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To evaluate the implications of more complex feature functions we should add random forests to the model family. More specifically we need to:
- [ ] specify how random forests fit in the model family…
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Hola! No entiendo muy bien como tiene que ser el bagging en el random forest, y a qué se refiere F, me podrían explicar un poco?
Lo que por ahora entiendo, y que averigüé un poco mas en Wikipedia, …
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Hi can you also provide the tree interpreter on survival random forests? In python or R. Is it planned?
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### Describe the workflow you want to enable
I am part of the @neurodata team. We are proposing to add a cythonized module that allows for building oblique trees.
Oblique trees, otherwise known …
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Many thanks for a great package.
I've noticed a small inconsistency concerning random forests: the key in `foo.best_config()` is `max_leaves`, which differs from sklearn's `max_leaf_nodes`.
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Random forests model is mentioned in the FedTree draft paper, could you please add some example code for that
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Is there any parameter/variable which states the minimum number of "uncensored samples" required to be at a leaf node? I think it's called "a minimum of d0 > 0 unique deaths" in the original paper.
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Determine which index best discriminates between burned and unburned areas.
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# Tune random forests for #TidyTuesday IKEA prices | Julia Silge
Use tidymodels scaffolding functions for getting started quickly with commonly used models like random forests.
[https://juliasilge.c…
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I almost had a heart attack.
Please, tell me I am wrong.