pm4py.algo.conformance.log_skeleton package

Submodules

pm4py.algo.conformance.log_skeleton.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.conformance.log_skeleton.algorithm.Variants[source]

Bases: enum.Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.conformance.log_skeleton.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/latest/pm4py/algo/conformance/log_skeleton/variants/classic.py'>
pm4py.algo.conformance.log_skeleton.algorithm.apply(obj: Union[pm4py.objects.log.obj.EventLog, pm4py.objects.log.obj.Trace, pandas.core.frame.DataFrame], model: Dict[str, Any], variant=<Variants.CLASSIC: <module 'pm4py.algo.conformance.log_skeleton.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/latest/pm4py/algo/conformance/log_skeleton/variants/classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → List[Set[Any]][source]

Apply log-skeleton based conformance checking given an event log/trace and a log-skeleton model

Parameters:
  • obj – Object (event log/trace)
  • model – Log-skeleton model
  • variant – Variant of the algorithm, possible values: Variants.CLASSIC
  • parameters – Parameters of the algorithm, including: - Parameters.ACTIVITY_KEY - Parameters.CONSIDERED_CONSTRAINTS, among: equivalence, always_after, always_before, never_together, directly_follows, activ_freq
Returns:

Conformance checking results for each trace: - Outputs.IS_FIT => boolean that tells if the trace is perfectly fit according to the model - Outputs.DEV_FITNESS => deviation based fitness (between 0 and 1; the more the trace is near to 1 the more fit is) - Outputs.DEVIATIONS => list of deviations in the model
Return type:

aligned_traces
pm4py.algo.conformance.log_skeleton.algorithm.apply_from_variants_list(var_list: List[List[str]], model: Dict[str, Any], variant=<Variants.CLASSIC: <module 'pm4py.algo.conformance.log_skeleton.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/latest/pm4py/algo/conformance/log_skeleton/variants/classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → List[Set[Any]][source]

Performs conformance checking using the log skeleton, applying it from a list of variants

Parameters:
  • var_list – List of variants
  • model – Log skeleton model
  • variant – Variant of the algorithm, possible values: Variants.CLASSIC
  • parameters – Parameters
Returns:

Dictionary containing, for each variant, the result of log skeleton checking
Return type:

conformance_dictio
pm4py.algo.conformance.log_skeleton.algorithm.get_diagnostics_dataframe(log: pm4py.objects.log.obj.EventLog, conf_result: List[Set[Any]], variant=<Variants.CLASSIC: <module 'pm4py.algo.conformance.log_skeleton.variants.classic' from '/home/docs/checkouts/readthedocs.org/user_builds/pm4py-source/checkouts/latest/pm4py/algo/conformance/log_skeleton/variants/classic.py'>>, parameters: Optional[Dict[Any, Any]] = None) → pandas.core.frame.DataFrame[source]

Gets the diagnostics dataframe from a log and the results of log skeleton-based conformance checking

Parameters:
  • log – Event log
  • conf_result – Results of conformance checking
Returns:

Diagnostics dataframe
Return type:

diagn_dataframe

pm4py.algo.conformance.log_skeleton.outputs 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.conformance.log_skeleton.outputs.Outputs[source]

Bases: enum.Enum

An enumeration.

DEVIATIONS = 'deviations'
DEV_FITNESS = 'dev_fitness'
IS_FIT = 'is_fit'
NO_CONSTR_TOTAL = 'no_constr_total'
NO_DEV_TOTAL = 'no_dev_total'

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/>.