pm4py.algo.discovery.powl.inductive.fall_through package#

PM4Py â€“ A Process Mining Library for Python

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

Submodules#

pm4py.algo.discovery.powl.inductive.fall_through.activity_concurrent module#

PM4Py – A Process Mining Library for Python

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.discovery.powl.inductive.fall_through.activity_concurrent.POWLActivityConcurrentUVCL[source]#

Bases: ActivityConcurrentUVCL

classmethod apply(obj: IMDataStructureUVCL, pool: Pool = None, manager: Manager = None, parameters: Dict[str, Any] | None = None) → Tuple[StrictPartialOrder, List[IMDataStructureUVCL]] | None[source]#

pm4py.algo.discovery.powl.inductive.fall_through.activity_once_per_trace module#

PM4Py – A Process Mining Library for Python

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.discovery.powl.inductive.fall_through.activity_once_per_trace.POWLActivityOncePerTraceUVCL[source]#

Bases: ActivityOncePerTraceUVCL, POWLActivityConcurrentUVCL

classmethod apply(obj: IMDataStructureUVCL, pool=None, manager=None, parameters: Dict[str, Any] | None = None) → Tuple[StrictPartialOrder, List[IMDataStructureUVCL]] | None[source]#

pm4py.algo.discovery.powl.inductive.fall_through.empty_traces module#

PM4Py – A Process Mining Library for Python

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.discovery.powl.inductive.fall_through.empty_traces.POWLEmptyTracesUVCL[source]#

Bases: EmptyTracesUVCL

classmethod apply(obj: IMDataStructureUVCL, pool: Pool = None, manager: Manager = None, parameters: Dict[str, Any] | None = None) → Tuple[OperatorPOWL, List[IMDataStructureUVCL]] | None[source]#

pm4py.algo.discovery.powl.inductive.fall_through.factory module#

PM4Py – A Process Mining Library for Python

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.discovery.powl.inductive.fall_through.factory.FallThroughFactory[source]#

Bases: object

classmethod get_fall_throughs(obj: T, parameters: Dict[str, Any] | None = None) → List[Type[S]][source]#

classmethod fall_through(obj: T, pool: Pool, manager: Manager, parameters: Dict[str, Any] | None = None) → Tuple[POWL, List[T]] | None[source]#

pm4py.algo.discovery.powl.inductive.fall_through.flower module#

PM4Py – A Process Mining Library for Python

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.discovery.powl.inductive.fall_through.flower.POWLFlowerModelUVCL[source]#

Bases: FlowerModelUVCL

classmethod apply(obj: IMDataStructureUVCL, pool: Pool = None, manager: Manager = None, parameters: Dict[str, Any] | None = None) → Tuple[OperatorPOWL, List[IMDataStructureUVCL]] | None[source]#

pm4py.algo.discovery.powl.inductive.fall_through.strict_tau_loop module#

PM4Py – A Process Mining Library for Python

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.discovery.powl.inductive.fall_through.strict_tau_loop.POWLStrictTauLoopUVCL[source]#

Bases: StrictTauLoopUVCL

classmethod apply(obj: IMDataStructureUVCL, pool: Pool = None, manager: Manager = None, parameters: Dict[str, Any] | None = None) → Tuple[OperatorPOWL, List[IMDataStructureUVCL]] | None[source]#

pm4py.algo.discovery.powl.inductive.fall_through.tau_loop module#

PM4Py – A Process Mining Library for Python

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.discovery.powl.inductive.fall_through.tau_loop.POWLTauLoopUVCL[source]#: Bases: POWLStrictTauLoopUVCL, TauLoopUVCL