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gh-115727: Reduce confidence even on 100% predicted jumps by gvanrossum · Pull Request #115748 · python/cpython · GitHub

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gh-115727: Reduce confidence even on 100% predicted jumps - #115748

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gvanrossum merged 3 commits into
python:mainfrom
gvanrossum:tweak-confidence
Feb 22, 2024
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gh-115727: Reduce confidence even on 100% predicted jumps#115748
gvanrossum merged 3 commits into
python:mainfrom
gvanrossum:tweak-confidence

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gvanrossum commented Feb 21, 2024
edited by bedevere-app Bot
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The theory is that even if we saw a jump go in the same direction the last 16 times we got there, we shouldn't be overly confident that it's still going to go the same way in the future. This PR makes it so that in the extreme cases, the confidence is multiplied by 0.9 instead of remaining unchanged. For unpredictable jumps, there is no difference (still 0.5). For somewhat predictable jumps, we interpolate.

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@markshannon Please review.

vaamb commented Feb 21, 2024

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Rather than scaling arbitrarily by 90%, it could be a good idea to use Laplace's Law (https://en.wikipedia.org/wiki/Rule_of_succession) to estimate the confidence.
Basically, you just need to do +1, divided by the number of occurrences + 2, so in this case (bitcount + 1) / 18.

gvanrossum commented Feb 22, 2024
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I don't know that something like Laplace applies in this case. But mostly I can't follow the math.

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

Looks good.

gvanrossum merged commit 4ee6bdf into python:main Feb 22, 2024
gvanrossum deleted the tweak-confidence branch February 22, 2024 20:23
woodruffw pushed a commit to woodruffw-forks/cpython that referenced this pull request Mar 4, 2024
…on#115748)

The theory is that even if we saw a jump go in the same direction the
last 16 times we got there, we shouldn't be overly confident that it's
still going to go the same way in the future. This PR makes it so that
in the extreme cases, the confidence is multiplied by 0.9 instead of
remaining unchanged. For unpredictable jumps, there is no difference
(still 0.5). For somewhat predictable jumps, we interpolate.
diegorusso pushed a commit to diegorusso/cpython that referenced this pull request Apr 17, 2024
…on#115748)

The theory is that even if we saw a jump go in the same direction the
last 16 times we got there, we shouldn't be overly confident that it's
still going to go the same way in the future. This PR makes it so that
in the extreme cases, the confidence is multiplied by 0.9 instead of
remaining unchanged. For unpredictable jumps, there is no difference
(still 0.5). For somewhat predictable jumps, we interpolate.
LukasWoodtli pushed a commit to LukasWoodtli/cpython that referenced this pull request Jan 22, 2025
…on#115748)

The theory is that even if we saw a jump go in the same direction the
last 16 times we got there, we shouldn't be overly confident that it's
still going to go the same way in the future. This PR makes it so that
in the extreme cases, the confidence is multiplied by 0.9 instead of
remaining unchanged. For unpredictable jumps, there is no difference
(still 0.5). For somewhat predictable jumps, we interpolate.
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