pyproject.toml

[tool.poetry]
name = "mise.py"
version = "0.6.0"
description = "Particulate Matter forecasting"
authors = ["Jongsu Liam Kim <jongsukim8@gmail.com>"]
license = "MIT License"

[tool.poetry.dependencies]
python = ">=3.8,<3.10"
matplotlib = "^3.4.2"
pandas = "^1.3.0"
optuna = "^2.8.0"
click = "^8.0.1"
bokeh = "^2.3.3"
torch = "^1.9.0"
tqdm = "^4.61.2"
torchvision = "^0.10.0"
pytorch-lightning = "^1.3.8"
pytz = "^2021.1"
scikit-learn = "^0.24.2"
scipy = "^1.7.0"
statsmodels = "^0.12.2"
seaborn = "^0.11.1"
xgboost = "^1.4.2"
selenium = "^3.141.0"
openpyxl = "^3.0.7"
MFDFA = "^0.4"
plotly = "^5.2.1"
kaleido = "0.2.1"

[tool.poetry.dev-dependencies]
isort = "^5.9.3"
black = "^21.7b0"
flake8 = "^3.9.2"
pylint = "^2.9.6"
pytest = "^6.2.4"

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"