BinnedEvaluator

class minkit.BinnedEvaluator(fcn, pdf, data, constraints=None)[source]

Bases: minkit.Evaluator

Proxy class to evaluate an FCN with a PDF on a BinnedDataSet object.

Parameters

  • fcn (str) – FCN to be used during minimization.

  • pdf (PDF) – PDF to minimize.

  • data (BinnedDataSet) – data sample to process.

  • constraints (list(PDF)) – set of constraints to consider in the minimization.

Attributes Summary

args

All the arguments of the evaluator.

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)

Methods Documentation

__call__(*values)[source]

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

fcn()[source]

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

Returns

Value of the FCN.

Return type

float

using_caches()[source]

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