pm4py.stats.get_stochastic_language#

pm4py.stats.get_stochastic_language(*args, **kwargs) → Dict[List[str], float][source]#

Retrieves the stochastic language from the provided object.

The stochastic language represents the probabilities of different traces or sequences within the process.

Parameters:

args – The input object, which can be a pandas DataFrame, EventLog, accepting Petri net, or ProcessTree.
kwargs – Additional keyword arguments.

Returns:

A dictionary mapping sequences of activities to their probabilities.

import pm4py

# From an event log
log = pm4py.read_xes('tests/input_data/running-example.xes')
language_log = pm4py.get_stochastic_language(log)
print(language_log)

# From a Petri net
net, im, fm = pm4py.read_pnml('tests/input_data/running-example.pnml')
language_model = pm4py.get_stochastic_language(net, im, fm)
print(language_model)