================
pairwisedist
================
**Useful links:** `Documentation <https://guyteichman.github.io/pairwisedist>`_ |
`Source code <https://github.com/GuyTeichman/pairwisedist>`_ |
`Bug reports <https://github.com/GuyTeichman/pairwisedist/issues>`_ | |pipimage| | |travisci| | |downloads|
------
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 <https://doi.org/10.1101%2Fgr.9.11.1106>`_, the `Son and Baek dissimilarities <https://doi.org/10.1016/j.patrec.2007.09.015>`_ *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:
.. code-block:: console
$ pip install pairwisedist
----
.. |pipimage| image:: https://img.shields.io/pypi/v/pairwisedist.svg
:target: https://pypi.python.org/pypi/pairwisedist
.. |downloads| image:: https://pepy.tech/badge/pairwisedist
:target: https://pepy.tech/project/pairwisedist
.. |travisci| image:: https://travis-ci.org/GuyTeichman/pairwisedist.svg?branch=master
:target: https://travis-ci.org/GuyTeichman/pairwisedist
=======
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 <https://github.com/kbipinkumar>`_)
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().
Raw data
{
"_id": null,
"home_page": "https://github.com/GuyTeichman/pairwisedist",
"name": "pairwisedist",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "distance,pairwise distance,YS1,YR1,pairwise-distance matrix,Son and Baek dissimilarities,Son and Baek",
"author": "Guy Teichman",
"author_email": "guyteichman@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/e7/a9/0cf5761774f7fb11a8c86a900206d2398bb45402e20d6240023f85e51ceb/pairwisedist-1.3.1.tar.gz",
"platform": null,
"description": "================\npairwisedist\n================\n\n**Useful links:** `Documentation <https://guyteichman.github.io/pairwisedist>`_ |\n`Source code <https://github.com/GuyTeichman/pairwisedist>`_ |\n`Bug reports <https://github.com/GuyTeichman/pairwisedist/issues>`_ | |pipimage| | |travisci| | |downloads|\n\n------\n\nWhat is *pairwisedist*?\n-------------------------\n\nCalculate 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 <https://doi.org/10.1101%2Fgr.9.11.1106>`_, the `Son and Baek dissimilarities <https://doi.org/10.1016/j.patrec.2007.09.015>`_ *YS1* and *YR1*, the Pearson correlation dissimilarity and the Spearman correlation dissimilarity.\n\n\nHow do I install *pairwisedist*?\n---------------------------------\nYou can install *pairwisedist* via PyPI.\nUse the following command in the python prompt:\n\n.. code-block:: console\n\n $ pip install pairwisedist\n\n----\n\n\n.. |pipimage| image:: https://img.shields.io/pypi/v/pairwisedist.svg\n :target: https://pypi.python.org/pypi/pairwisedist\n.. |downloads| image:: https://pepy.tech/badge/pairwisedist\n :target: https://pepy.tech/project/pairwisedist\n.. |travisci| image:: https://travis-ci.org/GuyTeichman/pairwisedist.svg?branch=master\n :target: https://travis-ci.org/GuyTeichman/pairwisedist\n\n\n\n=======\nHistory\n=======\n\n1.3.1 (2023-01-13)\n------------------\n\nChanged\n********\n* Added support for Python 3.11.\n* Updated required versions for numpy and scipy.\n\nFixed\n******\n* Fixed bug where setup.py would install a directory named tests into site-packages folder (thanks to `Bipin Kumar <https://github.com/kbipinkumar>`_)\n\nNew Contributors\n*****************\n* `Bipin Kumar`_\n\n1.3.0 (2022-12-27)\n------------------\n\nAdded\n******\n* Added sharpened_cosine_distance().\n\nChanged\n********\n* Added support for Python 3.8-3.10, and relinquished support for Python <=3.7.\n* Updated versions of requirements and developer requirements.\n\n1.2.0 (2020-06-21)\n------------------\n\nAdded\n******\n* Updated API to make imports easier (for example: 'from pairwisedist import jackknife_distance' instead of 'from pairwisedist.pairwisedist import jackknife_distance').\n* Added pearson_distance() and spearman_distance().\n\n1.1.0 (2020-06-21)\n------------------\n\nAdded\n******\n* Added jackknife_distance().\n\n\n1.0.0 (2020-06-18)\n------------------\n\n* First release on PyPI.\n\nAdded\n******\n* Added ys1_distance() and yr1_distance().\n",
"bugtrack_url": null,
"license": "License :: OSI Approved :: Apache Software License",
"summary": "Calculate the pairwise-distance matrix for an array of *n* samples by *p* features, sing a selection of distance metrics.",
"version": "1.3.1",
"split_keywords": [
"distance",
"pairwise distance",
"ys1",
"yr1",
"pairwise-distance matrix",
"son and baek dissimilarities",
"son and baek"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "5935d57d09c614927bf2cd04e2ce1e363f8526087c1e775f70efb197f65992d7",
"md5": "ee2a60b05e81f3233f3a817de30bd359",
"sha256": "7ad574871e7f60cba1bd0e161a20467bf2c5d17e4dffc4ecd52fb5380bc736c3"
},
"downloads": -1,
"filename": "pairwisedist-1.3.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "ee2a60b05e81f3233f3a817de30bd359",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 15027,
"upload_time": "2023-01-13T17:52:07",
"upload_time_iso_8601": "2023-01-13T17:52:07.256797Z",
"url": "https://files.pythonhosted.org/packages/59/35/d57d09c614927bf2cd04e2ce1e363f8526087c1e775f70efb197f65992d7/pairwisedist-1.3.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e7a90cf5761774f7fb11a8c86a900206d2398bb45402e20d6240023f85e51ceb",
"md5": "7fb70febbac6a6b35584ab4c30e41f39",
"sha256": "e90844311707430bcc37b3d441c8e9205fef9106e6908b05b0a1c7c17cf58742"
},
"downloads": -1,
"filename": "pairwisedist-1.3.1.tar.gz",
"has_sig": false,
"md5_digest": "7fb70febbac6a6b35584ab4c30e41f39",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 20925,
"upload_time": "2023-01-13T17:52:09",
"upload_time_iso_8601": "2023-01-13T17:52:09.697694Z",
"url": "https://files.pythonhosted.org/packages/e7/a9/0cf5761774f7fb11a8c86a900206d2398bb45402e20d6240023f85e51ceb/pairwisedist-1.3.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-13 17:52:09",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "GuyTeichman",
"github_project": "pairwisedist",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"requirements": [],
"lcname": "pairwisedist"
}
JSON
