Using xgboost in azure ML environment - python-3.x

Question

I cannot succeed to use xgboost package in Azure Machine Learning Studio interpreter. I am trying to import a model using xgboost that I trained in order to deploy it here. But It seems that my package is not set correctly because I cannot access to certain functions, particularly "xgboost.sklearn"
My model is of course using the xgboost.sklearn.something to do the classification
I tried to implement the package following two different methods :
from the tar.gz principle like here :
How can certain python libraries be imported in azure ML?Like the line import humanfriendly gives error
and also by clean package with the sandbox like there :
Uploading xgboost to azure machine learning: %1 is not a valid Win32 application\r\nProcess returned with non-zero exit code 1
import sys
import sklearn
import pandas as pd
import pickle
import xgboost
def azureml_main(dataframe1 = None, dataframe2 = None):
sys.path.insert(0,".\Script Bundle")
model = pickle.load(open(".\\Script
Bundle\\xgboost\\XGBv1.pkl",'rb'))
dataframe1, dftrue = filterdata(dataframe1)
## one processing step
pred = predictorV1(dataframe1,dftrue)
dataframe1['Y'] = pred
return dataframe1
Here is the error I get
Error 0085: The following error occurred during script evaluation, please view the output log for more information:
---------- Start of error message from Python interpreter ----------
Caught exception while executing function: Traceback (most recent call last):
File "C:\server\invokepy.py", line 199, in batch
odfs = mod.azureml_main(*idfs)
File "C:\temp\1098d8754a52467181a9509ed16de8ac.py", line 89, in azureml_main
model = pickle.load(open(".\\Script Bundle\\xgboost\\XGBv1.pkl", 'rb'))
ImportError: No module named 'xgboost.sklearn'
Process returned with non-zero exit code 1
---------- End of error message from Python interpreter ----------
Start time: UTC 05/22/2019 13:11:08
End time: UTC 05/22/2019 13:11:49