Metadata-Version: 2.0
Name: nipals
Version: 0.1.0
Summary: A module for calculation of PCA with the NIPALS algorithm
Home-page: https://github.com/fredrikw/python-nipals
Author: Fredrik Wallner
Author-email: fredrik@wallner.nu
License: MIT license
Description-Content-Type: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Utilities
Requires-Dist: pandas (>=0.22)
Requires-Dist: scipy (>=1.0.0)
Requires-Dist: matplotlib (>2.0.0)

========
Overview
========



A module for calculation of PCA with the NIPALS algorithm. Based on the R package
`nipals <https://cran.r-project.org/package=nipals>`_.
Tested to give same results as nipals:nipals, with some rounding errors.

Please note that the Gram-Schmidt orthogonalization has not yet been implemented.

* Free software: MIT license

Installation
============

::

    pip install nipals

Documentation
=============

https://python-nipals.readthedocs.io/

Development
===========

To run the all tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox


Changelog
=========

0.1.0 (2018-03-14)
------------------

* First release on PyPI.


