Unknown Objective Function binary:logistic - XGBoost Error Pickle File

I am trying to open a pickled model onto a cloud-based server. The XGBoost version is 0.82 and my local machine’s version is 0.90 (where the pickled model was created). The Python versions are also different (3.6.4 Cloud and 3.7 Local).

I have seen in other forum responses that I may need to edit the pickle file. Is there a different objective function name for Logistic Classifier that I should be using for the XGBoost 0.82 Version?
Thank you!

When loading the model, I get the following error:

XGBoostError: b'[22:05:10] /workspace/src/objective/objective.cc:23: Unknown objective function binary:logistic\n\nStack trace returned 10 entries:\n[bt] (0) /app/.runtimes/python/lib/python3.6/site-packages/xgboost/./lib/libxgboost.so(dmlc::StackTrace(unsigned long)+0x47) [0x7f971c11cfc7]\n[bt] (1) /app/.runtimes/python/lib/python3.6/site-packages/xgboost/./lib/libxgboost.so(xgboost::ObjFunction::Create(std::string const&)+0x449) [0x7f971c174b09]\n[bt] (2) /app/.runtimes/python/lib/python3.6/site-packages/xgboost/./lib/libxgboost.so(xgboost::LearnerImpl::Load(dmlc::Stream*)+0x3a9) [0x7f971c1fb449]\n[bt] (3) /app/.runtimes/python/lib/python3.6/site-packages/xgboost/./lib/libxgboost.so(XGBoosterLoadModelFromBuffer+0x50) [0x7f971c113850]\n[bt] (4) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call_unix64+0x4c) [0x7f97a75a4adc]\n[bt] (5) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call+0x1fc) [0x7f97a75a440c]\n[bt] (6) /app/.runtimes/python/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(_ctypes_callproc+0x293) [0x7f97a77b88f3]\n[bt] (7) /app/.runtimes/python/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(+0x8e4f) [0x7f97a77afe4f]\n[bt] (8) /app/.runtimes/python/bin/…/lib/libpython3.6m.so.1.0(_PyObject_FastCallDict+0x8b) [0x7f97af573cdb]\n[bt] (9) /app/.runtimes/python/bin/…/lib/libpython3.6m.so.1.0(+0x164e18) [0x7f97af665e18]\n\n’

You should downgrade the local machine’s XGBoost to 0.82, to match the version in the cloud server. XGBoost only promises backward compatibility, so you can load 0.82 model into 0.90 but not 0.90 model into 0.82. (Analogy: you cannot play Blu-Ray disc with a DVD player, but you can play a DVD disc with a Blu-Ray player.)