lsst.modelfit.parameters

modelfit_parameters provides interfaces for parameters with floating point values, limits, transforming functions (transforms), and some associated metadata like names, descriptions, units with string names, labels for individual parameters, etc. These are intended for use in parametric model fitting, where parameters may be fixed or free (which indicates that they are to be optimized).

Using lsst.modelfit.parameters

Example usage can be found in the unit tests.

Contributing

lsst.modelfit.parameters is developed at https://github.com/lsst/modelfit_parameters. You can find Jira issues for this module under the modelfit_parameters component.

Python API reference

lsst.modelfit.parameters has no Python bindings (yet), as no standard Parameter classes are included. Packages defining parameters should include their own bindings.