BinaryOpModel

class sherpa.models.model.BinaryOpModel(lhs, rhs, op, opstr)

Bases: sherpa.models.model.CompositeModel, sherpa.models.model.RegriddableModel

Combine two model expressions.

Parameters

• lhs (Model instance) – The left-hand sides of the expression.

• rhs (Model instance) – The right-hand sides of the expression.

• op (function reference) – The ufunc which combines two array values.

• opstr (str) – The symbol used to represent the operator.

lhs

The left-hand sides of the expression.

Type

Model instance

rhs

The right-hand sides of the expression.

Type

Model instance

op

Type

function reference

See also

UnaryOpModel

Examples

>>> m1 = Gauss1d()
>>> m2 = Polynom1D()
>>> m = BinaryOpModel(m1, m2, numpy.add, '+')

Attributes Summary

ndim
thawedparhardmaxes	The hard maximum values for the thawed parameters.
thawedparhardmins	The hard minimum values for the thawed parameters.
thawedparmaxes	Access to the maximum limits for the thawed parameters
thawedparmins	Access to the minimum limits for the thawed parameters
thawedpars	Access to the thawed parameters of the model

Methods Summary

apply(outer, *otherargs, **otherkwargs)
calc(p, *args, **kwargs)	Evaluate the model on a grid.
get_center()
guess(dep, *args, **kwargs)	Set an initial guess for the parameter values.
regrid(*args, **kwargs)
reset()	Reset the parameter values.
set_center(*args, **kwargs)
startup([cache])	Called before a model may be evaluated multiple times.
teardown()	Called after a model may be evaluated multiple times.
wrapobj(obj)

Attributes Documentation

ndim = None

thawedparhardmaxes

The hard maximum values for the thawed parameters.

thawedparhardmins

The hard minimum values for the thawed parameters.

thawedparmaxes

Access to the maximum limits for the thawed parameters

thawedparmins

Access to the minimum limits for the thawed parameters

thawedpars

Access to the thawed parameters of the model

Methods Documentation

apply(outer, *otherargs, **otherkwargs)

calc(p, *args, **kwargs)

Evaluate the model on a grid.

Parameters

• p (sequence of numbers) – The parameter values to use. The order matches the pars field.

• *args – The model grid. The values can be scalar or arrays, and the number depends on the dimensionality of the model and whether it is being evaluated over an integrated grid or at a point (or points).

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.

regrid(*args, **kwargs)

reset()

Reset the parameter values.

set_center(*args, **kwargs)

startup(cache=False)

Called before a model may be evaluated multiple times.

Parameters

cache (bool, optional) – Should a cache be used when evaluating the models.

See also

teardown()

teardown()

Called after a model may be evaluated multiple times.

See also

setup()

static wrapobj(obj)