pyproject.toml

[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"

[project]
name = "driftweight"
version = "0.1.0"
description = "Recency/sample weighting for regime drift: learn how much to favor recent rows, then require held-out + magnitude-matched null validation. numpy-only."
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }
authors = [{ name = "Amarel Taylor Scott" }]
keywords = ["machine-learning", "sample-weighting", "drift", "recency", "robust", "tabular", "kaggle"]
dependencies = ["numpy>=1.21"]

[project.scripts]
driftweight = "driftweight.cli:main"

[project.optional-dependencies]
dev = ["pytest"]

[tool.setuptools]
packages = ["driftweight"]