SG++

Set of parameters required to fully configure sgpp::datadriven::SplittingScorer objects. More...

#include <ScorerConfig.hpp>

## Public Attributes

ScorerMetricType metric
Type of metric that should be used to calculate the accuracy of the fit. More...

int64_t randomSeed = -1
Random seed used for permutation of samples in the shuffling functor. More...

ScorerShufflingType shuffling = ScorerShufflingType::random
Type of shuffling operator to be used for rearrangement of samples in the parsed dataset. More...

double testingPortion = 0.3
value between 0 and 1 to specify the ratio between testing set and training set. More...

## Detailed Description

Set of parameters required to fully configure sgpp::datadriven::SplittingScorer objects.

## Member Data Documentation

Type of metric that should be used to calculate the accuracy of the fit.

Random seed used for permutation of samples in the shuffling functor.

For each random seed, the same set of random numbers are generated, meaning that same random seeds generate the same sequence of random numbers. Default value of -1 indicates to generate an arbitrary random seed.