|  | ## Regularized Discriminant Analysis

#### Synopsis

A regularized generale discriminant function for binominal labels and numerical attributes.

#### Description

This is a regularized discriminant analysis (RDA) which is a generalization of the LDA or QDA. Both algorithms are special cases of this algorithm, using parameter alpha = 1 respectively alpha = 0.

#### Input

- training set: expects: ExampleSet

#### Output

- model:
- exampleSet:

#### Parameters

- alpha: This is the strength of regularization. 1: Only global covariance is used, 0: Only per class covariance is used.

#### ExampleProcess