Skip to main content

A Python interface for predictive state estimation from spatio-temporal data

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<www.r-project.org>`_:
- `LICORS<cran.r-project.org/web/packages/LICORS>`_
- `LSC<cran.r-project.org/web/packages/LSC>`_

Support and Documentation
-------------------------

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

License
-------

``pylicors`` is offered under the `GPL3 license
<http://opensource.org/licenses/gpl-3.0.html>`_.

Authors
-------

``pylicors`` is developed and maintained by `Georg M. Goerg
<http://www.stat.cmu.edu/~gmg>`_.

Credits
-------

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

.. _numpy: numpy.scipy.org/
.. _pyopencv: http://code.google.com/p/pyopencv/
.. _`OpenCV`: http://opencv.willowgarage.com/wiki/

Project details


Download files

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

Source Distribution

pyLICORS-0.0.1dev.tar.gz (792.6 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page