You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello, thanks for writing this. I've benchmarked its use against the default randomForest implementation in R and have found it to be amazingly fast.
I was hoping to be able to use this library with DataFrames, including the Model Formula format api. I know that DataFrames currently doesn't support categorical data columns, but I think it is planned to be integrated.
I can try to help contribute to this, but it would be nice if this project was merged into the JuliaStats project first (I prefer to contribute to projects that are explicitly community owned).
The text was updated successfully, but these errors were encountered:
Thanks for trying out and benchmarking the package. I've been meaning to add support for DataFrames and model formula syntax, but just haven't gotten around to it. As for merging with JuliaStats, I feel that perhaps I should write a new consistent API first (via wrappers). Let me look into it. Also, take a look at MachineLearning.jl and RandomForests.jl. Cheers.
Hello, thanks for writing this. I've benchmarked its use against the default randomForest implementation in R and have found it to be amazingly fast.
I was hoping to be able to use this library with DataFrames, including the Model Formula format api. I know that DataFrames currently doesn't support categorical data columns, but I think it is planned to be integrated.
I can try to help contribute to this, but it would be nice if this project was merged into the JuliaStats project first (I prefer to contribute to projects that are explicitly community owned).
The text was updated successfully, but these errors were encountered: