Python package that can be used to reproduce the figures and tables presented in Prado, E.B., Nemeth, C. & Sherlock, C. Metropolis-Hastings with Scalable Subsampling. arxiv (2024).
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1 maintainer
Release files for pymhss 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pymhss-0.1.5.tar.gz | 13.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pymhss-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.9 kB
Release files / pymhss-0.1.5.tar.gz
| Download URL | pymhss-0.1.5.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.9.6
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Release files / pymhss-0.1.5-py3-none-any.whl
| Download URL | pymhss-0.1.5-py3-none-any.whl |
|---|---|
| Size | 13.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/6.1.0 CPython/3.9.6
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