iai: fit_transform_cv – R documentation

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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

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)

iai

Interface to 'Interpretable AI' Modules

v1.5.0

MIT + file LICENSE

Authors

Jack Dunn [aut, cre], Ying Zhuo [aut], Interpretable AI LLC [cph]

Initial release

fit_transform_cv

Description

Usage

Arguments

Examples

iai

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