EarlyStopping.md (472B)
1 # Early Stopping 2 3 ML D3 4 5 **Definition:** Early stopping is the process of stopping a model early in training (assuming it uses GD or something akin to that) as a form of regularization. 6 7 Early stopping decreases overfitting by stopping once a certain prediction error threshold is met. This also reduces time to train. 8 9 Using sklearn, we can use partial_fit along with an epoch (pass) counter and loss calculation to determine if we are close enough to some goal to stop.