class sherpa.sim.sample.ParameterScaleMatrix[source] [edit on github]

Bases: ParameterScale

Correlated errors for the parameters.

Attributes Summary


Methods Summary

get_scales(fit[, myscales])

Return the samples.

Attributes Documentation

sigma = 1

Methods Documentation

get_scales(fit, myscales=None)[source] [edit on github]

Return the samples.

  • fit ( instance) – This defines the thawed parameters that are used to generate the samples, along with any possible error analysis.

  • myscales (numpy array or None, optional) – The scales to use. If None then they are calculated from the fit.


scales – Two-dimensional scales array (npar by npar elements, matching the free parameters in fit). The values are the covariance matrix for the parameters (or the input values if given).

Return type

numpy array