Package park

Package park

source code

PARK fitting service.

The PARK fitting service is a set of python packages to support fitting in datasets. Using common python infrastructure such as scipy optimizers, numpy arrays, and matplotlib plotting, park allows you to define models, associate them with datasets and simultaneously fit them. Park provides a simple job queue to manage multiple fits using separate processes or running across the network on separate machines.

Usage

To get started with park, you will need to first define the models that you are using. These can be very basic models, listing all possible fitting parameters. When setting up the fit later, you will be able to combine models, using parameter expressions to relate the values in one model with those in another. See park.model for details.

Once your models are constructed you can use them in a fit. See park.fit for details.

Important classes and functions: park.model.Model, park.parameter.ParameterSet, park.fit.Fit

Submodules

Functions
 
fetch_url(url=None, **kw)
Request a file based on URL.
source code
 
local_service() source code
 
remote_service(URL) source code
Variables
  _ = '\nInstallation\n============\n\nThe latest version of Par...
Variables Details

_

Value:
'''
Installation
============

The latest version of Park is available from
http://www.reflectometry.org/danse/park.


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