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remove a redundant sentence, and a word 'and' (#1526)

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* fix a typo

* fix a typo and some code format

* Update training.py

* delete redundant sentence
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闻波 2016-08-31 13:51:40 -05:00 committed by Tianqi Chen
parent fd7c3b3543
commit 8cdfec71b3
1 changed files with 1 additions and 3 deletions
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python-package/xgboost/training.py
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@ -38,8 +38,6 @@ def _train_internal(params, dtrain,
xgb_model = xgb_model.save_raw() xgb_model = xgb_model.save_raw()
bst = Booster(params, [dtrain] + [d[0] for d in evals], model_file=xgb_model) bst = Booster(params, [dtrain] + [d[0] for d in evals], model_file=xgb_model)
nboost = len(bst.get_dump()) nboost = len(bst.get_dump())
else:
bst = Booster(params, [dtrain] + [d[0] for d in evals])
_params = dict(params) if isinstance(params, list) else params _params = dict(params) if isinstance(params, list) else params
@ -150,7 +148,7 @@ def train(params, dtrain, num_boost_round=10, evals=(), obj=None, feval=None,
evals_result: dict evals_result: dict
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') a paramater containing ('eval_metric', 'logloss')
Returns: {'train': {'logloss': ['0.48253', '0.35953']}, Returns: {'train': {'logloss': ['0.48253', '0.35953']},
'eval': {'logloss': ['0.480385', '0.357756']}} 'eval': {'logloss': ['0.480385', '0.357756']}}
verbose_eval : bool or int verbose_eval : bool or int