Fast model fitting via Bayesian inference
Project description
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 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 bayesim-0.10.2.tar.gz.
File metadata
- Download URL: bayesim-0.10.2.tar.gz
- Upload date:
- Size: 51.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5f72bb706e4a9798a39fb1fd04c56bc1dfe70a76dcf0f08b883ae0a35db408e3
|
|
| MD5 |
ed06379ab6c1fb10c5cff86583c6dadb
|
|
| BLAKE2b-256 |
e658c80222655324513a65d86112a49ef7176b6ae79166b8af1022d17801e795
|
File details
Details for the file bayesim-0.10.2-py3-none-any.whl.
File metadata
- Download URL: bayesim-0.10.2-py3-none-any.whl
- Upload date:
- Size: 52.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d5c521577532ccf9faf81e4c28baa6d06adebfd5170d7ecffbc22d6458570154
|
|
| MD5 |
438b297b655e8d94a2f7ebc4416b1057
|
|
| BLAKE2b-256 |
f9dfb04d25cde1ff89443f3ac396357cabecd3ab6818d69452b7caaa4fccbadc
|
