Skip to main content

Management of large, hierarchical parameter sets for modelling and simulation

Project description

We consider it to be best practice to cleanly separate the parameters of a model from the model itself. At the least, parameters should be defined in a separate section at the start of a file. Ideally, they should be defined in a separate file entirely. This makes version control easier, since the model code typically changes less often than the parameters, and makes it easier to track a simulation project, since the parameter sets can be stored in a database, displayed in a GUI, etc.

The Parameters package provides Python classes to make it easier to work with parameter sets for complex models. In particular it provides tools for

  • working with parameters for models that have a deep hierarchical structure;

  • specifying that a parameter value should be drawn from a random distribution;

  • specifying a range of values, for example for performing a sensitivity analysis;

  • specifying the physical dimensions and range of permissible values of parameters;

  • defining and iterating over multiple points in a parameter space;

  • validation of parameter sets against a pre-defined schema.

License

Copyright (C) 2008-2013 Andrew Davison, Eilif Muller, Jan Antolik

Parameters is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

The GNU General Public License does not permit this software to be redistributed in proprietary programs.

See source:LICENSE.txt

Installation

$ pip install parameters

Documentation

https://parameters.readthedocs.org/

Reporting Bugs

https://github.com/NeuralEnsemble/parameters/issues

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

parameters-0.2.1.tar.gz (38.7 kB view details)

Uploaded Source

File details

Details for the file parameters-0.2.1.tar.gz.

File metadata

  • Download URL: parameters-0.2.1.tar.gz
  • Upload date:
  • Size: 38.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for parameters-0.2.1.tar.gz
Algorithm Hash digest
SHA256 543bc7778be852e0e58692f328bf2b1e24566d66eb47cb693a8eb3939f631d14
MD5 b3e9623e431dfc4a99adf08bbb095c2e
BLAKE2b-256 40f1083c2f2ee6066c39fbdc65d2b0b9669091244852edf8fc5b1399f051ca5b

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