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Project Description
pyLICORS: readme
``pylicors`` is a Python module for predictive state estimation from
continuous valued spatio-temporal data.

.. warning::
This package is in a **Planning status**. That means it has only very limited
functionality, and function names, arguments, output, etc. **WILL** change in
the future. Do not use this yet for any more involved analysis or automated
analysis of any kind. The code you write now **will break** with the next releases.

``pylicors`` has two *cousins* in `R<>`_:
- `LICORS< web="" packages="" licors="">`_
- `LSC< web="" packages="" lsc="">`_

Support and Documentation

See `pylicors website <http:"" pypi="" pylicors="">`_
on `PyPI <http:"" pypi=""/>`_ to view
documentation, report bugs, and obtain support.


``pylicors`` is offered under the `GPL3 license
<http:"" licenses="" gpl-3.0.html="">`_.


``pylicors`` is developed and maintained by `Georg M. Goerg
<http:"" ~gmg="">`_.


- `numpy`_
- `pyopencv`_
- `OpenCV`_

.. _numpy:
.. _pyopencv:
.. _`OpenCV`:
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyLICORS-0.0.1dev.tar.gz (792.6 kB) Copy SHA256 Checksum SHA256 Source Dec 5, 2012

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