|  | ## Performance (Support Vector Count)

#### Synopsis

This operator created a performance vector containing the number of support vectors of the input kernel model.

#### Description

Returns a performance vector just counting the number of support vectors of a given support vector based model (kernel model). Please note that this operator will try to derive the number of support vectors of the first delivered model and might fail on this task if no appropriate kernel based model is delivered. Currently, at least the models delivered by the operator JMySVM, MyKLR, LibSVM, GPLearner, KernelLogisticRegression, RVM, and the EvoSVM should be supported.

#### Input

- model: expects: KernelModel
- performance vector:

#### Output

- model:
- performance vector:

#### Parameters

- optimization direction: Indicates if the fitness should be maximal for the maximal or the minimal number of support vectors.

#### ExampleProcess