Metadata-Version: 2.1
Name: PyDistances
Version: 0.0.24
Summary: 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.
Home-page: https://github.com/FabioScielzoOrtiz/Distances_Package
Author: Fabio Scielzo Ortiz
Author-email: fabioscielzo98@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy

# PyDistances

`PyDistances` is a `Python` package for computing classic statistical distances as well as the new proposals suitable for mixed multivariate data, even with outliers.

The theoretical aspects regarding the package and specially the new proposed distances can be found in the following Master’s Thesis, written by Fabio Scielzo Ortiz: [TO DO]

