[DEFAULT]
host = github
lib_name = neuralforecast
user = Nixtla
description = Time series forecasting suite using deep learning models
keywords = time-series forecasting deep-learning 
author = Nixtla
author_email = business@nixtla.io
copyright = Nixtla Inc.
branch = main
version = 1.7.1
min_python = 3.8
audience = Developers
language = English
custom_sidebar = True
license = apache2
status = 2
requirements = coreforecast>=0.0.6 fsspec numpy>=1.21.6 pandas>=1.3.5 torch>=2.0.0 pytorch-lightning>=2.0.0 ray[tune]>=2.2.0 optuna utilsforecast>=0.0.25
spark_requirements = fugue pyspark>=3.5
aws_requirements = fsspec[s3]
dev_requirements = black gitpython hyperopt matplotlib mypy nbdev polars pre-commit pyarrow ruff s3fs transformers
nbs_path = nbs
doc_path = _docs
recursive = True
doc_host =  https://%(user)s.github.io
doc_baseurl = /neuralforecast/
git_url = https://github.com/%(user)s/neuralforecast/
lib_path = %(lib_name)s
title = %(lib_name)s
black_formatting = True
jupyter_hooks = True
clean_ids = True
tst_flags = polars