The goal is to provide an easily-runnable micro-benchmark that shows the massive speed-ups you can obtain by moving from naïve Python code to vectorised or native alternatives.
A Python project demonstrating various similarity and distance measures including Euclidean, Manhattan, Minkowski, and binary dissimilarity. Includes both manual implementations and usage of scipy for ...
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