holdout: Plain holdout resampling.
In funcml: Functional Machine Learning Framework
holdout R Documentation
Plain holdout resampling.
Description
Plain holdout resampling.
Usage
holdout(prop = 0.8, strata = TRUE, seed = NULL)
Arguments
prop
Training-set proportion.
strata
Logical; stratify classification outcomes.
seed
Optional seed.
Value
A funcml_cv object.
Examples
holdout(prop = 0.75, seed = 1)
funcml documentation built on Aug. 22, 2026, 5:08 p.m.
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| holdout | R Documentation |
Plain holdout resampling.
Description
Plain holdout resampling.
Usage
holdout(prop = 0.8, strata = TRUE, seed = NULL)
Arguments
prop |
Training-set proportion. |
strata |
Logical; stratify classification outcomes. |
seed |
Optional seed. |
Value
A funcml_cv object.
Examples
holdout(prop = 0.75, seed = 1)
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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