DOC: Point to parameter.md for eval_metric
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@ -1108,7 +1108,7 @@ class XGBModel(XGBModelBase):
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A list of (X, y) tuple pairs to use as a validation set for
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early-stopping
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eval_metric : str, optional
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Built-in evaluation metric to use.
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Built-in evaluation metric to use. See doc/parameter.md.
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early_stopping_rounds : int
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Activates early stopping. Validation error needs to decrease at
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least every <early_stopping_rounds> round(s) to continue training.
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@ -1197,7 +1197,7 @@ class XGBClassifier(XGBModel, XGBClassifierBase):
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A list of (X, y) pairs to use as a validation set for
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early-stopping
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eval_metric : str
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Built-in evaluation metric to use.
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Built-in evaluation metric to use. See doc/parameter.md.
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early_stopping_rounds : int, optional
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Activates early stopping. Validation error needs to decrease at
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least every <early_stopping_rounds> round(s) to continue training.
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