from sklearn.linear_model import SGDClassifier
import numpy as np

# Initialize classifier
clf = SGDClassifier(loss='log_loss', random_state=42)

# Process data in chunks
classes = np.array([0, 1])  # Must specify all possible classes upfront
for chunk_X, chunk_y in data_chunks:
    clf.partial_fit(chunk_X, chunk_y, classes=classes)

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