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
Project details
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
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 stahmctestt-your-username-1.5.tar.gz.
File metadata
- Download URL: stahmctestt-your-username-1.5.tar.gz
- Upload date:
- Size: 2.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.12.4 setuptools/23.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
08b41a8279f03c9e36522c7fed6fdaf4c4518ba050330f3937fcb832dbfa0431
|
|
| MD5 |
84ecb4338456c84a2d0aafdd6db2582f
|
|
| BLAKE2b-256 |
2d99e7c8ca714d7dd25768a4b7a97d4c40f9a369caea7d2fcc38a5c429a11175
|
File details
Details for the file stahmctestt_your_username-1.5-py3-none-any.whl.
File metadata
- Download URL: stahmctestt_your_username-1.5-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.12.4 setuptools/23.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
954d3f16647c9a347895f4ff1366f947b47588358869bd9fec2aaf458e37e741
|
|
| MD5 |
f11884ae225501faace62599e0974cdb
|
|
| BLAKE2b-256 |
0e4179c02e7390f030d10e870ac434819fcd2563dd02643d66e33dbe877253b8
|