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DOC: Point to parameter.md for eval_metric

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Skipper Seabold 2015-05-20 14:39:48 -05:00
parent 46e9520a28
commit 113285e1dc
1 changed files with 2 additions and 2 deletions
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wrapper/xgboost.py
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@ -1108,7 +1108,7 @@ class XGBModel(XGBModelBase):
A list of (X, y) tuple pairs to use as a validation set for A list of (X, y) tuple pairs to use as a validation set for
early-stopping early-stopping
eval_metric : str, optional eval_metric : str, optional
Built-in evaluation metric to use. Built-in evaluation metric to use. See doc/parameter.md.
early_stopping_rounds : int early_stopping_rounds : int
Activates early stopping. Validation error needs to decrease at Activates early stopping. Validation error needs to decrease at
least every <early_stopping_rounds> round(s) to continue training. least every <early_stopping_rounds> round(s) to continue training.
@ -1197,7 +1197,7 @@ class XGBClassifier(XGBModel, XGBClassifierBase):
A list of (X, y) pairs to use as a validation set for A list of (X, y) pairs to use as a validation set for
early-stopping early-stopping
eval_metric : str eval_metric : str
Built-in evaluation metric to use. Built-in evaluation metric to use. See doc/parameter.md.
early_stopping_rounds : int, optional early_stopping_rounds : int, optional
Activates early stopping. Validation error needs to decrease at Activates early stopping. Validation error needs to decrease at
least every <early_stopping_rounds> round(s) to continue training. least every <early_stopping_rounds> round(s) to continue training.