A small example package
Project description
# stahmctestt
This is a package that was developed to perform Stochastic Gradient Hamiltonian Monte Carlo, which is a very efficent in Sampling posterior sample for a baysian problem.
It provides: posterior sampling for both 1 dimension or higher dimensional parameter.
## website: https://github.com/RihuiOu95/Hmc.git/
## Installation
pip install stahmctestt
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
Built Distribution
Close
Hashes for stahmctestt-your-username-1.5.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 08b41a8279f03c9e36522c7fed6fdaf4c4518ba050330f3937fcb832dbfa0431 |
|
| MD5 | 84ecb4338456c84a2d0aafdd6db2582f |
|
| BLAKE2b-256 | 2d99e7c8ca714d7dd25768a4b7a97d4c40f9a369caea7d2fcc38a5c429a11175 |
Close
Hashes for stahmctestt_your_username-1.5-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 954d3f16647c9a347895f4ff1366f947b47588358869bd9fec2aaf458e37e741 |
|
| MD5 | f11884ae225501faace62599e0974cdb |
|
| BLAKE2b-256 | 0e4179c02e7390f030d10e870ac434819fcd2563dd02643d66e33dbe877253b8 |
