pairwisedist

No project description provided

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

Calculate the pairwise-distance matrix for an array of n samples by p features. Currently supports the Son and Baek dissimilarities YS1 and YR1.

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

$ pip install pairwisedist

1.0.0 (2020-06-18)

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

1.3.1

Jan 13, 2023

1.3.0

Dec 27, 2022

1.2.0

Jul 7, 2020

1.1.0

Jun 21, 2020

This version

1.0.0

Jun 18, 2020

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Jun 18, 2020 Source

Uploaded Jun 18, 2020 Python 2 Python 3

Hashes for pairwisedist-1.0.0.tar.gz
Algorithm	Hash digest
SHA256	`0cbee3bd2460715eb6594c240c709c5839cf8193146575481e1b3d5e206fc9ad`
MD5	`055cd45ffc0e059550e5710909060a86`
BLAKE2b-256	`76021a85d53212bcd3685fe5bf20cfcc0dc35efcb71bfa554b19f43e9258d1a6`

Hashes for pairwisedist-1.0.0-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`6652dba06b15d188e38fd63870ca020554a1f4591d4a398719f08f3ee1eccc69`
MD5	`64efb3423f86e77b97f14bf3cf102fa4`
BLAKE2b-256	`23ef26d7ead97914956cf2c82e9a4af8f927c03e29d1db34649ea4f254ef166e`