settings.ini

[DEFAULT]
host = github
lib_name = tsai
repo = tsai
user = timeseriesAI
branch = main
version = 0.3.10
description = Practical Deep Learning for Time Series / Sequential Data library based on fastai & Pytorch
keywords = fastai time-series time-series-classification time-series-regression deep-learning Pytorch
author = Ignacio Oguiza and contributors
author_email = oguiza@timeseriesAI.co
copyright = Ignacio Oguiza
license = apache2
status = 4
min_python = 3.8
audience = Developers
language = English
requirements = fastai>=2.7.14 pyts>=0.12.0 imbalanced-learn>=0.11.0 psutil>=5.4.8 scikit-learn>=1.2
pip_requirements = torch>=1.10,<2.3
conda_user = timeseriesAI
conda_requirements = pytorch>=1.10,<2.3
extra_requirements = sktime>=0.10.1 tsfresh>=0.18.0 PyWavelets>=1.1.1 nbformat>=5.1.3
dev_requirements = nbdev>2 ipykernel>6
console_scripts = nb2py=tsai.export:nb2py
nbs_path = nbs
doc_path = _docs
doc_host = https://timeseriesAI.github.io/tsai
doc_baseurl = /
git_url = https://github.com/timeseriesAI/tsai/
lib_path = tsai
title = tsai
tst_flags = local slow extras onnx
custom_sidebar = True
recursive = True
clean_ids = True
black_formatting = False
readme_nb = index.ipynb
allowed_metadata_keys = 
allowed_cell_metadata_keys = 
jupyter_hooks = True
clear_all = False
put_version_in_init = True