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[docs] updated docs for min_delta parameter in early stopping callback (#9513)

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Burhanuddin Rangwala 2021-09-14 21:45:57 +05:30 committed by GitHub
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pytorch_lightning/callbacks/early_stopping.py
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@ -39,7 +39,7 @@ class EarlyStopping(Callback):
Args:
monitor: quantity to be monitored.
min_delta: minimum change in the monitored quantity to qualify as an improvement, i.e. an absolute
change of less than `min_delta`, will count as no improvement.
change of less than or equal to `min_delta`, will count as no improvement.
patience: number of checks with no improvement
after which training will be stopped. Under the default configuration, one check happens after
every training epoch. However, the frequency of validation can be modified by setting various parameters on