pm4py.algo.discovery.performance_spectrum.variants package#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
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.performance_spectrum.variants.dataframe module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
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
- class pm4py.algo.discovery.performance_spectrum.variants.dataframe.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
- PARAMETER_SAMPLE_SIZE = 'sample_size'#
- SORT_LOG_REQUIRED = 'sort_log_required'#
- pm4py.algo.discovery.performance_spectrum.variants.dataframe.apply(dataframe: DataFrame, list_activities: List[str], sample_size: int, parameters: Dict[str | Parameters, Any] | None = None) Dict[str, Any][source]#
Finds the performance spectrum provided a dataframe and a list of activities
Parameters#
- dataframe
Dataframe
- list_activities
List of activities interesting for the performance spectrum (at least two)
- sample_size
Size of the sample
- parameters
- Parameters of the algorithm, including:
Parameters.ACTIVITY_KEY
Parameters.TIMESTAMP_KEY
Parameters.CASE_ID_KEY
Returns#
- points
Points of the performance spectrum
pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
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
- class pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- PARAMETER_SAMPLE_SIZE = 'sample_size'#
- SORT_LOG_REQUIRED = 'sort_log_required'#
- pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.gen_patterns(pattern, length)[source]#
- pm4py.algo.discovery.performance_spectrum.variants.dataframe_disconnected.apply(dataframe: DataFrame, list_activities: List[str], sample_size: int, parameters: Dict[str | Parameters, Any] | None = None) Dict[str, Any][source]#
Finds the disconnected performance spectrum provided a dataframe and a list of activities
Parameters#
- dataframe
Dataframe
- list_activities
List of activities interesting for the performance spectrum (at least two)
- sample_size
Size of the sample
- parameters
- Parameters of the algorithm, including:
Parameters.ACTIVITY_KEY
Parameters.TIMESTAMP_KEY
Parameters.CASE_ID_KEY
Returns#
- points
Points of the performance spectrum
pm4py.algo.discovery.performance_spectrum.variants.log module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
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
- class pm4py.algo.discovery.performance_spectrum.variants.log.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
- PARAMETER_SAMPLE_SIZE = 'sample_size'#
- SORT_LOG_REQUIRED = 'sort_log_required'#
- pm4py.algo.discovery.performance_spectrum.variants.log.apply(log: EventLog, list_activities: List[str], sample_size: int, parameters: Dict[str | Parameters, Any] | None = None) Dict[str, Any][source]#
Finds the performance spectrum provided a log and a list of activities
Parameters#
- log
Log
- list_activities
List of activities interesting for the performance spectrum (at least two)
- sample_size
Size of the sample
- parameters
- Parameters of the algorithm, including:
Parameters.ACTIVITY_KEY
Parameters.TIMESTAMP_KEY
Returns#
- points
Points of the performance spectrum
pm4py.algo.discovery.performance_spectrum.variants.log_disconnected module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
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
- class pm4py.algo.discovery.performance_spectrum.variants.log_disconnected.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
- CASE_ID_KEY = 'pm4py:param:case_id_key'#
- ATTRIBUTE_KEY = 'pm4py:param:attribute_key'#
- PARAMETER_SAMPLE_SIZE = 'sample_size'#
- SORT_LOG_REQUIRED = 'sort_log_required'#
- pm4py.algo.discovery.performance_spectrum.variants.log_disconnected.apply(log: EventLog, list_activities: List[str], sample_size: int, parameters: Dict[str | Parameters, Any] | None = None) Dict[str, Any][source]#
Finds the disconnected performance spectrum provided a log and a list of activities
Parameters#
- log
Log
- list_activities
List of activities interesting for the performance spectrum (at least two)
- sample_size
Size of the sample
- parameters
- Parameters of the algorithm, including:
Parameters.ACTIVITY_KEY
Parameters.TIMESTAMP_KEY
Returns#
- points
Points of the performance spectrum