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Efficient Discrete Elimination #1590
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Again a PR that seems to be mixing a key new implementation of probabilities
and some unrelated TableFactor changes? Split if possible, and I'd love to see
- an explanation in the code as to how the new implementation works and how it assigns a probability for all assignments
- some unit tests with pruned trees? Do they exist already?
} | ||
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// Go through the tree | ||
this->apply([&](const Assignment<Key> a, double p) { |
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const & ?
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I'd prefer if you don't use the lambda in place but create op
using an auto and properly document what it does.
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Done
for (auto&& k : diff) { | ||
nrAssignments *= cardinalities_.at(k); | ||
} | ||
probs.insert(probs.end(), nrAssignments, p); |
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What is happening here? probs is a vector, right?
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Yes. This is adding the value p
to probs
, nrAssignments
times.
This is because I also didn't want to waste CI resources and have to wait potentially another couple of weeks for a review, hence the kitchen sink approach. |
@dellaert updated as per review. I already have a whole unit test dedicated to pruning in |
Updated the discrete elimination process to be ultra performant.
Current timing results:
We have successfully obtained sub-millisecond performance on this test.