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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]
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