vaeac_check_cuda: Function that checks for access to CUDA

In shapr: Prediction Explanation with Dependence-Aware Shapley Values

Function that checks for access to CUDA

Description

Function that checks for access to CUDA

Usage

vaeac_check_cuda(cuda, verbose)

Arguments

cuda

Logical (default is FALSE). If TRUE, then the vaeac model will be trained using cuda/GPU. If torch::cuda_is_available() is FALSE, we fall back to using the CPU. Using a GPU for smaller tabular dataset often do not improve the efficiency. See vignette("installation", package = "torch") fo help to enable running on the GPU (only Linux and Windows).

verbose

String vector or NULL. Controls verbosity (printout detail level) via one or more of "basic", "progress", "convergence", "shapley" and "vS_details". "basic" (default) displays basic information about the computation and messages about parameters/checks. "progress" displays where in the calculation process the function currently is. "convergence" displays how close the Shapley value estimates are to convergence (only when iterative = TRUE). "shapley" displays intermediate Shapley value estimates and standard deviations (only when iterative = TRUE), and the final estimates. "vS_details" displays information about the v(S) estimates, most relevant for approach %in% c("regression_separate", "regression_surrogate", "vaeac"). NULL means no printout. Any combination can be used, e.g., verbose = c("basic", "vS_details").

Value

The function does not return anything.

Author(s)

Lars Henry Berge Olsen

shapr documentation built on Aug. 25, 2025, 5:11 p.m.