |
Missing class values, Binary class |
Attributes |
Unary attributes, Relational attributes, Empty nominal attributes, Nominal attributes, Binary attributes, Missing values |
Other |
Only multi-Instance data |
Min # of instances |
1 |