DecisionTree.jl
DecisionTree.jl copied to clipboard
JuliaAI
Julia implementation of Decision Tree (CART) and Random Forest algorithms
This adds the change mentioned in #159, removing the (quite large) performance discrepancy between predicting with and without probability. I'd like to see the evaluation of decision paths be improved,...
Is there a possibility to plot a decision tree using `Plots.jl` (or some other graphics package)? I'm using MLJ and the only means to visualize a decision tree seems to...
I'm trying to train a `RandomForestRegressor` using [`DecisionTree.jl`][1] and `RandomizedSearchCV` (contained in [`ScikitLearn.jl`][2]) in Julia. Primary datasets like `x_train` and `y_train` etc. are [provided in my google drive][3] as well,...
I was playing around with DecisionTree.jl for a potential project and found that I could not produce a regression tree from a single feature. I have made changes to allow...
Hello, I'd love to use DecisionTree.jl for a project I'm currently working on, as it's great in lot of ways. Speedy to train, players nicely with AbstractTrees, etc. Unfortunately, saying...
As per the [package naming guidelines](https://julialang.github.io/Pkg.jl/v1/creating-packages/#Package-naming-guidelines-1) in the Pkg.jl docs.
I've been comparing some random forest implementations recently (https://github.com/tecosaur/TreeComparison), one of the results of which is #159, but I also have some other information which may be of interest. For...
Is there any chance you can add something similar to lightgbm.LGBMRanker()? There doesn't seem to be any way of doing this easily in Julia without having to use PyCall and...
These seems to work (at least for regressors) but I couldn't find this documented.