distance-metrics

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Fréchet Inception Distance (FID) is a metric that quantifies the quality and diversity of images generated by GANs by comparing feature representations.

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Hellinger Distance is a statistical measure that quantifies the similarity between two probability distributions, useful in data analysis and machine learning applications.

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Covers how to choose the similarity measure when item embeddings are available

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The advantages and pitfalls of common distance measures