Add a random forest ennuf model
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
Requires completion of #2 first.
The existing ennuf model is really only a neural network model.
An additional model class should be created in a similar manner, representing random forests.
Afterwards, this will then require new translation functions that construct instances of this class, given a random forest instance made using an external library (e.g. sklearn) (should probably be a second ticket)
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 issue #2 and the existing ennuf neural network model to understand the expected model-class structure. The work is complete when a comparable model class represents random forests; translation functions for external-library instances are explicitly deferred to a separate ticket.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100