TemplateHypothesis

class remu.likelihood.TemplateHypothesis(templates, constant=None, parameter_limits=None, *args, **kwargs)

Bases: remu.likelihood.LinearHypothesis

Convenience class to turn truth templates into a CompositeHypothesis.

Parameters:

templates : iterable of ndarrays

Iterable of truth vector templates.

constant : ndarray, optional

Constant offset to be added to the truth vector.

parameter_limits : iterable of tuple of floats, optional

An iterable of lower and upper limits of the hypothesis’ parameters. Defaults to non-negative parameter values.

*args, **kwargs : optional

Other arguments are passed to the LinearHypothesis init method.

See also

LinearHypothesis

fix_parameters(fix_values)

Return a new CompositeHypothesis by fixing some parameters.

Parameters:

fix_values : iterable of values

This iterable must have the same length as the vector of parameters of the CompositeHypothesis. The parameters of the new CompositeHypothesis are fixed to the given values. Parameters that should not be fixed must be specified with None. For example, to fix the first and third parameter of a 3-parameter hypothesis, fix_values must look like this:

(1.23, None, 9.87)

The resulting CompositeHypothesis has one free parameter, the second parameter of the original hypothesis.

translate(parameters)

Translate the parameter vector to a truth vector.

Parameters:

parameters : ndarray like

Vector of the hypothesis parameters.

Returns:

ndarray

Vector of the corresponding truth space expectation values.