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cngmm's Introduction

What's this for?

You can fit and evaluate a character cngmm model. Evaluation of log probability mass function has been parallelised with OpenMP. Observed counts of ngrams are stored into an unordered_map of unordered_map objects --- no matrices involved.

#include <iostream>
#include <string>
#include <tuple>
#include <vector>
#include "./include/cngmm/cngmm.hpp"
int main() {
    cngmm::CharacterNGramMarkovModel M(3, 1.0, 1.0, true);
    // fit model
    M.update(std::string("<<a>"));
    M.update(std::string("<<b>"));
    // evaluate on holdout data
    std::vector<double> lp(10);
    std::vector<std::string> x(10);
    for (int i = 0; i < x.size(); i++) {
        x[i] = "<<aaaaaaaa>";
    }
    // use two threads
    M.lpmf(x, lp, 2);
    cngmm::print::print(lp);
    return(0);
}

Using in your project

This project is header-only and you can simply include it as a subdir of your own project.

// assuming you have the project dir of "cngmm" as a subdir of your own project
#include "./cngmm/include/cngmm/cngmm.hpp"

Running unit tests

mkdir build
cmake -G "Ninja" -S . -B build
cmake --build build
./build/tests.exe

cngmm's People

Watchers

Joonas Miettinen avatar

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