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📄 lda-alpha.c

📁 latent dirichlet allocation的C实现代码
💻 C
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// (C) Copyright 2004, David M. Blei (blei [at] cs [dot] cmu [dot] edu)// This file is part of LDA-C.// LDA-C is free software; you can redistribute it and/or modify it under// the terms of the GNU General Public License as published by the Free// Software Foundation; either version 2 of the License, or (at your// option) any later version.// LDA-C is distributed in the hope that it will be useful, but WITHOUT// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or// FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License// for more details.// You should have received a copy of the GNU General Public License// along with this program; if not, write to the Free Software// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307// USA#include "lda-alpha.h"/* * objective function and its derivatives * */double alhood(double a, double ss, int D, int K){ return(D * (lgamma(K * a) - K * lgamma(a)) + (a - 1) * ss); }double d_alhood(double a, double ss, int D, int K){ return(D * (K * digamma(K * a) - K * digamma(a)) + ss); }double d2_alhood(double a, int D, int K){ return(D * (K * K * trigamma(K * a) - K * trigamma(a))); }/* * newtons method * */double opt_alpha(double ss, int D, int K){    double a, log_a, init_a = 100;    double f, df, d2f;    int iter = 0;    log_a = log(init_a);    do    {        iter++;        a = exp(log_a);        if (isnan(a))        {            init_a = init_a * 10;            printf("warning : alpha is nan; new init = %5.5f\n", init_a);            a = init_a;            log_a = log(a);        }        f = alhood(a, ss, D, K);        df = d_alhood(a, ss, D, K);        d2f = d2_alhood(a, D, K);        log_a = log_a - df/(d2f * a + df);        printf("alpha maximization : %5.5f   %5.5f\n", f, df);    }    while ((fabs(df) > NEWTON_THRESH) && (iter < MAX_ALPHA_ITER));    return(exp(log_a));}

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