Check failed: base_score > 0.0f && base_score < 1.0f: base_score must be in (0,1) for logistic loss, got: -0 when copy underlying booster

[sh1ng]

version 1.1

Looks similar to #5276

[2020-05-22T15:21:46.406Z] xgboost.core.XGBoostError: [15:21:45] /root/repo/xgboost/src/objective/./regression_loss.h:89: Check failed: base_score > 0.0f && base_score < 1.0f: base_score must be in (0,1) for logistic loss, got: -0
[2020-05-22T15:21:46.406Z] Stack trace:
[2020-05-22T15:21:46.406Z]   [bt] (0) /opt/h2oai/dai/cpu-only/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6a) [0x1506d9a1377a]
[2020-05-22T15:21:46.406Z]   [bt] (1) /opt/h2oai/dai/cpu-only/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(xgboost::obj::LogisticRegression::ProbToMargin(float)+0xbf) [0x1506d9cf650f]
[2020-05-22T15:21:46.406Z]   [bt] (2) /opt/h2oai/dai/cpu-only/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(xgboost::LearnerIO::LoadModel(dmlc::Stream*)+0x14d2) [0x1506d9b23672]
[2020-05-22T15:21:46.406Z]   [bt] (3) /opt/h2oai/dai/cpu-only/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(xgboost::LearnerIO::Load(dmlc::Stream*)+0x2c4) [0x1506d9b21c84]
[2020-05-22T15:21:46.407Z]   [bt] (4) /opt/h2oai/dai/cpu-only/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(XGBoosterUnserializeFromBuffer+0x4e) [0x1506d9a1a74e]
[2020-05-22T15:21:46.407Z]   [bt] (5) /opt/h2oai/dai/lib/libffi.so.6(ffi_call_unix64+0x4c) [0x1507b54c6e2c]
[2020-05-22T15:21:46.407Z]   [bt] (6) /opt/h2oai/dai/lib/libffi.so.6(ffi_call+0x1f5) [0x1507b54c6755]
[2020-05-22T15:21:46.407Z]   [bt] (7) /opt/h2oai/dai/python/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(_ctypes_callproc+0x283) [0x1507b56da683]
[2020-05-22T15:21:46.407Z]   [bt] (8) /opt/h2oai/dai/python/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(+0x8d3f) [0x1507b56d1d3f]

[hcho3]

Is it possible to share your model and script?

[sh1ng]

Found a simple way to reproduce. Take temp_.zip model from #5276 load and clone underlying booster.

>>> import xgboost
>>> new_model = xgboost.XGBModel()
>>> new_model.load_model('temp_.model')
>>> booster = new_model.get_booster().copy()

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/core.py", line 1259, in copy
    return self.__copy__()
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/core.py", line 1245, in __copy__
    return self.__deepcopy__(None)
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/core.py", line 1249, in __deepcopy__
    return Booster(model_file=self)
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/core.py", line 1175, in __init__
    _LIB.XGBoosterUnserializeFromBuffer(self.handle, ptr, length))
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/core.py", line 190, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [12:32:35] /home/sh1ng/dev/h2o4gpu/xgboost/src/objective/./regression_loss.h:89: Check failed: base_score > 0.0f && base_score < 1.0f: base_score must be in (0,1) for logistic loss, got: -0
Stack trace:
  [bt] (0) /home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x7c) [0x7f1ab89328dc]
  [bt] (1) /home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(xgboost::obj::LogisticRegression::ProbToMargin(float)+0xe7) [0x7f1ab8c1f547]
  [bt] (2) /home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(xgboost::LearnerIO::LoadModel(dmlc::Stream*)+0x1512) [0x7f1ab8a442d2]
  [bt] (3) /home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(xgboost::LearnerIO::Load(dmlc::Stream*)+0x34b) [0x7f1ab8a428bb]
  [bt] (4) /home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/lib/libxgboost.so(XGBoosterUnserializeFromBuffer+0x5e) [0x7f1ab893c2be]
  [bt] (5) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call_unix64+0x4c) [0x7f1b10891dae]
  [bt] (6) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call+0x22f) [0x7f1b1089171f]
  [bt] (7) /home/sh1ng/dev/.venv/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(_ctypes_callproc+0x2b4) [0x7f1b10aa55c4]
  [bt] (8) /home/sh1ng/dev/.venv/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(+0x11c33) [0x7f1b10aa5c33]

[sh1ng]

@trivialfis Could you have a look?

[trivialfis]

Yes. Will look into it.

[trivialfis]

Fixed, will back port to 1.1.1 . Thanks for filing an issue.