fit_transform_cv: Train a grid using cross-validation with features and impute...

In iai: Interface to 'Interpretable AI' Modules

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

## Not run: 
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)

## End(Not run)

iai documentation built on Oct. 19, 2024, 1:07 a.m.