diagnostics_token_based_replay: Apply *the token-based replay* algorithm between a log and a...

In fmannhardt/pm4py: Interface to the 'PM4py' Process Mining Library

Apply the token-based replay algorithm between a log and a process model

Description

Apply token-based replay for conformance checking analysis. The methods return the full token-based-replay diagnostics.

Usage

diagnostics_token_based_replay(log, marked_petrinet, convert = TRUE)

Arguments

log	log: Object of class log or derivatives (grouped_log, eventlog,
marked_petrinet	A Marked Petrinet as defined by petrinetR, e.g. the output of discover_inductive or discover_alpha.
convert	logical (default: TRUE): TRUE to automatically convert Python objects to their R equivalent. If you pass FALSE you can do manual conversion using the r-py-conversion function.

Value

Token-based-replay diagnostics.

fmannhardt/pm4py documentation built on July 21, 2023, 10:55 p.m.