代码搜索:multivariate

找到约 564 项符合「multivariate」的源代码

代码结果 564
www.eeworm.com/read/263146/11374181

ocf multivariate.ocf

www.eeworm.com/read/273525/4207264

hlp multivariate.hlp

{smcl} {* 07apr2005}{...} {cmd:help multivariate} {hline} {p2colset 5 33 37 2}{...} {title:Title} {pstd} {hi:[MV] multivariate} {hline 2} Introduction to multivariate commands {title:D
www.eeworm.com/read/191902/8417076

m multivariate_splines.m

function D = Multivariate_Splines(train_features, train_targets, params, region) % Classify using multivariate adaptive regression splines % Inputs: % features - Train features % targets -
www.eeworm.com/read/189641/8464205

m multivariate_gauss.m

function s= multivariate_gauss(x,P,n) %function s= multivariate_gauss(x,P,n) % % INPUTS: % (x, P) mean vector and covariance matrix % obtain n samples % OUTPUT: % sample set % % Random sample f
www.eeworm.com/read/286662/8751673

m multivariate_splines.m

function test_targets = Multivariate_Splines(train_patterns, train_targets, test_patterns, params) % Classify using multivariate adaptive regression splines % Inputs: % train_patterns - Train pa
www.eeworm.com/read/177129/9468765

m multivariate_splines.m

function D = Multivariate_Splines(train_features, train_targets, params, region) % Classify using multivariate adaptive regression splines % Inputs: % features - Train features % targets -
www.eeworm.com/read/372113/9521099

m multivariate_splines.m

function test_targets = Multivariate_Splines(train_patterns, train_targets, test_patterns, params) % Classify using multivariate adaptive regression splines % Inputs: % train_patterns - Train pa
www.eeworm.com/read/362008/10023789

m multivariate_splines.m

function test_targets = Multivariate_Splines(train_patterns, train_targets, test_patterns, params) % Classify using multivariate adaptive regression splines % Inputs: % train_patterns - Train pa
www.eeworm.com/read/357874/10199059

m multivariate_splines.m

function test_targets = Multivariate_Splines(train_patterns, train_targets, test_patterns, params) % Classify using multivariate adaptive regression splines % Inputs: % train_patterns - Train pa
www.eeworm.com/read/349842/10796662

m multivariate_splines.m

function D = Multivariate_Splines(train_features, train_targets, params, region) % Classify using multivariate adaptive regression splines % Inputs: % features - Train features % targets -