softsys4ai / unicorn

A Framework for Reasoning about System Performance using Causal AI

MIT License

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Policies for handing edge-type mismatches #11

Closed rahlk closed 4 years ago

rahlk commented 4 years ago

When are the policies applied?

bi-directed & no-edge → we get a confidence score- whichever edge direction has the highest confidence use that direction.
Un-directed edge & no-edge → no edge
Tail has a bubble and head has arrow → keep the directed edge and remove the bubble
No-edge & edge → edge
No-edge & no-edge → no-edge

When are the policies applied?

Bubble/un-directed edge - selection variables Bi-directed edge - hidden variables

When are the policies applied?

Case 1: Greedy-- apply the above rules at every step
- At each iteration there is a DAG (say DAG_t, DAG_t-1, ...)
- If there are conflicts keep the counts of how many times an edge a->b, b->a, a--/--b, appears, use the one that the max count.
Case 2: Apply in the end.