loo_cv: Leave-One-Out Cross-Validation
In topepo/rsample: General Resampling Infrastructure
Description
Usage
Arguments
Value
Examples
Description
Leave-one-out (LOO) cross-validation uses one data point in the original set as the assessment data and all other data points as the analysis set. A LOO resampling set has as many resamples as rows in the original data set.
Usage
1
Arguments
data
A data frame.
...
Not currently used.
Value
An tibble with classes 'loo_cv', 'rset', 'tbl_df', 'tbl', and 'data.frame'. The results include a column for the data split objects and one column called 'id' that has a character string with the resample identifier.
Examples
1
topepo/rsample documentation built on May 4, 2019, 4:25 p.m.
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.
Description Usage Arguments Value Examples
Description
Leave-one-out (LOO) cross-validation uses one data point in the original set as the assessment data and all other data points as the analysis set. A LOO resampling set has as many resamples as rows in the original data set.
Usage
1 |
Arguments
data |
A data frame. |
... |
Not currently used. |
Value
An tibble with classes 'loo_cv', 'rset', 'tbl_df', 'tbl', and 'data.frame'. The results include a column for the data split objects and one column called 'id' that has a character string with the resample identifier.
Examples
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.