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Hello,
I trained a Custom Python model with the XGBoost code sample using the built-in env but got an error, "Coefficients are not defined for Booster type gbtree". Please find details in the attached images.
Do I need to install any package or update anything?
Thanks!
Operating system used: Windows 10
  
Hi,
This is indeed a bug that is planned to be fixed in the next DSS version. In the meantime, you can use this code sample as a workaround
from sklearn.base import BaseEstimator
import xgboost as xgb
class DSSXGBRegressor(BaseEstimator):
def __init__(self, **kwargs):
self.clf = xgb.XGBRegressor(**kwargs)
def fit(self, X, y):
self.clf.fit(X,y)
def predict(self, X):
return self.clf.predict(X)
def get_params(self, deep=False):
return self.clf.get_params(deep)
clf = DSSXGBRegressor(booster='gblinear', gamma=0, max_depth=6, min_child_weight=1)