Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

b_fade-0.0.0.tar.gz (33.3 kB view hashes)

Uploaded Source

Built Distribution

b_fade-0.0.0-py3-none-any.whl (37.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page