JuliaDynamics/ComplexityMeasures.jl

Performance of `AAPE` is suboptimal

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#217 opened on Dec 22, 2022

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good first issuelow priorityperformance

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Description

internal function AAPE has really bad performance, allocating 10 vectors for each element of a dataset... Thankfully it is easy to optimize it to do 0 allocations so I leave this here for a newcomer that would like to contribute.

Contributor guide

Research direction
Inspect the AAPE function, identify allocations using @allocated or Profile, and rewrite the function to avoid intermediate allocations by using in place operations or pre allocating buffers.
Tech stack
julia
Domain
data
Issue type
Performance
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
JuliaGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
80