pm4py.algo.analysis.extended_marking_equation package#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
Subpackages#
- pm4py.algo.analysis.extended_marking_equation.variants package
- Submodules
- pm4py.algo.analysis.extended_marking_equation.variants.classic module
Parameters
ExtendedMarkingEquationSolver
ExtendedMarkingEquationSolver.get_components()
ExtendedMarkingEquationSolver.change_ini_vec()
ExtendedMarkingEquationSolver.get_x_vector()
ExtendedMarkingEquationSolver.get_h()
ExtendedMarkingEquationSolver.get_activated_transitions()
ExtendedMarkingEquationSolver.solve()
ExtendedMarkingEquationSolver.get_firing_sequence()
build()
get_h_value()
Submodules#
pm4py.algo.analysis.extended_marking_equation.algorithm module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
- class pm4py.algo.analysis.extended_marking_equation.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum
- CLASSIC = <module 'pm4py.algo.analysis.extended_marking_equation.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\analysis\\extended_marking_equation\\variants\\classic.py'>#
- pm4py.algo.analysis.extended_marking_equation.algorithm.build(trace: Trace, sync_net: PetriNet, sync_im: Marking, sync_fm: Marking, variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = 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, parameters: Dict[Any, Any] | None = 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