Coronacast provides a simple interface for performing time-series forecasting for COVID-19 cases using bayesian models.
1 maintainer
Metadata
1 maintainer
Release files for Coronacaster 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| Coronacaster-0.2.0.tar.gz | 9.7 kB | Without provenance | Details for Coronacaster-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| Coronacaster-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for Coronacaster-0.2.0-py3-none-any.whl |
Total release size: 19.2 kB
Release files / Coronacaster-0.2.0.tar.gz
| Download URL | Coronacaster-0.2.0.tar.gz |
|---|---|
| Size | 9.7 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/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.9.0
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Release files / Coronacaster-0.2.0-py3-none-any.whl
| Download URL | Coronacaster-0.2.0-py3-none-any.whl |
|---|---|
| Size | 9.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
417dd557bb5c04c743768c29ce8284fd133b73d107c1c121084d58eb7bd41858
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BLAKE2b-256 checksum How to use checksums |
a0c35058ac76374c9cbfb29a5d837a1659a8df28dc6c0b2b3cdf366135267bdf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.9.0
|
Security for Coronacaster 0.2.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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