Webcsdn已为您找到关于crossvalind用法相关内容,包含crossvalind用法相关文档代码介绍、相关教程视频课程,以及相关crossvalind用法问答内容。为您解决当下相关问题,如果想了解更详细crossvalind用法内容,请点击详情链接进行了解,或者注册账号与客服人员联系给您提供相关内容的帮助,以下是为您准备的 ... WebFeb 19, 2014 · crossvalind <- function (N, kfold) { len.seg <- ceiling (N/kfold) incomplete <- kfold*len.seg - N complete <- kfold - incomplete ind <- matrix (c (sample (1:N), rep (NA, incomplete)), nrow = len.seg, byrow = TRUE) cvi <- lapply (as.data.frame (ind), function (x) c (na.omit (x))) # a list return (cvi) }
Matlab交叉验证函数——crossvalind - 百度文库
WebFeb 23, 2015 · [trainP,valP,testP] = divideind (p,trainInd,valInd,testInd); [trainT,valT,testT] = divideind (t,trainInd,valInd,testInd); indices = crossvalind ('Kfold',species,5) cp = classperf (species); for i... WebNov 6, 2024 · Description描述 Indices = crossvalind ('Kfold', N, K) Indices为交叉验证索引产生的索引矩阵 (向量),其值矩阵中的值均小于K,K是交叉验证的参数,如10折交叉验证 … scrat tails
crossvalind function doesn
WebOct 2, 2016 · 1. crossvalind () function splits your data in two groups: the training set and the cross-validation set. By your example: [trainIdx testIdx] = crossvalind ('HoldOut', size (species,1), 1/3); means split the data in species (2/3 in the training set and 1/3 in the … WebJan 25, 2024 · 3 Answers. Sorted by: 2. I will modify your code to show how a 9-fold cross-validation can be done for each user independently. That means, each user will have its own train-test folds. First of all, 9-fold cross-validation means to user 8/9-th data for training and 1/9-th for testing. Repeat this nine times. clear; for nc = 1:36 % nc number of ... WebDescription Indices = crossvalind ('Kfold', N, K) returns randomly generated indices for a K-fold cross-validation of N observations. Indices contains equal (or approximately equal) proportions of the integers 1 through K that define a partition of the N observations into K disjoint subsets. scrat tails 2022