pm4py.algo.transformation.log_to_target.variants.next_time module#

class pm4py.algo.transformation.log_to_target.variants.next_time.Parameters(*values)[source]#

Bases: Enum

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
ENABLE_PADDING = 'enable_padding'#
PAD_SIZE = 'pad_size'#
pm4py.algo.transformation.log_to_target.variants.next_time.apply(log: EventLog | EventStream | DataFrame, parameters: Dict[Any, Any] | None = None) → Tuple[List[List[int]], List[str]][source]#

Returns a list of lists (one for every case of the log) containing the difference between the timestamp of the current event and the timestamp of the next event of the case (an automatic padding option is also available). For the last event of the case, the difference is defaulted to 0.

Parameters:

  • log – Event log

  • parameters – Parameters of the algorithm, including: - Parameters.TIMESTAMP_KEY => the attribute of the log to be used as timestamp - Parameters.ENABLE_PADDING => enables the padding (the length of cases is normalized) - Parameters.PAD_SIZE => the size of the padding

Returns:

  • target – The aforementioned list

  • classes – Dummy list (of classes)