adelie (version 1.0.7)

matrix.convex_relu: Creates a feature matrix for the convex relu problem.

Description

Creates a feature matrix for the convex relu problem.

Usage

matrix.convex_relu(mat, mask, gated = FALSE, n_threads = 1)

Value

Convex relu feature matrix. The object is an S4 class with methods for efficient computation in C++ by adelie.

Arguments

mat

Base feature matrix. It is either a dense or sparse matrix.

mask

Boolean mask matrix.

gated

Flag to indicate whether to use the convex gated relu feature matrix.

n_threads

Number of threads.

Author

Trevor Hastie and James Yang
Maintainer: Trevor Hastie

Examples

n <- 100
p <- 20
m <- 10
Z_dense <- matrix(rnorm(n * p), n, p)
mask <- matrix(rbinom(n * m, 1, 0.5), n, m)
out <- matrix.convex_relu(Z_dense, mask)
Z_sparse <- as(Z_dense, "dgCMatrix")
out <- matrix.convex_relu(Z_sparse, mask)