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Adding XGBoost, LightGBM & CatBoost modeling in JMP 'decision tree' menu

As you know, many of data scientist use XGBoost, LightGBM, and CatBoost (gradient boosting decision tree) to solve their problems by using Python.

Could you add these modelings in the decision tree menu (JMP) as well?

If it can be provided by JMP Script Language (JSL), it will be great as well. Thank you. : )

 

Reference: https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree.pdf

 

 

 

 

Automation and ScriptingRe: Adding XGBoost, LightGBM & CatBoost modeling in JMP 'decision tree' menu - Status changed to: Acknowledged

Hi @Steve_Kim, thank you for your suggestion! We have captured your request and will take it under consideration.

Re: Adding XGBoost, LightGBM & CatBoost modeling in JMP 'decision tree' menu

Thank you for the amazing update!:)
I tested XGboost addin, and it works well~! (Impressive for the value-added functionality !)
As you know, XGboost is a level-wise tree growth and MS LightGBM is a leaf-wise tree growth.
I hope JMP can add a leaf-wise growth method option someday.

Re: Adding XGBoost, LightGBM & CatBoost modeling in JMP 'decision tree' menu

XGBoost can now be utilized in JMP, if you download the XGBoost Addin from the File Exchange:  Betreff: XGBoost Add-In for JMP Pro 

 

Re: Adding XGBoost, LightGBM & CatBoost modeling in JMP 'decision tree' menu

Please add Extreme Gradient Boosting as mentioned in the above comment as well as Adaptive Boosting (AdaBoost). These 2 methods are very more accurate compared to most other techniques.

Re: Adding XGBoost, LightGBM & CatBoost modeling in JMP 'decision tree' menu - Status changed to: Yes, Stay Tuned!

@Steve_Kim this will come as an addin