JuliaAI / JuliaAI/MLJLinearModels.jl
Types workflow
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 86
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
What happens if input data is entered as integer? as float32, how about the target? verify that it's consistent (at least with float64)
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First steps
- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Locate the type-handling paths for input data and targets, then compare behavior for integers, Float32, and Float64. Done means the supported input and target types behave consistently, with tests covering the cases in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100