Automated R-Shiny based UI platform to create and deploy a XGBoost model on ANY dataset. It also includes black box ML interpretation techniques such as PDP, ALE Plots, permutation importance to uncover the importance, direction and magnitude of variables with respect to the dependent variable. Additionally, the package includes techniques to extract the most predictive feature interactions from XGBoost trees.
-
Notifications
You must be signed in to change notification settings - Fork 1
Automated R-Shiny based UI platform to create and deploy a XGBoost model on ANY dataset. Additionally it also includes black box interpretation techniques such as PDP, ALE Plots, permutation importance.
keshavbhandari/Gredel
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Automated R-Shiny based UI platform to create and deploy a XGBoost model on ANY dataset. Additionally it also includes black box interpretation techniques such as PDP, ALE Plots, permutation importance.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published