.. module:: cupyx.scipy.spatial.distance Distance computations (:mod:`cupyx.scipy.spatial.distance`) =========================================================== .. note:: The ``distance`` module uses ``pylibraft`` as a backend. You need to install `pylibraft package ` from ``rapidsai`` Conda channel to use features listed on this page. .. note:: Currently, the ``distance`` module is not supported on AMD ROCm platforms. .. Hint:: `SciPy API Reference: Spatial distance routines (scipy.spatial.distance) `_ Distance matrix computations ---------------------------- Distance matrix computation from a collection of raw observation vectors stored in a rectangular array. .. autosummary:: :toctree: generated/ pdist cdist distance_matrix Distance functions ------------------ Distance functions between two numeric vectors `u` and `v`. Computing distances over a large collection of vectors is inefficient for these functions. Use `cdist` for this purpose. .. autosummary:: :toctree: generated/ minkowski canberra chebyshev cityblock correlation cosine hamming euclidean jensenshannon russellrao sqeuclidean hellinger kl_divergence