sgpp::datadriven::DataShufflingFunctorRandom Class Reference

A simple shuffling functor for data samples that performs a random shuffling of the data. More...

#include <DataShufflingFunctorRandom.hpp>

Inheritance diagram for sgpp::datadriven::DataShufflingFunctorRandom:

Public Member Functions
DataShufflingFunctor *	clone () const override
	Clone pattern. More...
	DataShufflingFunctorRandom (int64_t seed=1337)
	Standard constructor. More...
size_t	operator() (size_t idx, size_t numSamples) override
	Overload the function-call operator that maps indexes to indexes via a permutation of the entire index set. More...
Public Member Functions inherited from sgpp::datadriven::DataShufflingFunctor
	DataShufflingFunctor ()
	DataShufflingFunctor (const DataShufflingFunctor &rhs)=default
	DataShufflingFunctor (DataShufflingFunctor &&rhs)=default
DataShufflingFunctor &	operator= (const DataShufflingFunctor &rhs)=default
DataShufflingFunctor &	operator= (DataShufflingFunctor &&rhs)=default
virtual	~DataShufflingFunctor ()=default

Detailed Description

A simple shuffling functor for data samples that performs a random shuffling of the data.

A Feistel network is used to compute the permutation of [0...N-1] without linear memory complexity.

Constructor & Destructor Documentation

DataShufflingFunctorRandom()

sgpp::datadriven::DataShufflingFunctorRandom::DataShufflingFunctorRandom ( int64_t  seed = 1337 )

explicit

Standard constructor.

Parameters

seed	the seed for the random shuffling (seed == -1 corresponds to a random seed)

References python.statsfileInfo::i.

Member Function Documentation

clone()

DataShufflingFunctor * sgpp::datadriven::DataShufflingFunctorRandom::clone ( ) const

overridevirtual

Clone pattern.

Returns

identical copy of this instance

Implements sgpp::datadriven::DataShufflingFunctor.

References python.statsfileInfo::i.

operator()()

size_t sgpp::datadriven::DataShufflingFunctorRandom::operator() ( size_t  idx, size_t  numSamples  )

overridevirtual

Overload the function-call operator that maps indexes to indexes via a permutation of the entire index set.

The permutation used is the identity.

Parameters

idx	the original index
numSamples	the number of indexes to permute in total

Returns

idx the index after the permutation (simply the input)

Implements sgpp::datadriven::DataShufflingFunctor.

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The documentation for this class was generated from the following files:

• datadriven/src/sgpp/datadriven/datamining/modules/dataSource/shuffling/DataShufflingFunctorRandom.hpp
• datadriven/src/sgpp/datadriven/datamining/modules/dataSource/shuffling/DataShufflingFunctorRandom.cpp