iai (version 1.0.0)

fit_transform_cv: fit_transform_cv

Description

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

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.

Details

Julia Equivalent: IAI.fit_transform_cv!

Examples

# NOT RUN {
X <- iris
X[1, 1] <- NA
iai::iai_setup()
grid <- iai::grid_search(
    iai::imputation_learner(),
    method = c("opt_knn", "opt_tree"),
)
iai::fit_transform_cv(grid, X)
# }