Passive Learning (Active Learning Algorithm Benchmark) Randomly orders candidate intervention targets.
1 | passive_learning(dags, candidates, cluster = NULL, debug = FALSE)
|
candidates |
candidate intervention targets |
debug |
if TRUE prints messages useful for debugging. |
.data |
the historic data used to generate edge probabilities. |
algorithm.args |
arguments passed to the structure inference algorithm used to calculate edge probabilities. |
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