Description
The little home on the internet for our adaptive grid sampled Bayesian inference code. Check it out if you want to compute probability distributions over ~1-10 input parameters to a relatively computationally expensive (10’s of core-seconds per evaluation) model.
More detailed documentation here.
Installation and Usage
Install using
pip install bayesimInformation
- Authors:
Rachel C. Kurchin and Giuseppe Romano
- Version:
0.10.0 as of August 2023
Release files for bayesim 0.10.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bayesim-0.10.2.tar.gz | 51.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bayesim-0.10.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 103.7 kB
Release files / bayesim-0.10.2.tar.gz
| Download URL | bayesim-0.10.2.tar.gz |
|---|---|
| Size | 51.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5f72bb706e4a9798a39fb1fd04c56bc1dfe70a76dcf0f08b883ae0a35db408e3
|
|
BLAKE2b-256 checksum How to use checksums |
e658c80222655324513a65d86112a49ef7176b6ae79166b8af1022d17801e795
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
|
Release files / bayesim-0.10.2-py3-none-any.whl
| Download URL | bayesim-0.10.2-py3-none-any.whl |
|---|---|
| Size | 52.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d5c521577532ccf9faf81e4c28baa6d06adebfd5170d7ecffbc22d6458570154
|
|
BLAKE2b-256 checksum How to use checksums |
f9dfb04d25cde1ff89443f3ac396357cabecd3ab6818d69452b7caaa4fccbadc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
|
