JuliaAI / JuliaAI/DecisionTree.jl
Multi-output (multi-target) problems
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 364
- Forks
- 100
- PR merge metrics
- No merged PRs in 30d
Description
Hi, is it possible to do something like the multi-output from scikit-learn in Julia? Cause my input matrix has 3 features, and I have 12 different outputs per example.
I tried to train 12 separate trees, but this didn't work.
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First steps
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Research direction
The issue does not name a file, test, or entry point; start by locating the tree-training API in DecisionTree.jl and reviewing how targets are represented. Define the expected multi-output behavior using the reported three-feature, twelve-output example, then add coverage demonstrating that 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