chenhongge / robusttrees Goto Github PK

Environnment :

Python 3.6 with ubuntu

Bug :

The monotone_constraints parameters have unexpected behavior with the robust tree method.

Condition :

XGBRegressor(monotone_constraints = monotone_constraints, tree_method = 'exact') works fine, but XGBRegressor(monotone_constraints = monotone_constraints, tree_method = 'robust_exact', robust_eps = 0) have different behavior.

(First time posting an issue, let me know if you want more information, and thank you anyway for this great code that you've provided !)

I am trying to follow the README to get started with this project. So far I ran

make

in the xgboost directory. I successfully created the project. Then I downloaded the conf files by running

./download_data.sh

Then I went up a directory and I gave permissions to xgboost like so

chmod +x ./xgboost

I followed the example

./xgboost data/ori_mnist.conf

However, I get back

zsh: permission denied: ./xgboost

I manually installed xgboost with pip. It works for some cases, but not for the one shown below:

xgboost data/ori_mnist.conf       
Error running xgboost:

Invalid Input: 'robust_exact', valid values are: {'approx', 'auto', 'exact', 'gpu_hist', 'hist'}
Use xgboost -h for showing help information.

Thank you again for your paper and presentation. I absolutely love the idea! I was wondering if there is any effort underway to have this idea on scikit-learn or xgboost libraries? A "robustness" parameter for the model classes.