Issue with XGBoost loading a pretrained model in a custom raster function about raster-functions

[DeniseGIS]

Federal NORUS customer submitted Secure Support Case 03497602 to report an issue with a custom raster function that includes importing a pretrained xgboost machine-learning model that won't import for them.

The user has written a custom raster function that provides and empty output. When the user runs the same script as a Notebook, the script runs as we would expect and provides and output. However, this only seems to not work when ran as a raster function. User has ran the script through Pickle and it seems that the script fails when importing the xgboost model. The primary source that the user used to create the raster function is from GitHub: https://github.com/Esri/raster-functions/wiki/PythonRasterFunction#anatomy-of-a-python-raster-function [github.com].

Support troubleshooting discovered the function was obtained from https://github.com/Esri/raster-functions/wiki/PythonRasterFunction#anatomy-of-a-python-raster-function and directed user to submit the issue here https://github.com/Esri/raster-functions and then discovered customer already logged an issue, #84

Support has reproduced this issue yet GitHub licensing section clearly states "Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License." Support cannot assist the customer further.
Support analyst: Taylor Jones,