import numpy as np
from sklearn.linear_model import SGDClassifier
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import make_pipeline

# Always scale features for SGD
X = np.array([[-1, -1], [-2, -1], [1, 1], [2, 1]])
y = np.array([1, 1, 2, 2])

clf = make_pipeline(StandardScaler(), 
                   SGDClassifier(max_iter=1000, tol=1e-3))
clf.fit(X, y)

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