I am receiving the following error when I try to load an XGBoost model and use predict:
XGBoostError: [11:42:10] ../src/data/iterative_device_dmatrix.h:50: Not implemented.
Stack trace:
[bt] (0) /usr/local/lib/python3.6/dist-packages/xgboost/lib/libxgboost.so(+0x8d264) [0x7f5c35a28264]
[bt] (1) /usr/local/lib/python3.6/dist-packages/xgboost/lib/libxgboost.so(+0x37817f) [0x7f5c35d1317f]
[bt] (2) /usr/local/lib/python3.6/dist-packages/xgboost/lib/libxgboost.so(+0x21b620) [0x7f5c35bb6620]
[bt] (3) /usr/local/lib/python3.6/dist-packages/xgboost/lib/libxgboost.so(+0x21d154) [0x7f5c35bb8154]
[bt] (4) /usr/local/lib/python3.6/dist-packages/xgboost/lib/libxgboost.so(+0x17255b) [0x7f5c35b0d55b]
[bt] (5) /usr/local/lib/python3.6/dist-packages/xgboost/lib/libxgboost.so(+0x1a2655) [0x7f5c35b3d655]
[bt] (6) /usr/local/lib/python3.6/dist-packages/xgboost/lib/libxgboost.so(XGBoosterPredict+0xd5) [0x7f5c35a1bb55]
[bt] (7) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call_unix64+0x4c) [0x7f5ce25c5dae]
[bt] (8) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call+0x22f) [0x7f5ce25c571f]
If I were to train the model and leave it in RAM, so I didn't need to load it, I don't get the error.
Here is the code I am using:
reg.save_model('/content/drive/MyDrive/Share/XGB_Final/reg1.model')
reg2 = xgb.Booster(model_file='/content/drive/MyDrive/Share/XGB_Final/reg1.model')
x = xgb.DeviceQuantileDMatrix(cp.array(data[:,1:],dtype='float32'))
yPred = reg2.predict(xDay,ntree_limit=2000)
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