No project description provided
Project description
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).
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
PyMHSS-0.0.4.tar.gz
(10.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file PyMHSS-0.0.4.tar.gz.
File metadata
- Download URL: PyMHSS-0.0.4.tar.gz
- Upload date:
- Size: 10.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cdd517e8dd1d2e6a4a1232af7c71af9d4f060228cdf18b9b459cdc932900d215
|
|
| MD5 |
e098c010024e5d88dcb26d408832b241
|
|
| BLAKE2b-256 |
fa0e6a68bd9f719e8b4ba7705cf5a9304f3b384c1bac0d8d386527b154b2c405
|
File details
Details for the file PyMHSS-0.0.4-py3-none-any.whl.
File metadata
- Download URL: PyMHSS-0.0.4-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6b52a72bf94f71ec7c2eda1b07c0a069d6ffe8db40e2e6c3ba6e4f710c571dbd
|
|
| MD5 |
e6b330af84363cddbb5c84312e0b3577
|
|
| BLAKE2b-256 |
b2948ca5351a33a60cb0e2fe97eee9422d167a9839b36c4c198cc08256d97b43
|
