Heatmap of the full node-by-class score matrix: rows are nodes (grouped
by predicted class), columns are classes, tile shading and printed
values are the spreading scores. Seed nodes (given labels) carry a
black tile border, and each node's winning class is marked with a dot,
so agreement between seeds, scores, and decisions is visible in one
panel. Rows whose winning and runner-up scores are close (small
margin) are the assignments to distrust.
Usage
# S3 method for class 'net_hg_transduction'
plot(x, ...)