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Project description

pairwisedist

Useful links: Documentation | Source code | Bug reports | pipimage | travisci | downloads


What is pairwisedist?

Calculate the pairwise-distance matrix for an array of n samples by p features. 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

History

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().

Project details


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pairwisedist-1.3.0-py2.py3-none-any.whl (14.8 kB view hashes)

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