ModelOriented / ModelOriented/DALEX
Re-engineering and parallelization of computations
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R 🐳
- Dominant language
- Python
- Stars
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Description
Candidate features for version 3.0:
- Absorbing needed functions from iBreakDown and ingredients. Shorter dependency list and easier package modification and maintenance.
- Parallelize the calculation of explanations such as model_profile, model_parts (which framework)?
Contributor 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.
Research direction
Review the existing model_profile and model_parts computations, including how framework handling is selected, and compare the functions proposed for absorption from iBreakDown and ingredients. Done would require an agreed version 3.0 design for dependency reduction and parallel computation; the issue names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100