Scikit-learn example for random forest with Joblib
- Dominant language
- Python
- Stars
- 951
- Forks
- 262
- PR merge metrics
- No merged PRs in 30d
Description
It would be nice to see an example using Scikit-Learn's RandomForest parallelized with Dask using the joblib/dask connection. This is a common question, and so probably has high value.
My understanding is that this will depend on the 0.20 release of scikit-learn first, though I could be mistaken about this.
It would also be useful for this to be smoothly runnable on [dask-examples](https://github.com/dask/dask-examples#contributing)
Contributor guide
Research direction
Start by checking the scikit-learn 0.20 dependency mentioned in the issue and the contribution guidance in dask-examples. The work is done when a runnable example demonstrates a RandomForest parallelized with Dask through the joblib connection and fits the dask-examples contribution requirements.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, scikit-learn
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100