Skip to main content

python Parameter EStimation TOolbox

Project description

pyPESTO - Parameter EStimation TOolbox for python

pyPESTO logo

pyPESTO is a widely applicable and highly customizable toolbox for parameter estimation.

PyPI version Build Status Code coverage Code quality Documentation Status DOI

Feature overview

pyPESTO features include:

  • Multi-start local optimization
  • Profile computation
  • Result visualization
  • Interface to AMICI for efficient simulation and sensitivity analysis of ordinary differential equation (ODE) models (example)
  • Parameter estimation pipeline for systems biology problems specified in SBML and PEtab (example)
  • Parameter estimation with qualitative data as described in Schmiester et al. (2019). This is currently implemented in the feature_ordinal branch.

Quick install

The simplest way to install pyPESTO is via pip:

pip3 install pypesto

More information is available here: https://pypesto.readthedocs.io/en/latest/install.html

Documentation

The documentation is hosted on readthedocs.io: https://pypesto.readthedocs.io

Examples

Multiple use cases are discussed in the documentation. In particular, there are jupyter notebooks in the doc/example directory.

Contributing

We are happy about any contributions. For more information on how to contribute to pyPESTO check out https://pypesto.readthedocs.io/en/latest/contribute.html

References

PESTO: Parameter estimation toolbox for MATLAB. Development is discontinued, but PESTO comes with additional features waiting to be ported to pyPESTO.

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

pypesto-0.0.12.tar.gz (67.0 kB view details)

Uploaded Source

File details

Details for the file pypesto-0.0.12.tar.gz.

File metadata

  • Download URL: pypesto-0.0.12.tar.gz
  • Upload date:
  • Size: 67.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.7

File hashes

Hashes for pypesto-0.0.12.tar.gz
Algorithm Hash digest
SHA256 cc1e8f4d2a9c9e737ed0932955bf6dbda0c31e3ed9256de3304062647b9efbb8
MD5 749408a2b778cc4d2f2e822ddef33d85
BLAKE2b-256 b720f0f3f6b67466a36ef821dc8d73b1b0d2079207f920879d8bac4b78f90c5d

See more details on using hashes here.

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