Skip to contents

Wrapper for glmnet::bigGlm()

Source: R/ml_wrappers.R
mdl_bigGLM.Rd

Simple wrapper for glmnet::bigGlm(), designed for sparse matrices.

Usage

mdl_bigGlm(y, X, ...)

Arguments

y

The outcome variable.

X

The (sparse) feature matrix.

...

Additional arguments passed to bigGlm. See glmnet::bigGlm() for a complete list of arguments.

Value

mdl_bigGlm returns an object of S3 class mdl_bigGlm.

See also

glmnet::bigGlm()

Other ml_wrapper: mdl_glm(), mdl_glmnet(), mdl_ranger(), mdl_xgboost(), ols()

Examples

bigglm_fit <- mdl_bigGlm(rnorm(100), matrix(rnorm(1000), 100, 10))
class(bigglm_fit)
#> [1] "mdl_bigGlm" "list"