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pyproject.toml
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pyproject.toml
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[build-system]
build-backend = "hatchling.build"
requires = ["hatchling"]
[project]
name = "LANDMarkClassifier"
version = "2.1.1"
authors = [
{name = "Josip Rudar", email = "[email protected]"},
{name = "Teresita M. Porter"},
{name = "Michael Wright"},
{name = "G. Brian Golding"},
{name = "Mehrdad Hajibabaei", email = "[email protected]"}
]
description = "LANDMark: An ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data"
keywords = [
"ecology",
"multivariate statistics",
"machine learning",
"classification"
]
license = {file = "LICENSE"}
readme = "README.md"
requires-python = ">=3.10"
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3 :: Only",
]
dependencies = [
"numpy >= 1.26",
"scikit-learn >= 1.1.2",
"joblib >= 1.2.0",
"pandas >= 1.5.0",
"scipy >= 1.8.1",
"skorch >= 0.13.0",
"torch >= 2.0.1"
]
[project.urls]
"Homepage" = "https://github.com/jrudar/LANDMark"
"Repository" = "https://github.com/jrudar/LANDMark.git"
"Bug Tracker" = "https://github.com/jrudar/LANDMark/issues"
[project.optional-dependencies]
dev = [
"black",
"mypy",
"ruff",
"twine",
]
test = [
"pytest",
"pytest-cov"
]
[tool.setuptools]
py-modules = ["LANDMarkClassifier"]
[tool.pytest.ini_options]
addopts = "--cov --cov-report html --cov-report term-missing --cov-fail-under 30"
[tool.coverage.run]
source = ["LANDMarkClassifier"]