JuliaAI / JuliaAI/DecisionTree.jl
weight values for the features.
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 364
- Forks
- 100
- PR merge metrics
- No merged PRs in 30d
Description
I want to assign weight values for the features.
that the split function should use the features with larger weight first.
For some of the features are more important than the others, and I want to control the split process.
Contributor guide
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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.
Research direction
Start by locating the split function and the feature-selection code in DecisionTree.jl. Determine how feature weights should be represented and applied so larger-weight features are considered first. Done means the split process accepts feature weights and uses them consistently, with tests covering the ordering and the existing behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100