pm4py.ml

The pm4py.ml module contains the machine learning features offered in pm4py.

Functions

extract_features_dataframe(log[, ...])	Extracts a dataframe containing features for each case in the provided log object.
extract_ocel_features(ocel, obj_type[, ...])	Extracts a set of features from an object-centric event log (OCEL) for objects of a specified type.
extract_outcome_enriched_dataframe(log[, ...])	Enriches a dataframe with additional outcome-related columns computed from the entire case.
extract_target_vector(log, variant[, ...])	Extracts the target vector from a log object for a specific machine learning use case.
extract_temporal_features_dataframe(log[, ...])	Extracts temporal features from a log object and returns them as a dataframe.
get_prefixes_from_log(log, length[, case_id_key])	Retrieves prefixes of traces in a log up to a specified length.
split_train_test(log[, train_percentage, ...])	Splits an event log into a training log and a test log for machine learning purposes.