SimultaneousEvaluator

class minkit.SimultaneousEvaluator(evaluators, constraints=None)

Bases: minkit.Evaluator

Build an object to evaluate PDFs on independent data samples. This class is not meant to be used by users.

Parameters:

• evaluators (list(UnbinnedEvaluator or BinnedEvaluator)) – list of evaluators to use.
• constraints (list(PDF) or None) – set of constraints to consider in the minimization.

Attributes Summary

args	All the arguments of the evaluator.
data	Data sample.
pdf	Probability density function.

Methods Summary

__call__(*values)	Evaluate the FCN.
fcn()	Calculate the value of the FCN with the current set of values.
using_caches()	Create a context where the cache of the PDF is activated.

Attributes Documentation

args

All the arguments of the evaluator.

Type:Registry(Parameter)

data

Data sample.

Type:DataSet or BinnedDataSet

pdf

Probability density function.

Type:PDF

Methods Documentation

__call__(*values)

Evaluate the FCN. Values must be provided sorted as PDF.args().

Parameters:values (tuple(float)) – set of values to evaluate the FCN. Returns:Value of the FCN. Return type:float

See also

Evaluator.fcn()

fcn()

Calculate the value of the FCN with the current set of values.

Returns:Value of the FCN. Return type:float

using_caches()

Create a context where the cache of the PDF is activated. This should be done before successive calls to the evaluator.