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Tensor learning in Python.

Project Description

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.

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
Release History

Release History

This version
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0.1.6

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0.1.5

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0.1.4

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0.1.3

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0.1.2

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
tensorly-0.1.6-py3-none-any.whl (49.8 kB) Copy SHA256 Checksum SHA256 py3 Wheel Aug 22, 2017
tensorly-0.1.6.tar.gz (30.0 kB) Copy SHA256 Checksum SHA256 Source Aug 22, 2017

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