Traceback (most recent call last):


 "/usr/local/lib/python3.6/dist-packages/optuna/study.py", line 709, in _run_trial

result = func(trial)


 "/usr/local/lib/python3.6/dist-packages/optuna/integration/_lightgbm_tuner/optimize.py", line 304, in __call__

val_scores = self._get_cv_scores(cv_results)


 "/usr/local/lib/python3.6/dist-packages/optuna/integration/_lightgbm_tuner/optimize.py", line 294, in _get_cv_scores

val_scores = cv_results["{}-mean".format(metric)]
KeyError: 'l1-mean'

Traceback (most recent call last):

 "X:\Python27-x64\lib\site-packages\nose\case.py", line 197, in runTest
self.test(*self.arg)

 "X:\Python27-x64\lib\site-packages\matplotlib\tests\test_triangulation.py", line 405, in test_triinterpcubic_C1_continuity
check_continuity(interp, (ax, ay), values[:, 0])

 "X:\Python27-x64\lib\site-packages\matplotlib\tests\test_triangulation.py", line 366, in check_continuity
(dzx, dzy) = interpolator.gradient([loc_x], [loc_y])

 "X:\Python27-x64\lib\site-packages\matplotlib\tri\triinterpolate.py", line 435, in gradient
return_keys=('dzdx', 'dzdy'))

 "X:\Python27-x64\lib\site-packages\matplotlib\tri\triinterpolate.py", line 208, in _interpolate_multikeys
return_key, valid_tri_index, valid_x, valid_y) * scaleTypeError: NumPy boolean array indexing assignment requires a 0 or 1-dimensional input, input has 2 dimensions