matlab_renyi_entropy_lps.cpp

// Description: renyi_entropy_lps
// DocumentationOf: renyi_entropy_lps.m

#include "tim/corematlab/tim_matlab.h"

#include "tim/core/renyi_entropy_lps.h"

void force_linking_renyi_entropy_lps() {};

using namespace Tim;

namespace
{

    void matlabRenyiEntropyLps(
        int outputs, mxArray *outputSet[],
        int inputs, const mxArray *inputSet[])
    {
        enum Input
        {
            X,
            Q,
            KNearestSuggestion,
            Inputs
        };

        enum Output
        {
            Estimate,
            Outputs
        };

        ENSURE_OP(inputs, ==, Inputs);
        ENSURE_OP(outputs, ==, Outputs);

        std::vector<MatlabMatrix<dreal>> xMatrices = matlabAsMatrixRange<dreal>(inputSet[X]) | ranges::to_vector;
        std::vector<Signal> xSignals = matlabMatricesAsSignals(xMatrices) | ranges::to_vector;

        dreal q = matlabAsScalar<dreal>(inputSet[Q]);
        integer kNearestSuggestion = matlabAsScalar<integer>(inputSet[KNearestSuggestion]);

        dreal* outResult = matlabCreateScalar<dreal>(outputSet[Estimate]);
        *outResult = renyiEntropyLps(
            xSignals,
            q, kNearestSuggestion);
    }

    void addFunction()
    {
        matlabAddFunction(
            "renyi_entropy_lps",
            matlabRenyiEntropyLps);
    }

    CallFunction run(addFunction);

}