pm4py.algo.conformance.footprints.variants package

Submodules

pm4py.algo.conformance.footprints.variants.log_extensive 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.footprints.variants.log_extensive.ConfOutputs

Bases: enum.Enum

An enumeration.

END_ACTIVITIES = 'end_activities'

FOOTPRINTS = 'footprints'

IS_FOOTPRINTS_FIT = 'is_footprints_fit'

MIN_LENGTH_FIT = 'min_length_fit'

START_ACTIVITIES = 'start_activities'

class pm4py.algo.conformance.footprints.variants.log_extensive.Outputs

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'

ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'

DFG = 'dfg'

END_ACTIVITIES = 'end_activities'

MIN_TRACE_LENGTH = 'min_trace_length'

PARALLEL = 'parallel'

SEQUENCE = 'sequence'

SKIPPABLE = 'skippable'

START_ACTIVITIES = 'start_activities'

TRACE = 'trace'

pm4py.algo.conformance.footprints.variants.log_extensive.apply(log_footprints: Dict[str, Any], model_footprints: Dict[str, Any], parameters: Optional[Dict[Any, Any]] = None) → Dict[str, Any]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters:

• log_footprints – Footprints of the log (entire log)
• model_footprints – Footprints of the model
• parameters – Parameters of the algorithm

Returns:

Dictionary containing all the violations

Return type:

violations

pm4py.algo.conformance.footprints.variants.log_model 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.footprints.variants.log_model.Outputs

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'

ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'

DFG = 'dfg'

END_ACTIVITIES = 'end_activities'

MIN_TRACE_LENGTH = 'min_trace_length'

PARALLEL = 'parallel'

SEQUENCE = 'sequence'

SKIPPABLE = 'skippable'

START_ACTIVITIES = 'start_activities'

TRACE = 'trace'

class pm4py.algo.conformance.footprints.variants.log_model.Parameters

Bases: enum.Enum

An enumeration.

CASE_ID_KEY = 'pm4py:param:case_id_key'

STRICT = 'strict'

pm4py.algo.conformance.footprints.variants.log_model.apply(log_footprints: Union[Dict[str, Any], List[Dict[str, Any]]], model_footprints: Dict[str, Any], parameters: Optional[Dict[Union[str, pm4py.algo.conformance.footprints.variants.log_model.Parameters], Any]] = None) → Union[List[Dict[str, Any]], Dict[str, Any]]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters:

• log_footprints – Footprints of the log

• model_footprints – Footprints of the model

• parameters –

  Parameters of the algorithm, including:

  • Parameters.STRICT => strict check of the footprints

Returns:

Set of all the violations between the log footprints and the model footprints, OR list of case-per-case violations

Return type:

violations

pm4py.algo.conformance.footprints.variants.log_model.apply_single(log_footprints: Dict[str, Any], model_footprints: Dict[str, Any], parameters: Optional[Dict[Union[str, pm4py.algo.conformance.footprints.variants.log_model.Parameters], Any]] = None) → Dict[str, Any]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters:

• log_footprints – Footprints of the log (NOT a list, but a single footprints object)

• model_footprints – Footprints of the model

• parameters –

  Parameters of the algorithm, including:

  • Parameters.STRICT => strict check of the footprints

Returns:

Set of all the violations between the log footprints and the model footprints

Return type:

violations

pm4py.algo.conformance.footprints.variants.log_model.get_diagnostics_dataframe(log: pm4py.objects.log.obj.EventLog, conf_result: Union[List[Dict[str, Any]], Dict[str, Any]], parameters: Optional[Dict[Union[str, pm4py.algo.conformance.footprints.variants.log_model.Parameters], Any]] = None) → pandas.core.frame.DataFrame

Gets the diagnostics dataframe from the log and the results of footprints conformance checking (trace-by-trace)

Parameters:

• log – Event log
• conf_result – Conformance checking results (trace-by-trace)

Returns:

Diagnostics dataframe

Return type:

diagn_dataframe

pm4py.algo.conformance.footprints.variants.trace_extensive 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.footprints.variants.trace_extensive.ConfOutputs

Bases: enum.Enum

An enumeration.

ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'

END_ACTIVITIES = 'end_activities'

FOOTPRINTS = 'footprints'

IS_FOOTPRINTS_FIT = 'is_footprints_fit'

MIN_LENGTH_FIT = 'min_length_fit'

START_ACTIVITIES = 'start_activities'

class pm4py.algo.conformance.footprints.variants.trace_extensive.Outputs

Bases: enum.Enum

An enumeration.

ACTIVITIES = 'activities'

ACTIVITIES_ALWAYS_HAPPENING = 'activities_always_happening'

DFG = 'dfg'

END_ACTIVITIES = 'end_activities'

MIN_TRACE_LENGTH = 'min_trace_length'

PARALLEL = 'parallel'

SEQUENCE = 'sequence'

SKIPPABLE = 'skippable'

START_ACTIVITIES = 'start_activities'

TRACE = 'trace'

class pm4py.algo.conformance.footprints.variants.trace_extensive.Parameters

Bases: enum.Enum

An enumeration.

CASE_ID_KEY = 'pm4py:param:case_id_key'

ENABLE_ACT_ALWAYS_EXECUTED = 'enable_act_always_executed'

pm4py.algo.conformance.footprints.variants.trace_extensive.apply(log_footprints: List[Dict[str, Any]], model_footprints: Dict[str, Any], parameters: Optional[Dict[Union[str, pm4py.algo.conformance.footprints.variants.trace_extensive.Parameters], Any]] = None) → List[Dict[str, Any]]

Apply footprints conformance between a log footprints object and a model footprints object

Parameters:

• log_footprints – Footprints of the log (trace-by-trace)
• model_footprints – Footprints of the model
• parameters – Parameters of the algorithm

Returns:

List containing, for each trace, a dictionary containing the violations

Return type:

violations

pm4py.algo.conformance.footprints.variants.trace_extensive.get_diagnostics_dataframe(log: pm4py.objects.log.obj.EventLog, conf_result: List[Dict[str, Any]], parameters: Optional[Dict[Union[str, pm4py.algo.conformance.footprints.variants.trace_extensive.Parameters], Any]] = None) → pandas.core.frame.DataFrame

Gets the diagnostics dataframe from the log and the results of footprints conformance checking (trace-by-trace)

Parameters:

• log – Event log
• conf_result – Conformance checking results (trace-by-trace)

Returns:

Diagnostics dataframe

Return type:

diagn_dataframe

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/>.