MILR
Package
weka.classifiers.mi
Synopsis
Uses either standard or collective multi-instance assumption, but within linear regression. For the collective assumption, it offers arithmetic or geometric mean for the posteriors.
Options
The table below describes the options available for MILR.
Option |
Description |
|---|---|
algorithmType |
The mean type for the posteriors. |
debug |
If set to true, classifier may output additional info to the console. |
ridge |
The ridge in the log-likelihood. |
Capabilities
The table below describes the capabilites of MILR.
Capability |
Supported |
|---|---|
Class |
Binary class, Missing class values |
Attributes |
Empty nominal attributes, Relational attributes, Nominal attributes, Binary attributes, Unary attributes, Missing values |
Other |
Only multi-Instance data |
Min # of instances |
1 |