discover_inductive_bpmn: Discover BPMN models using Inductive Miner

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

Discover BPMN models using Inductive Miner

Description

Discover BPMN models using Inductive Miner

Usage

discover_inductive_bpmn(
  log,
  multi_processing = FALSE,
  noise_threshold = 0,
  convert = TRUE
)

Arguments

log	log: Object of class log or derivatives (grouped_log, eventlog,
multi_processing	logical (default FALSE): Disables if FALSE, enables if TRUE multiprocessing in inductive miner.
noise_threshold	numeric (default: 0): noise threshold. For Inductive Miner currently only variant_inductive_imdfb is supported.
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

A BPMN object as defined by BPMNR

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