pm4py.algo.analysis.extended_marking_equation package

Submodules

pm4py.algo.analysis.extended_marking_equation.algorithm module

class pm4py.algo.analysis.extended_marking_equation.algorithm.Variants(value)[source]

Bases: enum.Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.analysis.extended_marking_equation.variants.classic' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\analysis\\extended_marking_equation\\variants\\classic.py'>
pm4py.algo.analysis.extended_marking_equation.algorithm.build(trace: pm4py.objects.log.obj.Trace, sync_net: pm4py.objects.petri_net.obj.PetriNet, sync_im: pm4py.objects.petri_net.obj.Marking, sync_fm: pm4py.objects.petri_net.obj.Marking, variant=<Variants.CLASSIC: <module 'pm4py.algo.analysis.extended_marking_equation.variants.classic' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\analysis\\extended_marking_equation\\variants\\classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → Any[source]

Builds the extended marking equation out of a trace and a synchronous product net

Parameters
  • trace – Trace

  • sync_net – Synchronous product net

  • sync_im – Initial marking (of sync net)

  • sync_fm – Final marking (of sync net)

  • variant – Variant of the algorithm to use, possible values: - Variants.CLASSIC

  • parameters – Parameters of the algorithm, including: - Parameters.CASE_ID_KEY => attribute to use as case identifier - Parameters.ACTIVITY_KEY => attribute to use as activity - Parameters.COSTS => (if provided) the cost function (otherwise the default cost function is applied) - Parameters.SPLIT_IDX => (if provided) the split points as indices of elements of the trace

    (e.g. for [“A”, “B”, “C”, “D”, “E”], specifying [1,3] as split points means splitting at “B” and “D”). If not provided, some split points at uniform distances are found.

    • Parameters.MAX_K_VALUE => the maximum number of split points that is allowed (trim the specified indexes

      if necessary).

    • Parameters.INCIDENCE_MATRIX => (if provided) the incidence matrix associated to the sync product net

    • Parameters.A => (if provided) the A numpy matrix of the incidence matrix

    • Parameters.CONSUMPTION_MATRIX => (if provided) the consumption matrix associated to the sync product net

    • Parameters.C => (if provided) the C numpy matrix of the consumption matrix

    • Parameters.FULL_BOOTSTRAP_REQUIRED => The preset/postset of places/transitions need to be inserted

pm4py.algo.analysis.extended_marking_equation.algorithm.get_h_value(solver: Any, variant=<Variants.CLASSIC: <module 'pm4py.algo.analysis.extended_marking_equation.variants.classic' from 'C:\\Users\\berti\\FRAUNHOFER\\pm4py-core\\pm4py\\algo\\analysis\\extended_marking_equation\\variants\\classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → int[source]

Gets the heuristics value from the extended marking equation

Parameters
  • solver – Extended marking equation solver (class in this file)

  • variant – Variant of the algorithm to use, possible values: - Variants.CLASSIC

  • parameters – Possible parameters of the algorithm

Module contents