pm4py.algo.evaluation package

Subpackages

• pm4py.algo.evaluation.earth_mover_distance package
  • Subpackages
    • pm4py.algo.evaluation.earth_mover_distance.variants package
      • Submodules
      • pm4py.algo.evaluation.earth_mover_distance.variants.pyemd module
      • Module contents
  • Submodules
  • pm4py.algo.evaluation.earth_mover_distance.algorithm module
  • pm4py.algo.evaluation.earth_mover_distance.evaluator module
  • Module contents
• pm4py.algo.evaluation.generalization package
  • Subpackages
    • pm4py.algo.evaluation.generalization.variants package
      • Submodules
      • pm4py.algo.evaluation.generalization.variants.token_based module
      • Module contents
  • Submodules
  • pm4py.algo.evaluation.generalization.algorithm module
  • pm4py.algo.evaluation.generalization.evaluator module
  • pm4py.algo.evaluation.generalization.parameters module
  • Module contents
• pm4py.algo.evaluation.precision package
  • Subpackages
    • pm4py.algo.evaluation.precision.dfg package
      • Submodules
      • pm4py.algo.evaluation.precision.dfg.algorithm module
      • Module contents
    • pm4py.algo.evaluation.precision.variants package
      • Submodules
      • pm4py.algo.evaluation.precision.variants.align_etconformance module
      • pm4py.algo.evaluation.precision.variants.etconformance_token module
      • Module contents
  • Submodules
  • pm4py.algo.evaluation.precision.algorithm module
  • pm4py.algo.evaluation.precision.evaluator module
  • pm4py.algo.evaluation.precision.parameters module
  • pm4py.algo.evaluation.precision.utils module
  • Module contents
• pm4py.algo.evaluation.replay_fitness package
  • Subpackages
    • pm4py.algo.evaluation.replay_fitness.variants package
      • Submodules
      • pm4py.algo.evaluation.replay_fitness.variants.alignment_based module
      • pm4py.algo.evaluation.replay_fitness.variants.token_replay module
      • Module contents
  • Submodules
  • pm4py.algo.evaluation.replay_fitness.algorithm module
  • pm4py.algo.evaluation.replay_fitness.evaluator module
  • pm4py.algo.evaluation.replay_fitness.parameters module
  • Module contents
• pm4py.algo.evaluation.simplicity package
  • Subpackages
    • pm4py.algo.evaluation.simplicity.variants package
      • Submodules
      • pm4py.algo.evaluation.simplicity.variants.arc_degree module
      • Module contents
  • Submodules
  • pm4py.algo.evaluation.simplicity.algorithm module
  • pm4py.algo.evaluation.simplicity.evaluator module
  • Module contents

Submodules

pm4py.algo.evaluation.algorithm module

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.evaluation.algorithm.Parameters

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'

PARAM_FITNESS_WEIGHT = 'fitness_weight'

PARAM_GENERALIZATION_WEIGHT = 'generalization_weight'

PARAM_PRECISION_WEIGHT = 'precision_weight'

PARAM_SIMPLICITY_WEIGHT = 'simplicity_weight'

pm4py.algo.evaluation.algorithm.apply(log: Union[pm4py.objects.log.obj.EventLog, pandas.core.frame.DataFrame], net: pm4py.objects.petri_net.obj.PetriNet, initial_marking: pm4py.objects.petri_net.obj.Marking, final_marking: pm4py.objects.petri_net.obj.Marking, parameters: Optional[Dict[Union[str, pm4py.algo.evaluation.algorithm.Parameters], Any]] = None) → Dict[str, float]

Calculates all metrics based on token-based replay and returns a unified dictionary

Parameters:

• log – Log
• net – Petri net
• initial_marking – Initial marking
• final_marking – Final marking
• parameters – Parameters

Returns:

Dictionary containing fitness, precision, generalization and simplicity; along with the average weight of these metrics

Return type:

dictionary

pm4py.algo.evaluation.evaluator module

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

Module contents

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py 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 General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.