JuliaAI / JuliaAI/StatisticalMeasures.jl
median absolute error
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 23
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
I found a paper using this
Its simple enough to implement:
median_absolute_error(ŷ, y) =median(abs.(ŷ .- y))
const mdae = median_absolute_error
Its not the fastest measure to compute, but on most sizes of test data it is going to be cheap vs training.
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Research direction
The issue provides a Julia implementation sketch but names no repository files or tests. Start by locating existing statistical measure implementations and their test conventions; done means median absolute error is integrated consistently with those measures and its behavior is covered.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100