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DOC: added fun to API
.. 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 .. image:: https://coveralls.io/repos/github/tensorly/tensorly/badge.svg?branch=master :target: https://coveralls.io/github/tensorly/tensorly?branch=master .. image:: https://badges.gitter.im/tensorly/tensorly.svg :target: https://gitter.im/tensorly/tensorly?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge TensorLy ======== TensorLy is a fast and simple Python library for tensor learning. It builds on top of NumPy, SciPy and MXNet and allows for fast and straightforward tensor decomposition, tensor learning and tensor algebra. - **Website:** http://tensorly.github.io - **Source:** https://github.com/tensorly/tensorly - **Jupyter Notebooks:** https://github.com/JeanKossaifi/tensorly-notebooks How to install -------------- Easy option: install with pip ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Simply run:: pip install -U tensorly NOTE: TensorLy is developed/tested only for Python 3 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