pm4py.algo.discovery.inductive.base_case package#

PM4Py – 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.inductive.base_case.abc 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.inductive.base_case.abc.BaseCase[source]#

Bases: ABC, Generic[T]

classmethod apply(obj=~T, parameters: Dict[str, Any] | None = None) → ProcessTree | None[source]#

abstract classmethod holds(obj=~T, parameters: Dict[str, Any] | None = None) → bool[source]#

abstract classmethod leaf(obj=~T, parameters: Dict[str, Any] | None = None) → ProcessTree[source]#

pm4py.algo.discovery.inductive.base_case.empty_log 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.inductive.base_case.empty_log.EmptyLogBaseCase[source]#

Bases: BaseCase[T], ABC, Generic[T]

classmethod leaf(obj=~T, parameters: Dict[str, Any] | None = None) → ProcessTree[source]#

class pm4py.algo.discovery.inductive.base_case.empty_log.EmptyLogBaseCaseUVCL[source]#

Bases: EmptyLogBaseCase[IMDataStructureUVCL]

classmethod holds(obj=<class 'pm4py.algo.discovery.inductive.dtypes.im_ds.IMDataStructureUVCL'>, parameters: ~typing.Dict[str, ~typing.Any] | None = None) → bool[source]#

class pm4py.algo.discovery.inductive.base_case.empty_log.EmptyLogBaseCaseDFG[source]#

Bases: EmptyLogBaseCase[IMDataStructureDFG]

classmethod holds(obj=<class 'pm4py.algo.discovery.inductive.dtypes.im_ds.IMDataStructureDFG'>, parameters: ~typing.Dict[str, ~typing.Any] | None = None)[source]#

pm4py.algo.discovery.inductive.base_case.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.inductive.base_case.factory.BaseCaseFactory[source]#

Bases: object

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

classmethod apply_base_cases(obj: T, inst: IMInstance, parameters: Dict[str, Any] | None = None) → ProcessTree | None[source]#

pm4py.algo.discovery.inductive.base_case.single_activity 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.inductive.base_case.single_activity.SingleActivityBaseCaseUVCL[source]#

Bases: BaseCase[IMDataStructureUVCL]

classmethod holds(obj=<class 'pm4py.algo.discovery.inductive.dtypes.im_ds.IMDataStructureUVCL'>, parameters: ~typing.Dict[str, ~typing.Any] | None = None) → bool[source]#

classmethod leaf(obj=<class 'pm4py.algo.discovery.inductive.dtypes.im_ds.IMDataStructureUVCL'>, parameters: ~typing.Dict[str, ~typing.Any] | None = None) → ProcessTree[source]#

class pm4py.algo.discovery.inductive.base_case.single_activity.SingleActivityBaseCaseDFG[source]#

Bases: BaseCase[IMDataStructureDFG]

classmethod holds(obj=<class 'pm4py.algo.discovery.inductive.dtypes.im_ds.IMDataStructureDFG'>, parameters: ~typing.Dict[str, ~typing.Any] | None = None) → bool[source]#

classmethod leaf(obj=<class 'pm4py.algo.discovery.inductive.dtypes.im_ds.IMDataStructureDFG'>, parameters: ~typing.Dict[str, ~typing.Any] | None = None) → ProcessTree[source]#