bytecover/models/early_stopper.py

import numpy as np


class EarlyStopper:
    def __init__(self, patience: int = 1, min_delta: int = 0):
        self.patience = patience
        self.min_delta = min_delta
        self.counter = 0
        self.min_validation_loss = np.inf

    def __call__(self, validation_loss) -> bool:
        if validation_loss < self.min_validation_loss:
            self.min_validation_loss = validation_loss
            self.counter = 0
        elif validation_loss >= (self.min_validation_loss + self.min_delta):
            self.counter += 1
            if self.counter >= self.patience:
                return True
        return False