Package
weka.classifiers.mi
Synopsis
A simpler version of TLD, mu random but sigma^2 fixed and estimated via data.
For more information see:
Xin Xu (2003). Statistical learning in multiple instance problem. Hamilton, NZ.
Options
The table below describes the options available for TLDSimple.
Option | Description |
|---|---|
debug | If set to true, classifier may output additional info to the console. |
numRuns | The number of runs to perform. |
seed | The random number seed to be used. |
usingCutOff | Whether to use an empirical cutoff. |
Capabilities
The table below describes the capabilites of TLDSimple.
Capability | Supported |
|---|---|
Class | Binary class, Missing class values |
Attributes | Relational attributes, Nominal attributes, Empty nominal attributes, Missing values, Binary attributes, Unary attributes |
Other | Only multi-Instance data |
Min # of instances | 1 |