JuliaAI / JuliaAI/DecisionTree.jl
How to plot a decision tree (using a graphics package)
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- Dominant language
- Julia
- Stars
- 364
- Forks
- 100
- PR merge metrics
- No merged PRs in 30d
Description
Is there a possibility to plot a decision tree using Plots.jl (or some other graphics package)?
I'm using MLJ and the only means to visualize a decision tree seems to be report(mach).print_tree(n) where mach is the trained machine.
If there is no such possibility: How can I access the tree (data structure) directly in MLJ?
Contributor guide
No contributing guide indexed for this repository
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 reviewing the MLJ entry point report(mach).print_tree(n) and the proposed Plots.jl integration. Determine whether plotting support or direct tree-data access is intended, and treat the work as complete only once the chosen interface and its expected output are defined.
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