Synopsis
Builds a hierarchical classification model due to the specified class taxonomy.
Description
This meta learner builds a hierarchical classification model due to a class taxonomy. This class taxonomy has to be specified within the hierarchy parameter list. Each list entry represents an edge in the class hierarchy which in fact represents a parent-child class relationship.
Input
- training set: expects: ExampleSet
Output
- model:
- example set:
Parameters
- hierarchy: The hierarchy...
- use local random seed: Indicates if a local random seed should be used.
- local random seed: Specifies the local random seed