lr2.py

# Real Parameters
gradient = 0.5
w0 = 1

# Data synthesis
X_train = 2 * np.random.random_sample((20, 1))
y_train = gradient * X_train + w0 + 0.1 * np.random.random_sample((20, 1))

# Plot
plt.scatter(X_train, y_train);