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