No project description provided
Project description
pairwisedist
Useful links: Documentation |
Source code |
Bug reports | 
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 pairwisedistHistory
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().
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pairwisedist-1.2.0-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bb3db50b53776a148e592f80cc596ae013a574fb7b2fb24b09849c19d185351f |
|
| MD5 | 0df2071b22ca4ca8a0300c83f7212b8a |
|
| BLAKE2b-256 | ad62bc53b1947bec3f2b32ca8e2881a061f3d7f5f6fb48264245e69ff94c289e |
