iai (version 1.10.2)

fit_transform_cv: Train a grid using cross-validation with features and impute all missing values in these features

Description

Julia Equivalent: IAI.fit_transform_cv!

Usage

fit_transform_cv(grid, X, ...)

Arguments

grid

The grid to use for imputation

X

The features of the data.

...

Refer to the Julia documentation for available parameters.

Examples

if (FALSE) {
X <- iris
X[1, 1] <- NA
grid <- iai::grid_search(
    iai::imputation_learner(),
    method = c("opt_knn", "opt_tree"),
)
iai::fit_transform_cv(grid, X)
}