kWayStratifiedYReplace: k-fold cross validation stratified with replacement on y, a...

In WinVector/vtreat: A Statistically Sound 'data.frame' Processor/Conditioner

k-fold cross validation stratified with replacement on y, a splitFunction in the sense of vtreat::buildEvalSets .

Description

Build a k-fold cross validation sample where training sets are the same size as the original data, and built by sampling disjoint from test/application sets (sampled with replacement).

Usage

kWayStratifiedYReplace(nRows, nSplits, dframe, y)

Arguments

nRows	number of rows to split (>1)
nSplits	number of groups to split into (<nRows,>1).
dframe	original data frame (ignored).
y	numeric outcome variable try to have equidistributed in each split.

Value

split plan

Examples

set.seed(23255)
d <- data.frame(y=sin(1:100))
pStrat <- kWayStratifiedYReplace(nrow(d),5,d,d$y)

WinVector/vtreat documentation built on Aug. 29, 2023, 4:49 a.m.