Fitting (`sunkit_spex.fitting`)#

sunkit_spex.fitting contains the sunkit-spex fitting infrastructure including statistics, optimisers and fitters.

sunkit_spex.fitting.fitters Module#

`JointFitter`(optimizer, statistic)	Base class for all joint fitters.
`ScipyMinimizeJointFitter`([statistic])

This module contains functions to wrap around minimizer tools.

Decorators for the fit metrics module.

Metrics should contain the same base inputs so need to check them.

This module contains functions that compute a log-likelihood between two data-sets.

gaussian(data_ys, model_ys, data_y_weights, ...)

Gaussian log-likelihood (to be maximized).

This module contains functions that compute a fit statistic between two data-sets.

`cash`(data_ys, model_ys, **kwargs)	The value to optimise while fitting.
`chi_squared`(data_ys, model_ys[, data_y_weights])	The value to optimise while fitting.

Host utility functions that are useful for the metric module.

`error_to_weights`(error)	Convert weights to errors.
`weights_to_error`(weights)	Convert weights to errors.