settings.ini

[DEFAULT]
host = github
lib_name = hierarchicalforecast
user = Nixtla
description = Hierarchical Methods Time series forecasting
keywords = time-series forecasting datasets hierarchical
author = Nixtla
author_email = business@nixtla.io
copyright = Nixtla Inc.
branch = main
version = 1.0.1
min_python = 3.9
audience = Developers
language = English
custom_sidebar = True
license = apache2
status = 2
requirements = numpy, numba, pandas, scikit-learn>=1.2, quadprog, matplotlib, narwhals>=1.13.5, intel-cmplr-lib-rt ; platform_system!="Darwin" and platform_machine=="x86_64"
dev_requirements = datasetsforecast nbdev statsforecast>=1.0.0 requests scipy pre-commit ruff black pytest pytest-benchmark
polars_requirements = polars[numpy]
nbs_path = nbs
doc_path = _docs
recursive = True
doc_host =  https://%(user)s.github.io
doc_baseurl = /%(lib_name)s/
git_url = https://github.com/%(user)s/hierarchicalforecast/
lib_path = %(lib_name)s
title = %(lib_name)s
black_formatting = True
jupyter_hooks = True
clean_ids = True
readme_nb = index.ipynb