vaeac_check_mask_gen: Function that checks the specified masking scheme

In shapr: Prediction Explanation with Dependence-Aware Shapley Values

Function that checks the specified masking scheme

Description

Function that checks the specified masking scheme

Usage

vaeac_check_mask_gen(mask_gen_coalitions, mask_gen_coalitions_prob, x_train)

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.
x_train	A data.table containing the training data. Categorical data must have class names 1,2,\dots,K.

Value

The function does not return anything.

Author(s)

Lars Henry Berge Olsen

shapr documentation built on April 4, 2025, 12:18 a.m.