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Implementation of Jensen-Shannon-Divergence based on https://github.com/scipy/scipy/issues/8244
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| import numpy as np | |
| from scipy.stats import entropy | |
| def js(p, q): | |
| p = np.asarray(p) | |
| q = np.asarray(q) | |
| # normalize | |
| p /= p.sum() | |
| q /= q.sum() | |
| m = (p + q) / 2 | |
| return (entropy(p, m) + entropy(q, m)) / 2 |
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