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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​

This is an example set input port

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