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-0.0.13.tar.gz (77.4 kB view details)

Uploaded Source

File details

Details for the file pypesto-0.0.13.tar.gz.

File metadata

  • Download URL: pypesto-0.0.13.tar.gz
  • Upload date:
  • Size: 77.4 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/4.46.0 CPython/3.6.7

File hashes

Hashes for pypesto-0.0.13.tar.gz
Algorithm Hash digest
SHA256 8b99e4f9592478431ea7a47edbe409e1d98209e622d85882f432788b5fcdf213
MD5 4add9ed7573dfcefcb8a12a0ae3345ec
BLAKE2b-256 87269ea22958601d00f9f6c1787edb1d8abe54ee726dd1b2e520900a490312bb

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