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def train ( self , X _ train: np . ndarray, y _ train: np . ndarray, weights: np . ndarray ) - > np

def train(self, X_train: np.ndarray, y_train: np.ndarray, weights: np.ndarray)-> np.ndarray:
"""Train the classifier.
Use the linear regression update rule as introduced in the Lecture.
Parameters:
X_train: a number array of shape (N, D) containing training data;
N examples with D dimensions
y_train: a numpy array of shape (N,) containing training labels
"""

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