This is a package for computing distances among observations of statistical variables, such as: Euclidean, Minkowski, Canberra, Pearson, Mahalanobis, Robust Mahalanobis, Gower, Generalized Gower and Related Metric Scaling (RelMS). A total of 41 statistical distances can be computed.
Project description
PyDistances: A Statistical Distances Python Package
This is a package for computing distances among observations of statistical variables, such as: Euclidean, Minkowski, Canberra, Pearson, Mahalanobis, Robust Mahalanobis, Gower, Generalized Gower and Related Metric Scaling (RelMS). A total of 41 statistical distances can be computed.
pip install PyDistances
import PyDistances
from PyDistances import Euclidean_Dist, Euclidean_Dist_Matrix, Minkowski_Dist, Minkowski_Dist_Matrix, Canberra_Dist, Canberra_Dist_Matrix, Pearson_Dist, Pearson_Dist_Matrix, Mahalanobis_Dist, Mahalanobis_Dist_Matrix, a_b_c_d_Matrix, Sokal_Similarity, Sokal_Dist, Sokal_Dist_Matrix, Jaccard_Similarity, Jaccard_Dist, Jaccard_Dist_Matrix, alpha, Matching_Similarity, Matching_Dist, Matching_Dist_Matrix, Gower_Similarity_Matrix, Gower_Dist_Matrix, Robust_Mahalanobis_Dist, Robust_Mahalanobis_Dist_Matrix, GeneralizedGowerDistance
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
pip install PyDistances
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