Performance and scikit-learn (2/4)
Read OriginalThis technical article examines the performance limitations of the exact k-nearest neighbors (k-NN) search in scikit-learn. It details how the current implementation's high-level parallelization with joblib leads to inefficient CPU cache usage and poor hardware scalability. The post promises a follow-up discussing the design of a new, more scalable implementation to address these issues.
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