ParameterScaleVector
- class sherpa.sim.sample.ParameterScaleVector[source] [edit on github]
Bases:
ParameterScale
Uncorrelated 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.
- Parameters:
fit (sherpa.fit.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.
- Returns:
scales – One-dimensional scales array (npar elements, matching the free parameters in fit). The values are the sigma errors for the parameters (or the input values if given).
- Return type:
numpy array