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- #pragma once
- #include <QObject>
- #include "RunData.h"
- #include "Concurrent.h"
- #include <vector>
- class tSneAlgo : public QObject, public Concurrent
- {
- Q_OBJECT
- public:
- tSneAlgo(std::vector<SolutionPointData>::iterator begin, std::vector<SolutionPointData>::iterator end, double** YnotInitialized, double perplexity, double learningRate, int maxIter);
- ~tSneAlgo();
- int actualIteration = 0;
- double perplexity, learningRate;
- // in between 0.0 and 1.0
- double theta = 0;
- int maxIter = 750, stopLyingIter = 120, momentumSwitchIter = 20;
- private:
- int N, D, outputDimesion = 2;
- bool useRandomSeed = true;
- bool skipRandomInit = false;
- int randomSeet = 182437123;
- //intermediate
- double* inputArrayX;
- double* outputArrayY;
- void run() override;
- public:
- void setLearningRate(double epsillon);
- void setPerplexity(double perplexity);
- signals:
- void changedIter(int iter);
- void algoDone();
- };
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