pm4py.algo.conformance.log_skeleton package#

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/>.

Subpackages#

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(value)[source]#

Bases: Enum

An enumeration.

CLASSIC = <module 'pm4py.algo.conformance.log_skeleton.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\conformance\\log_skeleton\\variants\\classic.py'>#
pm4py.algo.conformance.log_skeleton.algorithm.apply(obj: Union[EventLog, Trace, DataFrame], model: Dict[str, Any], variant=Variants.CLASSIC, 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#

aligned_traces

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

pm4py.algo.conformance.log_skeleton.algorithm.apply_from_variants_list(var_list: List[List[str]], model: Dict[str, Any], variant=Variants.CLASSIC, 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#

conformance_dictio

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

pm4py.algo.conformance.log_skeleton.algorithm.get_diagnostics_dataframe(log: EventLog, conf_result: List[Set[Any]], variant=Variants.CLASSIC, parameters: Optional[Dict[Any, Any]] = None) 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#

diagn_dataframe

Diagnostics dataframe