fitness_token_based_replay: Measure Token-Based Replay Fitness

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

Measure Token-Based Replay Fitness

Description

Measure Token-Based Replay Fitness

Usage

fitness_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

List with fitness measures.

Examples

## Not run: 
library(pm4py)
library(eventdataR)

model <- discover_alpha(patients)
fitness_token_based_replay(patients, model)


## End(Not run)

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