pm4py.conformance.precision_footprints

pm4py.conformance.precision_footprints(*args) → float

Calculate precision using footprints.

Parameters:

args – Arguments where the first is an event log (or its footprints) and the others represent the process model (or its footprints).

Returns:

The precision value based on footprints.

Return type:

float

Example:

```python import pm4py

net, im, fm = pm4py.discover_petri_net_inductive(

dataframe, activity_key=’concept:name’, case_id_key=’case:concept:name’, timestamp_key=’time:timestamp’

) precision_fp = pm4py.precision_footprints(

dataframe, net, im, fm, activity_key=’concept:name’, case_id_key=’case:concept:name’, timestamp_key=’time:timestamp’

Deprecated since version 2.3.0: This will be removed in 3.0.0. Conformance checking using footprints will not be exposed in a future release.