Pre-release
This release is a pre-release and may not be stable for production use.
This is a placeholder for a future prescience package. See FullyBayesianForecastsExample for an example Fully Bayesian Forecast using evidence networks, and the code which prescience will be based on.
1 maintainer
Metadata
1 maintainer
Release files for prescience 0.0.0a2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| prescience-0.0.0a2.tar.gz | 2.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| prescience-0.0.0a2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.3 kB
Release files / prescience-0.0.0a2.tar.gz
| Download URL | prescience-0.0.0a2.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.5
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Release files / prescience-0.0.0a2-py3-none-any.whl
| Download URL | prescience-0.0.0a2-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
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