Yichen Zhou
45 lines
1.3 KiB
TOML
45 lines
1.3 KiB
TOML
[tool.poetry]
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name = "timesfm"
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packages = [
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{ include = "*", from = "src" },
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]
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description = "Open weights time-series foundation model from Google Research."
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version = "1.0.1"
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authors = [
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"Rajat Sen <senrajat@google.com>",
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"Yichen Zhou <yichenzhou@google.com>",
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"Abhimanyu Das <abhidas@google.com>",
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"Petros Mol <pmol@google.com>",
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"Justin Güse <guese.justin@gmail.com>",
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]
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readme = "README.md"
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keywords = ["time series", "timesfm", "forecast", "time series model"]
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homepage = "https://github.com/google-research/timesfm"
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repository = "https://github.com/google-research/timesfm"
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classifiers = [
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"Environment :: Console",
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"Framework :: Flake8",
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"Operating System :: OS Independent",
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"Topic :: Software Development :: Documentation",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"Topic :: Software Development :: Quality Assurance",
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]
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include = [
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"LICENSE",
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]
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[tool.poetry.dependencies]
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python = ">=3.10,<3.11"
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einshape = "1.0.0"
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numpy = "1.26.4"
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pandas = "2.1.4"
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paxml = "1.4.0"
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utilsforecast = "0.1.10"
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jax = {version = "0.4.26", extras = ["cuda12"]}
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jaxlib = "0.4.26"
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huggingface_hub = {version = "0.23.0", extras = ["cli"]}
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scikit-learn = "1.0.2"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api" |