edge_importance: Calculate the importance of particular edges in the graph.

In pievos101/DFNET: Network-guided greedy decision forest for feature subset selection

Calculate the importance of particular edges in the graph.

Description

Calculate the importance of particular edges in the graph.

Usage

edge_importance(graph, trees, tree_importances, mc.cores = 1, sep = "$")

Arguments

graph	The graph to analyse
trees	The decision trees returned by DFNET iterations
tree_importances	Numeric importance scores assigned to each tree
mc.cores	how many cores to use in parallel
sep	The seperator used to flatten the features from which trees were generated.

Value

the importance of each edge in graph w.r.t. trees.

See Also

Other metrics: feature_importance(), module_importance(), unique_module_importance()

pievos101/DFNET documentation built on Dec. 1, 2022, 3:44 p.m.