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/399996/7816613

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/397099/8068749

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/245941/12770763

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/330850/12864742

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/317622/13500820

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/316604/13520397

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/359185/6352488

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/493206/6398466

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/410924/11264779

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/405069/11472168

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