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@ -580,10 +580,10 @@ class Auc(MetricBase):
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self.tn_list = np.zeros((num_thresholds, ))
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self.fp_list = np.zeros((num_thresholds, ))
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def update(self, preds, labels):
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def update(self, predictions, labels):
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if not _is_numpy_(labels):
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raise ValueError("The 'labels' must be a numpy ndarray.")
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if not _is_numpy_(preds):
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if not _is_numpy_(predictions):
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raise ValueError("The 'predictions' must be a numpy ndarray.")
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kepsilon = 1e-7 # to account for floating point imprecisions
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