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Example of pairwise processing with "smart broadcasting"
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| import numpy as np | |
| def exponential_kernel(x1, x2): | |
| # Broadcasting tricks to get every pairwise distance. | |
| return np.exp(-((x1[np.newaxis, :, :] - x2[:, np.newaxis, :]) ** 2).sum(2)).T | |
| a = np.random.randn(100, 5) | |
| print(exponential_kernel(a, a).shape) |
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