fit_cv: Fits a grid search to the training data with cross-validation

In iai: Interface to 'Interpretable AI' Modules

Fits a grid search to the training data with cross-validation

Description

Julia Equivalent: IAI.fit_cv!

Usage

fit_cv(grid, X, ...)

Arguments

grid	The grid to fit.
X	The features of the data.
...	Other parameters, including zero or more target vectors as required by the problem type. Refer to the Julia documentation for available parameters.

Examples

## Not run: 
X <- iris[, 1:4]
y <- iris$Species
grid <- iai::grid_search(
    iai::optimal_tree_classifier(max_depth = 1),
)
iai::fit_cv(grid, X, y)

## End(Not run)

iai documentation built on July 9, 2023, 5:41 p.m.