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https://github.com/amazon-science/chronos-forecasting
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*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
44 lines
1.4 KiB
TOML
44 lines
1.4 KiB
TOML
[project]
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name = "chronos-forecasting"
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version = "1.5.2"
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authors = [
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{ name="Abdul Fatir Ansari", email="ansarnd@amazon.com" },
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{ name="Lorenzo Stella", email="stellalo@amazon.com" },
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{ name="Caner Turkmen", email="atturkm@amazon.com" },
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]
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description = "Chronos: Pretrained models for time series forecasting"
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readme = "README.md"
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license = { file = "LICENSE" }
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requires-python = ">=3.9"
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dependencies = [
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"torch>=2.0,<3", # package was tested on 2.2
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"transformers>=4.48,<5",
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"accelerate>=0.32,<2",
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]
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classifiers = [
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/chronos"]
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[project.optional-dependencies]
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test = ["pytest~=8.0", "numpy~=1.21"]
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typecheck = ["mypy~=1.9"]
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training = ["gluonts[pro]~=0.15", "numpy~=1.21", "datasets~=2.18", "typer", "typer-config", "joblib", "scikit-learn", "tensorboard"]
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evaluation = ["gluonts[pro]~=0.15", "numpy~=1.21", "datasets~=2.18", "typer"]
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[project.urls]
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Homepage = "https://github.com/amazon-science/chronos-forecasting"
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Issues = "https://github.com/amazon-science/chronos-forecasting/issues"
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Paper = "https://arxiv.org/abs/2403.07815"
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[tool.mypy]
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ignore_missing_imports = true
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