iai: fit_transform – R documentation

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fit_transform

Fit an imputation model using the given features and impute the missing values in these features

Similar to calling fit followed by transform

fit_transform(lnr, X, ...)

`lnr`	The learner or grid to use for imputation
`X`	The features of the data.
`...`	Refer to the Julia documentation for available parameters.

X <- iris
X[1, 1] <- NA
grid <- iai::grid_search(
    iai::imputation_learner(),
    method = c("opt_knn", "opt_tree"),
)
iai::fit_transform(grid, X)

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