hcv: Holdout Cross Vaildation
In hans0803/APLM:
View source: R/cross_validation.R
cross_validation R Documentation
Holdout Cross Vaildation
Description
split data randomly obtain prob part data on seed, and return 1-prob part with prob part data by numbering list.
Usage
hcv(data, seed, prob)
Arguments
data
what data need split
seed
random seed from r
prob
obtain how much prob part
Examples
hcv(data=iris, seed=123, prob=0.2)
hcv(data=iris, seed=123, prob=0.6)
hans0803/APLM documentation built on June 17, 2024, 5:22 a.m.
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View source: R/cross_validation.R
| cross_validation | R Documentation |
Holdout Cross Vaildation
Description
split data randomly obtain prob part data on seed, and return 1-prob part with prob part data by numbering list.
Usage
hcv(data, seed, prob)
Arguments
data |
what data need split |
seed |
random seed from r |
prob |
obtain how much prob part |
Examples
hcv(data=iris, seed=123, prob=0.2)
hcv(data=iris, seed=123, prob=0.6)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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