So, for example, to calculate the Euclidean distance betweenĢ vectors, run: from fastdist import fastdist import numpy as np u = np. pip install fastdistįor calculating the distance between 2 vectors, fastdist uses the same function callsĪs. Use the package manager pip to install fastdist. 1.1.3: bug fix for f1_score, which resulted from v1.1.1 speed improvements.1.1.2: speed improvement and bug fix for cosine_pairwise_distance.1.1.1: large speed optimizations for confusion matrix-based metrics (see more about this in the "1.1.1 speed improvements" section), fix precision and recall scores.
1.1.0: adds implementation of several trics functions, fixes an error in the Chebyshev distance calculation and adds slight speed optimizations.Newer versions of fastdist (> 1.0.0) also add partial implementations of trics which also show significant speed improvements. Fastdist: Faster distance calculations in python using numbaįastdist is a replacement for that shows significant speed improvements by using numba and some optimization
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