Files
timesfm/pyproject.toml
T

60 lines
1.5 KiB
TOML

# This project can be installed with `python3 -m pip install -e .` from the main directory.
[project]
name = "timesfm-jax"
packages = [
{ include = "*", from = "src" },
]
version = "0.0.1"
description = "Open weights time-series foundation model from Google Research."
version = "1.0.1"
dependencies = [
"jax==0.4.26",
"paxml==1.4.0",
"praxis==1.4.0",
"jaxlib==0.4.26",
"numpy==1.26.4",
"pandas==2.1.4",
"einshape==1.0.0",
"utilsforecast==0.1.10",
"huggingface_hub[cli]==0.23.0",
"scikit-learn==1.5.1",
]
authors = [
"Rajat Sen <senrajat@google.com>",
"Yichen Zhou <yichenzhou@google.com>",
"Abhimanyu Das <abhidas@google.com>",
"Petros Mol <pmol@google.com>",
"Justin Güse <guese.justin@gmail.com>",
]
readme = "README.md"
keywords = ["time series", "timesfm", "forecast", "time series model"]
homepage = "https://github.com/google-research/timesfm"
repository = "https://github.com/google-research/timesfm"
classifiers = [
"Environment :: Console",
"Framework :: Flake8",
"Operating System :: OS Independent",
"Topic :: Software Development :: Documentation",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Software Development :: Quality Assurance",
]
include = [
"LICENSE",
]
[tool.poetry.dependencies]
python = ">=3.10,<3.11"
einshape = ">=1.0.0"
numpy = ">=1.26.4"
pandas = ">=2.1.4"
paxml = "1.4.0"
jax = "0.4.26"
jaxlib = "0.4.26"
utilsforecast = "^0.1.10"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"