https://github.com/tensorly/tensorly
Revision c53b8a619956697bfcf07576328bf2d745338c9d authored by Jean KOSSAIFI on 30 October 2016, 17:56 UTC, committed by Jean KOSSAIFI on 30 October 2016, 17:56 UTC
1 parent 3438c5a
Raw File
Tip revision: c53b8a619956697bfcf07576328bf2d745338c9d authored by Jean KOSSAIFI on 30 October 2016, 17:56 UTC
Updated README and setup.py, removed setup.cfg.
Tip revision: c53b8a6
README.rst
.. image:: https://badge.fury.io/py/tensorly.svg
    :target: https://badge.fury.io/py/tensorly

.. image:: https://travis-ci.org/tensorly/tensorly.svg?branch=master
    :target: https://travis-ci.org/tensorly/tensorly

TensorLy
========

TensorLy is a fast and simple Python library for tensor learning. It builds on top of NumPy and SciPy and and allows for fast and straightforward tensor decomposition, tensor learning and tensor algebra.

- **Website:** http://tensorly.github.io
- **Source:**  https://github.com/tensorly/tensorly


How to install
--------------
 
Easy option: install with pip
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Simply run::

   pip install -U tensorly

That's it!

Alternatively, you can pip install from the git repository::

   pip install git+https://github.com/tensorly/tensorly

Development: install from git
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The library is still very new and under heavy developement. To install the last version:

Clone the repository and cd there::

   git clone https://github.com/tensorly/tensorly
   cd tensorly

Then install the package (here in editable mode with `-e` or equivalently `--editable`)::

   pip install -e .

Running the tests
~~~~~~~~~~~~~~~~~

Testing and documentation are an essential part of this package and all functions come with uni-tests and documentation.

You can run all the tests using the `nose` package::

   nosetests -v tensorly

back to top