RDC_8hpp_source.html

#pragma once


#include <Eigen/Core>

#include <random>


namespace m {


Eigen::MatrixXf create_CDF_matrix(const Eigen::MatrixXf &data);


float rdc(const Eigen::MatrixXf &X, const Eigen::MatrixXf &Y, unsigned k = 5, float stddev = 1.f/6.f);


template<typename URBG = std::mt19937_64>

float rdc_precomputed_CDF(Eigen::MatrixXf &CDFs_of_X, Eigen::MatrixXf &CDFs_of_Y, unsigned k = 5,

                          float stddev = 1.f/6.f, URBG &&g = URBG());


}

m
‍mutable namespace
Definition: Backend.hpp:10

m::create_CDF_matrix
Eigen::MatrixXf create_CDF_matrix(const Eigen::MatrixXf &data)
Creates a new matrix, mapping every cell of data to its position according to the cell's column's CDF...

m::rdc
float rdc(const Eigen::MatrixXf &X, const Eigen::MatrixXf &Y, unsigned k=5, float stddev=1.f/6.f)
Compute the Randomized Dependence Coefficient of two random variables.
Definition: RDC.cpp:78

m::rdc_precomputed_CDF
float rdc_precomputed_CDF(Eigen::MatrixXf &CDFs_of_X, Eigen::MatrixXf &CDFs_of_Y, unsigned k=5, float stddev=1.f/6.f, URBG &&g=URBG())
Compute the RDC value without having to compute CDF matrices to avoid sorting the same data multiple ...

m::OperatorKind::X
X(Kind)