1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74
|
# Copyright (C) 2007-2009 Cournapeau David <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# 2014 Gael Varoquaux
# 2014-2016 Sergei Lebedev <superbobry@gmail.com>
# 2018-2023 Antony Lee
# 2023- Matthew Danielson
[build-system]
requires = [
"setuptools>=62",
"setuptools_scm[toml]>=6.2",
"pybind11>=2.6.0",
]
build-backend = "setuptools.build_meta"
[project]
name = "hmmlearn"
description = "Hidden Markov Models in Python with scikit-learn like API"
readme = "README.rst"
authors = [
{name = "David Cournapeau"}, # 2007-2009
{name = "Fabian Pedregosa"}, # 2010
{name = "Gael Varoquaux"}, # 2014
{name = "Sergei Lebedev"}, # 2014-2016
{name = "Antony Lee"}, # 2018-2023
{name = "Matthew Danielson"}, # 2023
]
urls = {Repository = "https://github.com/hmmlearn/hmmlearn"}
classifiers = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: BSD License",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
]
requires-python = ">=3.8"
dependencies = [
"numpy>=1.10", # np.broadcast_to.
"scikit-learn>=0.16,!=0.22.0", # check_array, check_is_fitted.
"scipy>=0.19", # scipy.special.logsumexp.
]
dynamic = ["version"]
[project.optional-dependencies]
tests = [
"pytest",
]
docs = [
"matplotlib",
"pydata_sphinx_theme",
"sphinx>=2.0",
"sphinx-gallery",
]
[tool.setuptools_scm]
version_scheme = "post-release"
local_scheme = "node-and-date"
fallback_version = "0+unknown"
[tool.coverage.run]
branch = true
source_pkgs = ["hmmlearn"]
[tool.pytest.ini_options]
addopts = "--doctest-glob=src/**/*.py --doctest-glob=*.rst"
filterwarnings = [
"error",
"ignore::DeprecationWarning",
"error::DeprecationWarning:hmmlearn",
"ignore:underflow",
]
|