vaeac_get_mask_generator_name: Function that determines which mask generator to use

In shapr: Prediction Explanation with Dependence-Aware Shapley Values

Function that determines which mask generator to use

Description

Function that determines which mask generator to use

Usage

vaeac_get_mask_generator_name(
  mask_gen_coalitions,
  mask_gen_coalitions_prob,
  masking_ratio,
  verbose
)

Arguments

mask_gen_coalitions	Matrix (default is NULL). Matrix containing the coalitions that the vaeac model will be trained on, see specified_masks_mask_generator(). This parameter is used internally in shapr when we only consider a subset of coalitions, i.e., when n_coalitions < 2^{n_{\text{features}}}, and for group Shapley, i.e., when group is specified in explain().
mask_gen_coalitions_prob	Numeric array (default is NULL). Array of length equal to the height of mask_gen_coalitions containing the probabilities of sampling the corresponding coalitions in mask_gen_coalitions.
masking_ratio	Numeric (default is 0.5). Probability of masking a feature in the mcar_mask_generator() (MCAR = Missing Completely At Random). The MCAR masking scheme ensures that vaeac model can do arbitrary conditioning as all coalitions will be trained. masking_ratio will be overruled if mask_gen_coalitions is specified.
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.