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是否可以从通过 tidymodels 获得的随机森林中可视化一棵树？

[英]Is it possible to visualize an individual tree from a random forest obtained via tidymodels?

原文 2022-01-26 22:28:59 2 1 r/ random-forest/ tidymodels

Good day,再会，

for presentation purposes I would like to plot a couple of decision trees from a random forest (with about 100 trees).出于演示目的，我想 plot 来自随机森林（大约 100 棵树）的几棵决策树。 I found a post from last year where its clear is not really possible or there is not an function using tidymodels.我发现了去年的一篇文章，其中明确是不可能的，或者没有使用 tidymodels 的 function。 R: Tidymodels: Is it possible to plot the trees for a random forest model in tidy models? R：Tidymodels：是否可以在整洁的模型中使用 plot 随机森林 model 的树木？

I´m wondering if somebody has found a way, I remember I could easily do this using the "Caret" package.我想知道是否有人找到了方法，我记得我可以使用“插入符号”package 轻松做到这一点。 but tidymodels makes everything so convenient I was hoping for someone with a solution.但是 tidymodels 让一切变得如此方便，我希望有人能提供解决方案。

Many thanks!非常感谢！

1 个解决方案

Summarizing what trees can be ploted with tidymodels based in comments comments and other Stackoverflow posts根据评论评论和其他 Stackoverflow 帖子总结可以使用 tidymodels 绘制的树

Decision trees.决策树。 There are some options but the function rpart.plot() seems to be the most popular.有一些选项，但 function rpart.plot()似乎是最受欢迎的。
Individual tree from a random forest.随机森林中的一棵树。 Doesn´t seem to be possible to plot one (yet) using the tidymodel environment. plot 似乎不可能使用 tidymodel 环境。 See this post: here看到这篇文章：这里
XGBoost models: See Julia comment: XGBoost 型号：见 Julia 评论：

You should be able to use a function like xgb.plot.tree() with a trained tidymodels workflow or parsnip model by extracting out the underlying object created with the xgboost engine. You should be able to use a function like xgb.plot.tree() with a trained tidymodels workflow or parsnip model by extracting out the underlying object created with the xgboost engine. You can do this with extract_fit_engine()您可以使用extract_fit_engine()做到这一点