Panelformer/pyproject.toml at main · aaivu/Panelformer · GitHub

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[tool.poetry]
name = "Panelformer"
version = "0.2.4"
description = "A transformer-based architecture for robust panel time series forecasting, extending the Temporal Fusion Transformer with multi-scale decomposition, Segment-wise Attention, cross-entity attention, and adaptive trend-seasonal modeling."
authors = [
    "Shabthana Johnson",
    "Kajaani Balabavan",
    "Sathurgini Uthayakumar",
    "Uthayasanker Thayasivam"
]
license = "MIT"
readme = "README.md"
homepage = "https://github.com/aaivu/Panelformer/"
repository = "https://github.com/aaivu/Panelformer/"
documentation = "https://github.com/aaivu/Panelformer/blob/main/README.md"
classifiers = [
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Mathematics",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development",
    "Topic :: Software Development :: Libraries",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "License :: OSI Approved :: MIT License"
]

packages = [
    { include = "Panelformer" }
]

[tool.poetry.dependencies]
python = ">=3.9,<3.14"
numpy = "<=3.0.0"
pandas = ">=1.3.0,<3.0.0"
scikit-learn = ">=1.2,<2.0"
torch = ">=2.0.0,<3.0.0,!=2.0.1"
lightning = ">=2.0.0,<3.0.0"
pytorch-forecasting = ">=1.0.0,<2.0.0"

[tool.poetry.extras]
all_extras = [
    "cpflows",
    "matplotlib",
    "optuna",
    "optuna-integration",
    "pytorch_optimizer",
    "statsmodels"
]

tuning = [
    "optuna",
    "optuna-integration",
    "statsmodels"
]

mqf2 = ["cpflows"]
graph = ["networkx"]

[tool.poetry.group.dev.dependencies]
pydocstyle = ">=6.1.1,<7.0.0"
pre-commit = ">=3.2.0,<5.0.0"
invoke = "*"
mypy = "*"
pylint = "*"
ruff = "*"
pytest = "*"
pytest-xdist = "*"
pytest-cov = "*"
pytest-sugar = "*"
coverage = "*"
pyarrow = "*"
ipykernel = "*"
nbconvert = "*"
black = { extras = ["jupyter"], version = "*" }
sphinx = "*"
pydata-sphinx-theme = "*"
nbsphinx = "*"
recommonmark = "*"
ipywidgets = ">=8.0.1,<9.0.0"
pytest-dotenv = ">=0.5.2,<1.0.0"
tensorboard = ">=2.12.1,<3.0.0"
pandoc = ">=2.3,<3.0.0"
scikit-base = "*"

[tool.poetry.group.docs.dependencies]
sphinx = ">3.2,<8.2.4"
pydata-sphinx-theme = "*"
nbsphinx = "*"
pandoc = "*"
nbconvert = "*"
recommonmark = "*"
docutils = "*"

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"