A package for time series forecasting with Machine Learning and uncertainty quantification
Metadata
Release files for ahead 0.38.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ahead-0.38.7.tar.gz | 42.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ahead-0.38.7-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 68.7 kB
Release files / ahead-0.38.7.tar.gz
| Download URL | ahead-0.38.7.tar.gz |
|---|---|
| Size | 42.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.12
|
Release files / ahead-0.38.7-py2.py3-none-any.whl
| Download URL | ahead-0.38.7-py2.py3-none-any.whl |
|---|---|
| Size | 26.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
b05be67c6ed521af1738887f6d14ff2d526d7c761b5a0629931038c618b91aa2
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BLAKE2b-256 checksum How to use checksums |
85c3f8e1914ecdb0ec17edb5f0312d381b8e76861d0caa18a8dcfbe408782909
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.12
|