Utilities for pre-/postprocessing and visualization developed and/or commonly used by the tvlearn
community.
We recommend Anaconda to manage the installation. To create a new environment that bundles all packages required, run:
$ conda create -n tvutil pip
To install the packages required, run
$ pip install -r requirements.txt
Finally, to install tvutil
run:
$ python setup.py install
Remark
- If you are not planning to contribute and only want to use the implementations provided in this repo, you could comment out the packages
black
,pylama
,mypy
,pytest
in theenvironment.txt
file. - Parts of the implementation do not require a PyTorch installation, i.e. you may optionally also comment
torch
out inenvironment.txt
.