|  | ## Weight by Information Gain

#### Synopsis

This operator calculates the relevance of the attributes based on the information gain.

#### Description

This operator calculates the relevance of a feature by computing the information gain in class distribution, if exampleSet would be splitted after the feature.

#### Input

- example set: expects: ExampleSet

#### Output

- weights:
- example set:

#### Parameters

- normalize weights: Activates the normalization of all weights.

#### ExampleProcess