B-FADE: Bayesian FAtigue moDel Estimator
Project description
B-FADE: Bayesian FAtigue moDel Estimator
The package implements Maximum a Posteriori Estimation (MAP) to accomplish the estimation of fatigue models' parameters. Currently the package is designed to identify the El Haddad (EH) curve given a fatigue & defectivity characterisation dataset. Other curves are foreseen in future developments.
Features
- Maximum a Posteriori Estimation and computation of the predictive posterior.
- Monte Carlo Estimation of the prediction interval for the considered curve.
- Data pre-processing & visualisation.
Quick Setup
B-FADE is available at PyPI, so it can be installed using common package managers, such as pip
or conda
:
pip install --user b-fade
conda install b-fade
For further instructions, please take a look at the documentation.
Documentation
Please refer to ReadTheDocs for detailed instructions about installing, utilising B-FADE and working examples.
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
File details
Details for the file b_fade-0.0.0.tar.gz
.
File metadata
- Download URL: b_fade-0.0.0.tar.gz
- Upload date:
- Size: 33.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 397c26163300c983db29eb2e6626be249c814abf9be59b8638da864ac5641c25 |
|
MD5 | b486b38331d3e1ab3a4a4905e7b26aa5 |
|
BLAKE2b-256 | 8fc9cbe9e716767c61f0ff9bef9c3a08c5b99aac068329238fd0a04b0369bd68 |
File details
Details for the file b_fade-0.0.0-py3-none-any.whl
.
File metadata
- Download URL: b_fade-0.0.0-py3-none-any.whl
- Upload date:
- Size: 37.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 862917a803b00b7dcc7a9bd9e8e1eb942d8520f694bbb67b1e37e950502d8596 |
|
MD5 | febe8b0b1c2ece5231d7e9605553fab5 |
|
BLAKE2b-256 | b0f5f17c08817f3f66c2e1a76b144e776c146e272c61a8cc3684044586054bcd |