Higher Order Tensors ToolBOX
Welcome to the toolbox for tensor decompositions, statistical analysis, visualisation, feature extraction, regression and non-linear classification of multi-dimensional data. Not sure you need this toolbox? Give it a try on mybinder.org without installation.
There are two options available:
Install hottbox as it is from pypi.org by executing:
$ pip install hottbox
Alternatively, you can clone the source code which you can find on our GitHub repository and install hottbox in editable mode:
$ git clone https://github.com/hottbox/hottbox.git $ cd hottbox $ pip install -e .
This will allow you to modify the source code in the way it will suit your needs. Additionally, you will be on top of the latest changes and will be able to start using new stable features which are located on develop branch until the official release. The list of provisional changes for the next release (and the CI status) can be also be found on develop branch in CHANGELOG file.
hottbox is under active development, therefore, if you have chosen the second installation option, it is advisable to run tests in order to make sure that your current version of hottbox is stable. First, you will need to install pytest and pytest-cov packages:
$ pip install -e '[.tests]'
To run tests, simply execute inside the main directory:
$ pytest -v --cov hottbox
Please check out our repository with tutorials on hottbox api and theoretical background on multi-linear algebra and tensor decompositions.
We welcome new contributors of all experience levels. Detailed guidelines can be found on our web site.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash||File type||Python version||Upload date|
|hottbox-0.3.1-py3-none-any.whl (109.1 kB) View hashes||Wheel||py3|
|hottbox-0.3.1.tar.gz (85.4 kB) View hashes||Source||None|