Algorithm · Datadog · Medium
Problem: Implement Binary Focal Loss You are given a set of n binary classification samples. Each sample has a true label y_i that is either 0 or 1, and a predicted probability p_i for the positive class. Your task is to compute the Binary Focal Loss. For every sample, define two intermediate values based on the true label: When y_i = 1: p_t = p_i and alpha_t = alpha. When y_i = 0: p_t = 1 - p_i and alpha_t = 1 - alpha. The loss contributed by a single sample is calculated…
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