## Mercurial > repos > shellac > sam_consensus_v3

### view env/lib/python3.9/site-packages/networkx/algorithms/moral.py @ 0:4f3585e2f14b draft default tip

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"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"

author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |

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r"""Function for computing the moral graph of a directed graph.""" from networkx.utils import not_implemented_for import itertools __all__ = ["moral_graph"] @not_implemented_for("undirected") def moral_graph(G): r"""Return the Moral Graph Returns the moralized graph of a given directed graph. Parameters ---------- G : NetworkX graph Directed graph Returns ------- H : NetworkX graph The undirected moralized graph of G Notes ------ A moral graph is an undirected graph H = (V, E) generated from a directed Graph, where if a node has more than one parent node, edges between these parent nodes are inserted and all directed edges become undirected. https://en.wikipedia.org/wiki/Moral_graph References ---------- .. [1] Wray L. Buntine. 1995. Chain graphs for learning. In Proceedings of the Eleventh conference on Uncertainty in artificial intelligence (UAI'95) """ if G is None: raise ValueError("Expected NetworkX graph!") H = G.to_undirected() for preds in G.pred.values(): predecessors_combinations = itertools.combinations(preds, r=2) H.add_edges_from(predecessors_combinations) return H