📄 logistic_regression_likelihood.m
字号:
## Copyright (C) 1995, 1996, 1997, 1998, 1999, 2000, 2002, 2005, 2007## Kurt Hornik#### This file is part of Octave.#### Octave 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 3 of the License, or (at## your option) any later version.#### Octave 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 Octave; see the file COPYING. If not, see## <http://www.gnu.org/licenses/>.## -*- texinfo -*-## @deftypefn {Function File} {[@var{g}, @var{g1}, @var{p}, @var{dev}] =} logistic_regression_likelihood (@var{y}, @var{x}, @var{beta}, @var{z}, @var{z1})## Calculates likelihood for the ordinal logistic regression model.## Called by logistic_regression.## @end deftypefn## Author: Gordon K. Smyth <gks@maths.uq.oz.au>## Adapted-By: KH <Kurt.Hornik@wu-wien.ac.at>## Description: Likelihood in logistic regressionfunction [g, g1, p, dev] = logistic_regression_likelihood (y, x, beta, z, z1) if (nargin != 5) print_usage (); endif e = exp ([z, x] * beta); e1 = exp ([z1, x] * beta); g = e ./ (1 + e); g1 = e1 ./ (1 + e1); g = max (y == max (y), g); g1 = min (y > min(y), g1); p = g - g1; dev = -2 * sum (log (p));endfunction
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -