exp-weighted mean
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
No file, test, or entry point is identified in the issue. Start by reviewing the package's existing logsumexp-related APIs and examples, then determine the intended exp-weighted mean interface and mathematical scope. Done means the feature's scope and expected behavior are agreed and covered by tests.
Written by the indexing model from the issue text.
Description
Recently I have been calculating
\frac{\sum_i \exp(w_i) \exp(z_i) }{\sum_i \exp(w_i)}
forms a lot. They usually come from parametric derivatives of logsumexp, eg
\log \sum_i \exp(a_i + z_i y)
by $y$. I wonder if it is general enough to have a place in this package.
- Dominant language
- Julia
- Stars
- 86
- Forks
- 25
- Avg merge
- 4d 7h
- Merged PRs (30d)
- 3
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from JuliaStats/LogExpFunctions.jl
-
Difficulty 1/5 Under an hour Newbie friendliness 62/100
JuliaStats/LogExpFunctions.jl#134 · 2 comments ·
-
Precision loss for BigFloat in logexpm1, logcosh and log1pmxPossibly taken @devmotion claimed this today. Open
Difficulty 4/5 3-5 days Newbie friendliness 30/100
JuliaStats/LogExpFunctions.jl#135 ·
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
JuliaStats/LogExpFunctions.jl#102 · 4 comments ·
-
log-cumsum-exp ?Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
-
Add logmeanexpMay be free again A pull request for this issue was closed without being merged. Open
Difficulty 3/5 1-2 days Newbie friendliness 35/100
JuliaStats/LogExpFunctions.jl#81 · 2 comments ·
All issues in JuliaStats/LogExpFunctions.jl
Similar issues
-
code bug PowerSystems 6.0
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
Sienna-Platform/PowerSystems.jl#1849 ·
Maintainers usually reply within 7 days
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
Maintainers usually reply within 1 day
-
Difficulty 1/5 1-3 hours Newbie friendliness 86/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
FluxML/Metalhead.jl#407 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 62/100