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