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Updated a typo in comments.

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Batuhan Berk Başoğlu 2025-09-18 21:13:14 -04:00
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mini-batch-sgd-logistic-regression-wdbc.py
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@ -7,7 +7,6 @@ class LogisticRegression:
Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number, Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number,
tolerance and verbose. It also initializes the weight, loss, x, y, mean and std. tolerance and verbose. It also initializes the weight, loss, x, y, mean and std.
''' '''
def __init__(self, learning_rate: float, n_iter: int, batch_size: int, tolerance: float, verbose: bool) -> None: def __init__(self, learning_rate: float, n_iter: int, batch_size: int, tolerance: float, verbose: bool) -> None:
self.lr = learning_rate self.lr = learning_rate
self.n_iter = n_iter self.n_iter = n_iter