vaeac_extend_batch: Extends Incomplete Batches by Sampling Extra Data from...

In shapr: Prediction Explanation with Dependence-Aware Shapley Values

Extends Incomplete Batches by Sampling Extra Data from Dataloader

Description

If the height of the batch is less than batch_size, this function extends the batch with data from the torch::dataloader() until the batch reaches the required size. Note that batch is a tensor.

Usage

vaeac_extend_batch(batch, dataloader, batch_size)

Arguments

batch	The batch we want to check if has the right size, and if not extend it until it has the right size.
dataloader	A torch::dataloader() object from which we can create an iterator object and load data to extend the batch.
batch_size	Integer. The number of samples to include in each batch.

Value

Returns the extended batch with the correct batch_size.

Author(s)

Lars Henry Berge Olsen

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