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Suppress more evaluation verbose during training

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terrytangyuan 2015-10-31 13:05:52 -04:00
parent 15a0d27eed
commit 610b70b79e
1 changed files with 2 additions and 1 deletions
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python-package/xgboost/training.py
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@ -98,7 +98,8 @@ def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
if len(evals) < 1:
raise ValueError('For early stopping you need at least one set in evals.')
sys.stderr.write("Will train until {} error hasn't decreased in {} rounds.\n".format(\
if verbose_eval:
sys.stderr.write("Will train until {} error hasn't decreased in {} rounds.\n".format(\
evals[-1][1], early_stopping_rounds))
# is params a list of tuples? are we using multiple eval metrics?