Calculates the Jensen-Shannon (JS) divergence between two probability distributions. JS divergence is symmetric, bounded (0 to 1), and based on the KL divergence. It’s particularly useful when you need a symmetric distance measure between distributions and is more numerically stable than KL divergence.
Use Cases:
Formula: JS(P||Q) = 0.5 * D_KL(P||M) + 0.5 * D_KL(Q||M), where M = 0.5(P+Q)
Credits: 5 credits per request (Pro Tier)
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