Description Usage Arguments Value Examples
PM4PY discovery algorithms that discover a Petri net and its initial and final marking. Currently the Inductive Miner and the Alpha Miner are implemented.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | discovery_inductive(
eventlog,
parameters = default_parameters(eventlog),
variant = variant_inductive_imdfb(),
convert = TRUE
)
variant_inductive_imdfb()
variant_inductive_only_dfg()
discovery_alpha(
eventlog,
parameters = default_parameters(eventlog),
variant = variant_alpha_classic(),
convert = TRUE
)
variant_alpha_classic()
variant_alpha_plus()
|
eventlog |
A bupaR event log or an R data frame. |
parameters |
A named list of PM4PY parameters (see parameters) as required by the discovery method.
By default, if the |
variant |
The variant of the discovery algorithm to be used.
For Inductive Miner currently only |
convert |
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. |
A named list with elements petrinet
, initial_marking
, and final_marking
or the original Python object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | if (pm4py_available()) {
library(eventdataR)
data(patients)
# As Inductive Miner of PM4PY is not life-cycle aware, keep only `complete` events:
patients_completes <- patients[patients$registration_type == "complete", ]
net <- discovery_inductive(patients_completes)
# Show details of the obtained bupaR Petri net
print(net$petrinet)
# initial marking is a character vector
print(net$initial_marking)
# final marking is a character vector
print(net$final_marking)
# Petri net can be used with other bupaR functions
petrinetR::render_PN(net$petrinet)
# Keep an unconverted PM4PY Petri net for use in other PM4PY functions
py_net <- discovery_inductive(patients_completes, convert = FALSE)
}
|
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