Stack Decision Region Plots in 3D
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 5.2k
- Forks
- 916
- Avg merge
- 17h 31m
- Merged PRs (30d)
- 4
Description
Hi everyone. First of all, I'm quite new at using matplotlib and mlxtend, so I apologise in advance if what I ask is stupid or simply wrong.
The thing is that I want to stack some decision region plots in 3D depending on the filler value that I set for the third feature so it looks similar to this:
From: https://kaleidoscopicdiaries.wordpress.com/2016/08/22/stacking-density-plots-in-3d-in-matplotlib/
Since the plot_decision_regions method returns a matplotlib.axes.Axes object, I have not been able to figure out how to do it properly. Is there an easy way to do it?
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 reading the plot_decision_regions implementation and how it returns a matplotlib.axes.Axes object. Compare that entry point with matplotlib's 3D plotting support and the linked stacking example; done would require a defined, tested way to render decision regions for varying third-feature filler values.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- matplotlib, python
- Domain
- data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100