99 lines
2.0 KiB
C++
99 lines
2.0 KiB
C++
/*
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* To change this license header, choose License Headers in Project Properties.
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* To change this template file, choose Tools | Templates
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* and open the template in the editor.
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*/
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/*
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* File: matutils.hpp
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* Author: jens
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*
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* Created on 21. Januar 2022, 08:28
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*/
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#ifndef MATUTILS_HPP
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#define MATUTILS_HPP
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#include "RnnTextHelper.hpp"
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#include <math.h>
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namespace Matutils
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{
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const size_t NORMALIZING_DIM = 1;
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inline arma::mat uniform(arma::mat const & sizeMat, double stdDev=1.0, double mu=0.5)
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{
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return stdDev*(arma::randu(arma::size(sizeMat)) + mu - 0.5);
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}
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inline arma::mat sample(const arma::mat &src)
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{
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arma::umat res = (src > uniform(src));
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return arma::conv_to<arma::mat>::from(res);
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}
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inline arma::mat prob(const arma::mat &src)
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{
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return 1 / (1 + (arma::exp(-src)));
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}
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inline arma::mat normalize(const arma::mat& src)
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{
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std::cout << "Normalizing Training Data ..." << std::endl;
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// Dim = 0: Normalize over training all training pattern
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// Dim = 1: Normalize over single training pattern
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double k = 1;
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arma::mat mean = arma::mean(src, NORMALIZING_DIM);
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arma::mat stddev = arma::stddev(src, 0, NORMALIZING_DIM);
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arma::mat mean_mat;
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arma::mat std_mat;
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if (NORMALIZING_DIM==0)
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{
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mean_mat = arma::repmat(mean, src.n_rows, 1);
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std_mat = arma::repmat(stddev, src.n_rows, 1);
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}
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else
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{
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mean_mat = arma::repmat(mean, 1, src.n_cols);
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std_mat = arma::repmat(stddev, 1, src.n_cols);
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}
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arma::mat xn = src - mean_mat;
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arma::mat y = xn/(std_mat + 1e-9);
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return y;
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}
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inline arma::mat mean(const arma::mat& src)
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{
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return arma::mean(src, NORMALIZING_DIM);
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}
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inline arma::mat stddev(const arma::mat& src)
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{
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return arma::stddev(src, 0, NORMALIZING_DIM);
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}
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inline arma::mat char2vec(char c, size_t len)
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{
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arma::mat result = arma::zeros(1, len);
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int idx = RnnTextHelper::ch2idx(c);
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result[idx] = 1;
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return result;
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}
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inline char vec2char(arma::mat const &vec)
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{
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char result = RnnTextHelper::idx2ch(vec.index_max());
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return result;
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}
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}
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#endif /* MATUTILS_HPP */
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