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1 | 1 | [tool.poetry] |
2 | | -name = "torchts" |
| 2 | +name = "torchTS" |
3 | 3 | version = "0.1.0" |
4 | 4 | description = "Time series forecasting with PyTorch" |
5 | 5 | authors = [ |
6 | | - |
7 | | - "Aparna Gupta <[email protected]>", |
8 | | - "Raul Martinez <[email protected]>", |
9 | | - "Daniel Roten <[email protected]>", |
10 | | - |
| 6 | + "TorchTS Team <[email protected]>" |
| 7 | +] |
| 8 | +maintainers = [ |
| 9 | + |
| 10 | + |
| 11 | + "Aparna Gupta <[email protected]>", |
| 12 | + "Raul Martinez <[email protected]>", |
| 13 | + "Daniel Roten <[email protected]>", |
| 14 | + |
11 | 15 | ] |
12 | 16 | license = "MIT" |
13 | 17 | readme = "README.md" |
| 18 | +homepage = "https://rose-stl-lab.github.io/torchTS" |
14 | 19 | repository = "https://github.com/Rose-STL-Lab/torchTS" |
15 | | -documentation = "https://rose-stl-lab.github.io/torchTS" |
16 | | -keywords = ["time-series", "machine-learning", "pytorch"] |
| 20 | +documentation = "https://rose-stl-lab.github.io/torchTS/docs" |
| 21 | +keywords = ["deep-learning", "machine-learning", "time-series", "pytorch"] |
| 22 | +classifiers = [ |
| 23 | + "Development Status :: 3 - Alpha", |
| 24 | + "Intended Audience :: Developers", |
| 25 | + "Intended Audience :: Science/Research", |
| 26 | + "Topic :: Scientific/Engineering", |
| 27 | + "Topic :: Software Development :: Libraries :: Python Modules" |
| 28 | +] |
17 | 29 |
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18 | 30 | [tool.poetry.dependencies] |
19 | 31 | python = ">=3.7,<3.10" |
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