API for Marchen/cv.models
Model Selection and Hyper-Parameter Tuning by Cross Validation

Global functions
apply.grid Source code
apply.grid.for.object Source code
calculate.distance.between.train.and.test Source code
calculate.mess Source code
cv.group Source code
cv.group.from.group Source code
cv.group.random Source code
cv.group.stratified Source code
cv.metrics Source code
cv.models Source code
cv.models.object Source code
deg2rad Source code
determine.positive.class Source code
extract.fit Source code
extract.fit.cv.best.models Source code
extract.fit.cv.models Source code
extract.fit.cv.result Source code
extract.metrics Source code
extract.result Source code
find.best.metrics.index Source code
find.best.models Source code
find.vincenty.parameters Source code
fit.cv.models Source code
forecast.horizon Source code
geographic.distance Source code
make.prediction Source code
merge.grid.and.cv.results Source code
merge.grid.and.metrics Source code
mess Source code
model.one.fold Source code
plot.cv.models Source code
print.cv.best.models Source code
print.cv.models Source code
print.cv.result Source code
set.seed.if.possible Source code
swap.list.hierarchy Source code
vincenty.distance Source code
which.max.multi Source code
which.max.multi.data.frame Source code
which.max.multi.list Source code
which.max.multi.matrix Source code
which.max.multi.numeric Source code
which.min.multi Source code
which.min.multi.data.frame Source code
which.min.multi.list Source code
which.min.multi.matrix Source code
which.min.multi.numeric Source code
which.min.or.max.multi Source code
Marchen/cv.models documentation built on Sept. 2, 2020, 2:04 a.m.