pm4py.algo.discovery.temporal_profile.algorithm module#
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- pm4py.algo.discovery.temporal_profile.algorithm.apply(elog: EventLog | DataFrame, parameters: Dict[Any, Any] | None = None) Dict[Tuple[str, str], Tuple[float, float]][source]#
Discovers the temporal profile out of the provided log object.
Implements the approach described in: Stertz, Florian, Jürgen Mangler, and Stefanie Rinderle-Ma. “Temporal Conformance Checking at Runtime based on Time-infused Process Models.” arXiv preprint arXiv:2008.07262 (2020).
- Parameters:
elog – Event log
parameters – Parameters, including: - Parameters.ACTIVITY_KEY => the attribute to use as activity - Parameters.START_TIMESTAMP_KEY => the attribute to use as start timestamp - Parameters.TIMESTAMP_KEY => the attribute to use as timestamp
- Returns:
Temporal profile of the log
- Return type:
temporal_profile
