|  | ## Weight by Deviation

#### Synopsis

Computes weights based on the (normalized) standard deviation of the attributes.

#### Description

Creates weights from the standard deviations of all attributes. The values can be normalized by the average, the minimum, or the maximum of the attribute.

#### Input

- example set: expects: ExampleSet

#### Output

- weights:
- example set:

#### Parameters

- normalize weights: Activates the normalization of all weights.
- normalize: Indicates if the standard deviation should be divided by the minimum, maximum, or average of the attribute.

#### ExampleProcess