pm4py.llm.abstract_temporal_profile#

pm4py.llm.abstract_temporal_profile(temporal_profile: Dict[Tuple[str, str], Tuple[float, float]], include_header: bool = True) → str[source]#

Abstracts a temporal profile model to a string.

Parameters:

  • temporal_profile – temporal profile model

  • include_header (bool) – includes an header in the response, describing the temporal profile

Return type:

str

import pm4py

log = pm4py.read_xes("tests/input_data/roadtraffic100traces.xes", return_legacy_log_object=True)
temporal_profile = pm4py.discover_temporal_profile(log)
text_abstr = pm4py.llm.abstract_temporal_profile(temporal_profile, include_header=True)
print(text_abstr)