Skip to content

Management of large, hierarchical parameter sets for modelling and simulation

License

Notifications You must be signed in to change notification settings

markovg/parameters

 
 

Repository files navigation

==========
Parameters
==========

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

About

Management of large, hierarchical parameter sets for modelling and simulation

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%