|  | ## Hierarchical Classification

#### 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

#### ExampleProcess