dask / dask/dask-ml

Scikit-learn example for random forest with Joblib

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#231 9 comments 2 reactions 0 assignees View on GitHub
Documentation good first issue
Dominant language
Python
Stars
951
Forks
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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

Open the contributing 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

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