KNNInterpolator¶

class sherpa.models.template.KNNInterpolator(name, template_model, k=None, order=2)[source]¶

Bases: sherpa.models.template.InterpolatingTemplateModel

Attributes Summary

`thawedparhardmaxes`
`thawedparhardmins`
`thawedparmaxes`
`thawedparmins`
`thawedpars`

Methods Summary

`apply`(outer, \otherargs, \\*otherkwargs)
`calc`(pars, xlo, \args, \\*kwargs)
`fold`(data)
`get_center`()
`guess`(dep, \args, \\*kwargs)	Set an initial guess for the parameter values.
`interpolate`(point, x_out)
`reset`()
`set_center`(\args, \\*kwargs)
`startup`()
`teardown`()

Attributes Documentation

thawedparhardmaxes¶

thawedparhardmins¶

thawedparmaxes¶

thawedparmins¶

thawedpars¶

Methods Documentation

apply(outer, *otherargs, **otherkwargs)¶

calc(pars, xlo, *args, **kwargs)¶

fold(data)¶

get_center()¶

guess(dep, *args, **kwargs)¶

Set an initial guess for the parameter values.

Attempt to set the parameter values, and ranges, for the model to match the data values. This is intended as a rough guess, so it is expected that the model is only evaluated a small number of times, if at all.

interpolate(point, x_out)[source]¶

reset()¶

set_center(*args, **kwargs)¶

startup()¶

teardown()¶