pyproject.toml

[tool.poetry]
name = "OptCAT"
version = "0.1.0"
description = "OptCAT (= Optuna + CatBoost) provides a scikit-learn compatible estimator that tunes hyperparameters in CatBoost with Optuna."
authors = ["wakame1367 <hotwater1367@gmail.com>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/wakamezake/OptCAT"
keywords = ["catboost", "optuna", "hyperparameter tuning"]

[tool.poetry.dependencies]
python = ">=3.6.1"
catboost = "^0.22"
scikit-learn = "^0.22.2"
pandas = "^1.0.2"
optuna = "^1.2.0"

[tool.poetry.dev-dependencies]
pytest = "*"
pre-commit = "*"
flake8 = "*"
mypy = "*"

[tool.black]
line-length = 88
target-version = ['py36', 'py37', 'py38']
exclude = '''
/(
    \.eggs
  | \.git
  | \.hg
  | \.mypy_cache
  | \.tox
  | \.venv
  | _build
  | buck-out
  | build
  | dist
)/
'''

[build-system]
requires = ["poetry>=0.12"]
build-backend = "poetry.masonry.api"