pyproject.toml

[tool.poetry]
name = "class-wise-and-reduced-calibration-methods"
version = "0.1.0"
description = "This repository contains the experiment for the \"class-wise and reduced calibration methods\" paper submitted to ICMLA 2022"
authors = ["appliedAI GmbH"]
readme = "README.md"

[tool.poetry.dependencies]
python = "~3.9"
pandas = "1.4.1"
numpy = "1.22.2"
scikit-learn = "1.0.2"
kyle-calibration = "0.1.6"
lightgbm = "3.3.2"
graphviz = "0.19.1"
msgpack = "0.6.2"
Pillow = "9.0.1"
transformers = "4.17.0"
matplotlib = "3.5.1"
seaborn = "0.11.2"
torch = "1.11"
torchvision = "0.12.0"
torchtext = "0.12.0"
notebook = "^6.4.12"
ipywidgets = "7.6.5"
tqdm = "4.62.3"
sphinx-gallery = "^0.11.1"
boto3 = "1.21.6"
gdown = "4.4.0"
requests = "2.27.1"
jupyterlab = "^3.4.8"
kornia = "^0.5"

[tool.poetry.group.dev.dependencies]
pre-commit = "^2.20.0"

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

[tool.black]
line-length = 88
target-version = ['py38']
include = '\.pyi?$'

[tool.isort]
profile = "black"