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pyproject.toml
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47 lines (45 loc) · 1.21 KB
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[tool.poetry]
name = "onelearn"
version = "0.3.0"
description = "onelearn is a small python package for online learning"
readme = "README.md"
authors = ["Stéphane Gaïffas <stephane.gaiffas@gmail.com>"]
homepage = "https://onelearn.readthedocs.io"
documentation = "https://onelearn.readthedocs.io"
keywords = [
"machine-learning",
"online-learning-algorithms",
"python",
"random-forest",
"classification",
"regression"
]
repository = "https://github.com/onelearn/onelearn"
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: BSD License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Operating System :: POSIX",
"Operating System :: Unix"
]
[tool.poetry.dependencies]
bokeh = "^1.3.4"
colorcet = "^2.0.2"
matplotlib = "^3.1"
numba = "^0.51"
numpy = "^1.17.4"
python = "^3.7"
seaborn = "^0.9"
scikit-learn = "^0.22"
scipy = "^1.3.2"
streamlit = "^0.49.0"
tqdm = "^4.36"
[tool.poetry.dev-dependencies]
coverage = "^4.5"
pytest = "^5.3"
pytest-cov = "^2.8"
python-coveralls = "^2.9"