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Johan Manders 2015-10-14 14:18:31 +02:00
parent 82c2ba4c44
commit 0f8f8e05b2
1 changed files with 2 additions and 2 deletions
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python-package/xgboost/training.py
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@ -41,7 +41,8 @@ def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
This dictionary stores the evaluation results of all the items in watchlist. This dictionary stores the evaluation results of all the items in watchlist.
Example: with a watchlist containing [(dtest,'eval'), (dtrain,'train')] and Example: with a watchlist containing [(dtest,'eval'), (dtrain,'train')] and
and a paramater containing ('eval_metric', 'logloss') and a paramater containing ('eval_metric', 'logloss')
Returns: {'train': {'logloss': ['0.48253', '0.35953']}, 'eval': {'logloss': ['0.480385', '0.357756']}} Returns: {'train': {'logloss': ['0.48253', '0.35953']},
'eval': {'logloss': ['0.480385', '0.357756']}}
verbose_eval : bool verbose_eval : bool
If `verbose_eval` then the evaluation metric on the validation set, if If `verbose_eval` then the evaluation metric on the validation set, if
given, is printed at each boosting stage. given, is printed at each boosting stage.
@ -320,4 +321,3 @@ def cv(params, dtrain, num_boost_round=10, nfold=3, metrics=(),
results = np.array(results) results = np.array(results)
return results return results