pairwisedist 1.3.1

Calculate the pairwise-distance matrix for an array of *n* samples by *p* features, sing a selection of distance metrics.

pairwisedist

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What is pairwisedist?

Calculate the pairwise-distance matrix for an array of n samples by p features, using a selection of distance metrics. Currently supports the Jackknife-correlation dissimilarity, the Son and Baek dissimilarities YS1 and YR1, the Pearson correlation dissimilarity and the Spearman correlation dissimilarity.

How do I install pairwisedist?

You can install pairwisedist via PyPI. Use the following command in the python prompt:

$ pip install pairwisedist

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History

1.3.1 (2023-01-13)

Changed

• Added support for Python 3.11.

• Updated required versions for numpy and scipy.

Fixed

• Fixed bug where setup.py would install a directory named tests into site-packages folder (thanks to Bipin Kumar)

New Contributors

• Bipin Kumar

1.3.0 (2022-12-27)

Added

• Added sharpened_cosine_distance().

Changed

• Added support for Python 3.8-3.10, and relinquished support for Python <=3.7.

• Updated versions of requirements and developer requirements.

1.2.0 (2020-06-21)

Added

• Updated API to make imports easier (for example: ‘from pairwisedist import jackknife_distance’ instead of ‘from pairwisedist.pairwisedist import jackknife_distance’).

• Added pearson_distance() and spearman_distance().

1.1.0 (2020-06-21)

Added

• Added jackknife_distance().

1.0.0 (2020-06-18)

• First release on PyPI.

Added

• Added ys1_distance() and yr1_distance().