代码搜索：Multinomial
找到约 224 项符合「Multinomial」的源代码
代码结果 224
www.eeworm.com/read/492929/6414249
m mlogit_d.m
% PURPOSE: An example of mlogit(),
% prt_reg().
% maximum likelihood estimation
% of multinomial logit model
%---------------------------------------------------
% USAGE:
www.eeworm.com/read/408292/11398130
m multinom_logistic.m
function y=multinom_logistic(x)
%y=multinom_logistic(x) computes probabilities for multinomial logistic
%model (softmax function)
%for nd arrays, sum over dimension nd
%if only one vector, use row
www.eeworm.com/read/130309/14198421
cpp link_polynomial.cpp
#include"link_polynomial.h"
#include
void main()
{
int choice;
multinomial r;
while(1)
{
cout
www.eeworm.com/read/191902/8417210
m sufficient_statistics.m
function [S1, S2] = Sufficient_statistics(data, distribution)
%Find sufficient statistics for data assuming a distribution
%Inputs:
% data - The data from which to estimate
% distribution - What
www.eeworm.com/read/286662/8751822
m sufficient_statistics.m
function [S1, S2] = Sufficient_statistics(data, distribution)
%Find sufficient statistics for data assuming a distribution
%Inputs:
% data - The data from which to estimate
% distribution - What
www.eeworm.com/read/373627/9445707
index
class.ind Generates Class Indicator Matrix from a Factor
multinom Fit Multinomial Log-linear Models
nnetHess Evaluates Hessian for a Neural Network
nnet
www.eeworm.com/read/373627/9445735
html 00index.html
R: Feed-forward Neural Networks and Multinomial Log-Linear Models
www.eeworm.com/read/177129/9468876
m sufficient_statistics.m
function [S1, S2] = Sufficient_statistics(data, distribution)
%Find sufficient statistics for data assuming a distribution
%Inputs:
% data - The data from which to estimate
% distribution - What
www.eeworm.com/read/372113/9521205
m sufficient_statistics.m
function [S1, S2] = Sufficient_statistics(data, distribution)
%Find sufficient statistics for data assuming a distribution
%Inputs:
% data - The data from which to estimate
% distribution - What
www.eeworm.com/read/362008/10023889
m sufficient_statistics.m
function [S1, S2] = Sufficient_statistics(data, distribution)
%Find sufficient statistics for data assuming a distribution
%Inputs:
% data - The data from which to estimate
% distribution - What