instantiate xgboost regression for airbnb

airbnb_xgb_reg.py

#instantiate model
xgb_reg = xgb.XGBRegressor()
# combine both preprocessing and modeling
xgb_pipe = Pipeline([
   ('preprocess', comprehensive_preprocessing),
   ('xgboost', xgb_reg)
])
#fit pipe
xgb_pipe.fit(X_train,y_train)
#add model to truera
tru.add_python_model("xgb_pipe", xgb_pipe, pipeline_feature_map = feature_map_data)