Hottbox
HOTTBOX: Higher Order Tensors ToolBOX.
Install / Use
/learn @hottbox/HottboxREADME
HOTTBOX: Higher Order Tensors ToolBOX
|Travis|_ |Appveyor|_ |Coveralls|_ |PyPi|_ |Binder|_
.. |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/sh2rk41gpn26h7a7/branch/master?svg=true .. _Appveyor: https://ci.appveyor.com/project/IlyaKisil/hottbox-6jq6a
.. |Coveralls| image:: https://coveralls.io/repos/github/hottbox/hottbox/badge.svg?branch=master .. _Coveralls: https://coveralls.io/github/hottbox/hottbox?branch=master
.. |PyPi| image:: https://badge.fury.io/py/hottbox.svg .. _PyPi: https://badge.fury.io/py/hottbox
.. |Binder| image:: https://mybinder.org/badge.svg .. _Binder: https://mybinder.org/v2/gh/hottbox/hottbox-tutorials/master?urlpath=lab/
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 <https://mybinder.org/v2/gh/hottbox/hottbox-tutorials/master?urlpath=lab/>_ without installation.
.. contents:: Table of Contents :local: :depth: 1
Installing HOTTBOX
There are two options available:
-
Install
hottboxas it is frompypi.org <https://pypi.org/project/hottbox/>_ by executing:.. code-block:: bash
# Create virtual environment based on python 3.7 pipenv --python 3.7 # Install hottbox from pypi pipenv install hottbox -
Alternatively, you can clone the source code which you can find on our
GitHub repository <https://github.com/hottbox/hottbox>_ and installhottboxin editable mode:.. code-block:: bash
# Clone source code and cd into it git clone https://github.com/hottbox/hottbox.git cd hottbox # Create virtual environment based on python 3.7 pipenv --python 3.7 # Install hottbox from source pipenv 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 <https://github.com/hottbox/hottbox/tree/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 inCHANGELOG <https://github.com/hottbox/hottbox/blob/develop/CHANGELOG.md>_ file.**NOTE:** To manage working environment, we use `pipenv <https://pipenv.kennethreitz.org/en/latest/>`_. This tools is thought of as a successor of ``pip`` and essentially uses ``pip`` and ``virtualenv`` under the hood. If you haven't made a switch yet (or don't want to) then: * Instead of ``pipenv install`` simply use ``pip install`` * Instead of ``pipenv run ...`` make sure that you are in correct virtual environment
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:
.. code-block:: bash
pipenv install -e '[.tests]'
To run tests, simply execute inside the main directory:
.. code-block:: bash
# Runs pytest within a virtual environment
pipenv run pytest -v --cov hottbox
HOTTBOX tutorials
Please check out our repository <https://github.com/hottbox/hottbox-tutorials>_ 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 <https://hottbox.github.io/stable/development_guide/index.html>_.
Related Skills
node-connect
343.3kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
92.1kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
343.3kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
343.3kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
