|  | ## Loop Data Fractions

#### Synopsis

Uses only a fraction of the data to apply the inner operator on it.

#### Description

This operator works similar to the LearningCurveOperator. In contrast to this, it just splits the ExampleSet according to the parameter "fraction" and learns a model only on the subset. It can be used, for example, in conjunction with GridSearchParameterOptimizationOperator which sets the fraction parameter to values between 0 and 1. The advantage is, that this operator can then be used inside of a XValidation, which delivers more stable result estimations.

#### Input

- example set: expects: ExampleSet

#### Output

- model:

#### Parameters

- fraction: The fraction of examples which shall be used.
- sampling type: Defines the sampling type (linear = consecutive subsets, shuffled = random subsets, stratified = random subsets with class distribution kept constant)
- use local random seed: Indicates if a local random seed should be used.
- local random seed: Specifies the local random seed

#### ExampleProcess