Distances

Implements over 30 distances, from common metrics like Euclidean and Cosine to specialized divergences like Kullback-Leibler, covering a wide range of statistical and ML needs.

Provides colwise and pairwise functions that use BLAS and specialized algorithms, with benchmarks showing up to 90x speedups for metrics like CorrDist compared to naive loops.

Organizes distances into PreMetric, SemiMetric, and Metric types, enabling optimizations such as symmetry exploitation in pairwise computations for efficiency.

Offers colwise! and pairwise! functions for pre-allocated result storage, reducing memory allocations in performance-sensitive applications.

Includes weighted versions for key metrics like Euclidean and Minkowski, allowing for customized distance measures in applications like weighted clustering.