pm4py.algo.evaluation.precision 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

Subpackages#

Submodules#

pm4py.algo.evaluation.precision.algorithm 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.evaluation.precision.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

ETCONFORMANCE_TOKEN = <module 'pm4py.algo.evaluation.precision.variants.etconformance_token' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\evaluation\\precision\\variants\\etconformance_token.py'>#

ALIGN_ETCONFORMANCE = <module 'pm4py.algo.evaluation.precision.variants.align_etconformance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\evaluation\\precision\\variants\\align_etconformance.py'>#

pm4py.algo.evaluation.precision.algorithm.apply(log: EventLog | EventStream | DataFrame, net: PetriNet, marking: Marking, final_marking: Marking, parameters: Dict[Any, Any] | None = None, variant=None) → float[source]#

Method to apply ET Conformance

Parameters#

log

Trace log

net

Petri net

marking

Initial marking

final_marking

Final marking

parameters

Parameters of the algorithm, including:: pm4py.util.constants.PARAMETER_CONSTANT_ACTIVITY_KEY -> Activity key

variant

Variant of the algorithm that should be applied:

Variants.ETCONFORMANCE_TOKEN
Variants.ALIGN_ETCONFORMANCE

pm4py.algo.evaluation.precision.utils 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

pm4py.algo.evaluation.precision.utils.get_log_prefixes(log, activity_key='concept:name', case_id_key='case:concept:name')[source]#

Get log prefixes

Parameters#

log: Trace log
activity_key: Activity key (must be provided if different from concept:name)

pm4py.algo.evaluation.precision.utils.form_fake_log(prefixes_keys, activity_key='concept:name')[source]#

Form fake log for replay (putting each prefix as separate trace to align)

Parameters#

prefixes_keys: Keys of the prefixes (to form a log with a given order)
activity_key: Activity key (must be provided if different from concept:name)