settings.ini

[DEFAULT]
lib_name = tsai
user = timeseriesAI
branch = master
version = 0.2.15
description = Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch
keywords = fastai time-series time-series-classification time-series-regression deep-learning Pytorch
author = Ignacio Oguiza
author_email = oguiza@gmail.com
license = apache2
copyright = Ignacio Oguiza
status = 3
min_python = 3.6
audience = Developers
language = English
requirements = fastai>=2.1.10 scikit-learn>=0.24.0 sktime>=0.5.0 statsmodels>=0.12.1 pyunpack>=0.2.2 psutil>=5.8.0 PyWavelets>=1.1.1 numba>=0.52.0 pyts>=0.11.0 imbalanced-learn>=0.7.0 tsfresh>=0.17.0 seaborn>=0.11.1
pip_requirements = torch>=1.7.0
conda_requirements = pytorch>=1.7.0
nbs_path = nbs
doc_path = docs
git_url = https://github.com/timeseriesAI/tsai/tree/master/
lib_path = tsai
title = tsai
custom_sidebar = True
doc_host = https://timeseriesAI.github.io
doc_baseurl = /tsai/
host = github