[REVIEW] link Logisitc MNMG via dask-glm demo to readme #3151
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| @@ -96,7 +96,7 @@ repo](https://github.com/rapidsai/notebooks-contrib). | |||
| | **Linear Models for Regression or Classification** | Linear Regression (OLS) | Multi-node multi-GPU via Dask | | |||
| | | Linear Regression with Lasso or Ridge Regularization | Multi-node multi-GPU via Dask | | |||
| | | ElasticNet Regression | | | |||
| | | Logistic Regression | | | |||
| | | Logistic Regression | Multi-node multi-GPU via Dask-GLM [demo](https://github.com/daxiongshu/rapids-demos) | | |||
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Do you have any plans to push this notebook & readme to a RAPIDS repository? It would also be useful for users to provide a link to the Dask-GLM logistic regression docs / repo.
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I was trying to push the notebook to notebooks-contrib but it seems that repo is under some changes so @JohnZed suggested to link my repo for now.
I'll add the link to dask-glm and documents in the readme of my repo. Thank you!
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Yes, I support leaving it in a personal repo with a readme now until reorganizations in notebooks-contrib etc. are finalized so we don't have to keep moving around the link.
cjnolet
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@daxiongshu can you add an entry to the changelog for this change? |
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@ajschmidt8, I've fixed the conflict here. This is ready to merge when you have a moment. |
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