Magic number base_score=4.786924

[sh1ng]

import xgboost
import numpy as np

model = xgboost.XGBRegressor(base_score=4.786924)
X = np.random.rand(167, 20)
y = np.random.rand(167)
model.fit(X, y)
model.get_booster().save_model('model.bin')
del model

model = xgboost.XGBRegressor()
model.load_model('model.bin')

  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/sklearn.py", line 420, in load_model
    self._Booster.load_model(fname)
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/core.py", line 1534, in load_model
    self.handle, c_str(os_fspath(fname))))
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/core.py", line 189, in _check_call
    raise XGBoostError(py_str(_LIB.XGBGetLastError()))
  File "/home/sh1ng/dev/.venv/lib/python3.6/site-packages/xgboost/compat.py", line 19, in py_str
    return x.decode('utf-8')
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x99 in position 99: invalid start byte

Underlying error message that can't be decoded

b'[14:56:32] /workspace/src/common/json.cc:413: Expecting: """, got: ". ", around character: 1\n    {.\x99@\x14'

Funny part is changing base_score's value solves the issue

[trivialfis]

....... That's a very good catch !!