`fit_with_features` attribute for models
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- machine-learning, python
- Domain
- machine-learning
Research direction
Start by reading the model fitting entry points and feature handling in the repository; the issue does not name specific files or tests. Decide how models should record whether features were used, and whether users should be able to choose this during fitting. Done means the behavior and its meaning are clearly defined and users can inspect whether a model was fitted with features.
Written by the indexing model from the issue text.
Description
Feature Description
Attribute that specifies if model uses features when fitting.
Another option is to allow user to choose if he wants model to use features. Yet to be discussed
Why this feature?
Users can know if models was fitted with features.
Additional context
No response
- Dominant language
- Python
- Stars
- 457
- Forks
- 55
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
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.
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