# hottbox **Repository Path**: mirrors_lepy/hottbox ## Basic Information - **Project Name**: hottbox - **Description**: HOTTBOX: Higher Order Tensors ToolBOX. - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-25 - **Last Updated**: 2025-07-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README HOTTBOX: Higher Order Tensors ToolBOX ===================================== |Travis|_ |Appveyor|_ |Coveralls|_ |PyPi|_ .. |Travis| image:: https://img.shields.io/travis/hottbox/hottbox/master.svg?label=TravisCI .. _Travis: https://travis-ci.org/hottbox/hottbox/ .. |Appveyor| image:: https://ci.appveyor.com/api/projects/status/2ct6ku31v351s3d3/branch/master?svg=true .. _Appveyor: https://ci.appveyor.com/project/IlyaKisil/hottbox-6jq6a .. |Coveralls| image:: https://img.shields.io/coveralls/github/hottbox/hottbox/master.svg .. _Coveralls: https://coveralls.io/github/hottbox/hottbox .. |PyPi| image:: https://badge.fury.io/py/hottbox.svg .. _PyPi: https://badge.fury.io/py/hottbox Welcome to the toolbox for tensor decompositions, statistical analysis, visualisation, feature extraction, regression and non-linear classification of multi-dimensional data. Installing HOTTBOX ------------------ There are two options available: 1. Install ``hottbox`` as it is from `pypi.org `_ by executing: :: $ pip install hottbox 2. 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. Running tests ------------- ``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 pytest pytest-cov To run test, simply execute inside the main directory: :: $ pytest -v --cov hottbox HOTTBOX tutorials ----------------- Please check out `our repository `_ with tutorials on ``hottbox`` api and theoretical background on multi-linear algebra and tensor decompositions. Development ----------- We welcome new contributors of all experience levels. Detailed guidelines can be found on `our web site `_.