FixedParameterMatrixPredictor

class remu.likelihood.FixedParameterMatrixPredictor(predictor, fix_values)[source]

Wrapper class that fixes parameters of a linear predictor.

Speeds things up considerably compared to the universal FixedParameterPredictor, but only works with MatrixPredictor.

See also

Methods

`__call__`(args, *kwargs)	See `prediction()`.
`check_bounds`(parameters)	Check that all parameters are within bounds.
`compose`(other)	Return a new Predictor that is a composition with other.
`fix_parameters`(fix_values)	Return a new Predictor with fewer free parameters.
`insert_fixed_parameters`(parameters)	Insert the fixed parameters into a vector of free parameters.
`prediction`(parameters, args, *kwargs)	Turn a set of parameters into a reco prediction.

compose(other)

Return a new Predictor that is a composition with other.

new_predictor(parameters) = self(other(parameters))

fix_parameters(fix_values)

Return a new Predictor with fewer free parameters.

Parameters

fix_valuesiterable: List of the parameter values that the parameters should be fixed at. The list must be of the same length as the number of parameters of predictor. Any parameters that should remain unfixed should be specified with None or np.nan.