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process_mining::discovery::case_centric::alphappp::full

Related Examples(1)

PythonRustRoad Traffic Fines

From event log to conformance

Load a real event log, look at its variants, discover a Petri net with Alpha+++, measure its fitness with alignments and find the activities the model misses.

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Functions in this Module(1)

discover_alpha+++

discovery::case_centric::alphappp::fullSource
Discover a PetriNet using the Alpha+++ Process Discovery algorithm
ExampleFrom event log to conformance
EventLogActivityProjectionrequired
AlphaPPPConfigAlgorithm parameters for Alpha+++
import r4pm

# Also: .json, .xes.gz
log_proj = r4pm.import_item('EventLogActivityProjection', 'log.xes')
# Optional argument: config, can also be omitted
config = {
    "absolute_df_clean_thresh": 1,
    "balance_thresh": 0.2,
    "fitness_thresh": 0.2,
    "log_repair_loop_df_thresh_rel": 0.2,
    "log_repair_skip_df_thresh_rel": 0.2,
    "relative_df_clean_thresh": 0.2,
    "replay_thresh": 0.2,
}
res = r4pm.bindings.discover_alphaplusplusplus(log_proj, config)

process_mining/src/discovery/case_centric/alphappp/full.rs:109