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#### Describe the workflow you want to enable
We are proposing to add a cythonized module that allows for building oblique trees.
Oblique trees originally proposed by, Breiman 2001 [1], would enab…
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Thoughts after DUSC workshop 15/11/23:
- Using a different dataset that has a more even spread (50:50) between the two classes would make the bias-variance tradeoff clearer
- Also using a non-medi…
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We are planning to expand the platform further and trying to bring in more quality content for the page. Suggestions regarding what should be added to the Intermediate Track are welcome under this iss…
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### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/22042
Originally posted by **PGijsbers** December 21, 2021
I want to obtain scores for a random forest with a differen…
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Several of these have benchmarks defined, just not added to ci_benchmark
- [ ] Random forests
- [ ] SVM
- [ ] ARIMA
- [ ] UMAP
- [ ] FIL
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Look at:
- cancor, FactoMineR and CCP for canonical correlation
- high correlation
- random forests
- clusters for regions and all
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Hello, I have a new model request: Mixed effect random forest (MERF). There are a few packages that support them in R. I'm not sure if this is the proper package for it.
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Hi Stephan,
I was just thinking, would it make sense / be feasible to include splitting rules and/or "honesty" as described in `S. Athey, J. Tibshirani, and S. Wager. Generalized random forests. The …
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could be random forests, boosted regression trees, or similar
would have the benefit of considering interactions among explanatory variables more effectively
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At step 7 in https://github.com/random-forests/tensorflow-workshop/blob/master/setup/install-docker-cloud.md, bash responds with `git: command not found`
ras44 updated
6 years ago