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pyproject.toml
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78 lines (73 loc) · 2.01 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "AlphaPFN"
version = "0.0.2"
description = "Fast Entropy Search via In-Context Learning (PFN-based amortized acquisition functions for Bayesian Optimization)"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.10"
authors = [
{ name = "Herilalaina Rakotoarison" },
{ name = "Steven Adriaensen" },
{ name = "Tom Viering" },
{ name = "Carl Hvarfner" },
{ name = "Samuel Müller" },
{ name = "Frank Hutter" },
{ name = "Eytan Bakshy" },
]
maintainers = [
{ name = "Herilalaina Rakotoarison", email = "rkt.herilalaina@gmail.com" },
]
keywords = [
"bayesian-optimization",
"entropy-search",
"prior-fitted-networks",
"pfn",
"in-context-learning",
"amortized-inference",
"acquisition-function",
"pytorch",
]
dependencies = [
"torch>=1.9.0",
"einops",
"safetensors[torch]",
"typing_extensions",
"platformdirs",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Mathematics",
]
[project.urls]
Homepage = "https://github.com/automl/AlphaPFN"
Repository = "https://github.com/automl/AlphaPFN"
Issues = "https://github.com/automl/AlphaPFN/issues"
Paper = "https://openreview.net/forum?id=7Oonij8oLU"
[project.optional-dependencies]
botorch = ["botorch>=0.15.0"]
[tool.hatch.build]
exclude = [
"*.gz",
"*.pt",
"images/*",
"examples/*.ipynb",
".slurm-test/",
".venv/",
"uv.lock",
".gitignore",
".cursorignore",
]
[tool.hatch.build.targets.wheel]
packages = ["alphapfn"]