Loop Data Fractions
(AI Studio Core)
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 (IOObject)This is an example set input port
Output
model (Model)
Parameters
- fractionThe fraction of examples which shall be used.
- sampling typeDefines the sampling type (linear = consecutive subsets, shuffled = random subsets, stratified = random subsets with class distribution kept constant)
- use local random seedIndicates if a local random seed should be used.
- local random seedSpecifies the local random seed