代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/273525/4206079
hlp svy_nbreg_postestimation.hlp
{smcl}
{* 29mar2005}{...}
{cmd:help svy: nbreg postestimation}{...}
{right:dialogs: {bf:{dialog svy_nbreg_p:predict}} for {cmd:svy: nbreg}{space 1}}
{right:{bf:{dialog svy_gnbreg_p:predict}} for
www.eeworm.com/read/163802/10144826
m imm_ca_cv.m
%imm算法
function [X_estimate,P,x_model_filter,p_model_filter,u_output]=imm_cs_ca(z,x1,p1,u_input)
%
%
T=1;
u_output=zeros(2,1);
fai=[];
Q=[];
%模型1，CA模型
F_ca=[1 T T^2/2;0 1 T;0 0 1];
G_c
www.eeworm.com/read/305551/13766419
m imm_ca_cv.m
%imm算法
function [X_estimate,P,x_model_filter,p_model_filter,u_output]=imm_cs_ca(z,x1,p1,u_input)
%
%
T=1;
u_output=zeros(2,1);
fai=[];
Q=[];
%模型1，CA模型
F_ca=[1 T T^2/2;0 1 T;0 0 1];
G_c
www.eeworm.com/read/400862/11567566
m imm_ca_cv.m
%imm算法
function [X_estimate,P,x_model_filter,p_model_filter,u_output]=imm_cs_ca(z,x1,p1,u_input)
%
%
T=1;
u_output=zeros(2,1);
fai=[];
Q=[];
%模型1，CA模型
F_ca=[1 T T^2/2;0 1 T;0 0 1];
G_c
www.eeworm.com/read/417379/2101715
r cnn_3.r
#############################################
# CNN regression fit/predict converters
#############################################
cnnSummaryConverter
www.eeworm.com/read/417379/2101716
r lm_2.r
#############################################
# Linear regression fit/predict converters
#############################################
lmFitConverter
www.eeworm.com/read/417379/2102339
r cnn_3.r
#############################################
# CNN regression fit/predict converters
#############################################
cnnSummaryConverter
www.eeworm.com/read/417379/2102340
r lm_2.r
#############################################
# Linear regression fit/predict converters
#############################################
lmFitConverter
www.eeworm.com/read/380183/9158407
asv untitled2www.asv
function[z_predict,s_predict]=f_imm_predict1(i,x_jpda,p_jpda,u_input);
%仅仿真使用，利用单模型代替多模型
model_try;%给模型参数赋值
h=[eye(3) zeros(3,6)];
r=eye(3);
MarkoProb=eye(6)+1/6;
predictProb=MarkoProb'*u
www.eeworm.com/read/380183/9158418
m untitled2w.m
function[z_predict,s_predict]=f_imm_predict1(i,x_jpda,p_jpda,u_input);
%仅仿真使用，利用单模型代替多模型
model_try;%给模型参数赋值
h=[eye(3) zeros(3,6)];
r=eye(3);
MarkoProb=zeros(6)+1/6;
predictProb=MarkoProb'