TLDSimple
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 |