pm4py.algo.discovery.log_skeleton package

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Subpackages

• pm4py.algo.discovery.log_skeleton.variants package
  • Submodules
  • pm4py.algo.discovery.log_skeleton.variants.classic module
    • Parameters
      • Parameters.NOISE_THRESHOLD
      • Parameters.CONSIDERED_CONSTRAINTS
      • Parameters.DEFAULT_CONSIDERED_CONSTRAINTS
      • Parameters.CASE_ID_KEY
      • Parameters.ACTIVITY_KEY
      • Parameters.PARAMETER_VARIANT_DELIMITER
    • Outputs
      • Outputs.EQUIVALENCE
      • Outputs.ALWAYS_AFTER
      • Outputs.ALWAYS_BEFORE
      • Outputs.NEVER_TOGETHER
      • Outputs.DIRECTLY_FOLLOWS
      • Outputs.ACTIV_FREQ
    • equivalence()
    • always_after()
    • always_before()
    • never_together()
    • directly_follows()
    • activ_freq()
    • apply()
    • apply_from_variants_list()
    • prepare_encode()

Submodules

pm4py.algo.discovery.log_skeleton.algorithm module

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.algo.discovery.log_skeleton.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

CLASSIC = <module 'pm4py.algo.discovery.log_skeleton.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\discovery\\log_skeleton\\variants\\classic.py'>

pm4py.algo.discovery.log_skeleton.algorithm.apply(log: EventLog | EventStream | DataFrame, variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → Dict[str, Any]

Discover a log skeleton from an event log

Parameters

log

Event log

variant

Variant of the algorithm, possible values: - Variants.CLASSIC

parameters

Parameters of the algorithm, including:

• the activity key (Parameters.ACTIVITY_KEY)

• the noise threshold (Parameters.NOISE_THRESHOLD)

Returns

model

Log skeleton model

pm4py.algo.discovery.log_skeleton.algorithm.apply_from_variants_list(var_list: List[Tuple[str, int]], variant=Variants.CLASSIC, parameters: Dict[Any, Any] | None = None) → Dict[str, Any]

Discovers the log skeleton from the variants list

Parameters

var_list

Variants list

variant

Variant of the algorithm, possible values: - Variants.CLASSIC

parameters

Parameters

Returns

model

Log skeleton model

pm4py.algo.discovery.log_skeleton.trace_skel module

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

pm4py.algo.discovery.log_skeleton.trace_skel.equivalence(trace)

Get the equivalence relations given a list of activities

Parameters

trace

List activities

Returns

rel

Relations inside the trace

pm4py.algo.discovery.log_skeleton.trace_skel.after(trace)

Get the after- relations given a list of activities

Parameters

trace

List activities

Returns

rel

After- inside the trace

pm4py.algo.discovery.log_skeleton.trace_skel.before(trace)

Get the before- relations given a list of activities

Parameters

trace

List activities

Returns

rel

Before- inside the trace

pm4py.algo.discovery.log_skeleton.trace_skel.combos(trace)

Get the combinations between all the activities of the trace relations given a list of activities

Parameters

trace

List activities

Returns

rel

Combos inside the trace

pm4py.algo.discovery.log_skeleton.trace_skel.directly_follows(trace)

Get the directly-follows relations given a list of activities

Parameters

trace

List activities

Returns

rel

Directly-follows relations inside the trace

pm4py.algo.discovery.log_skeleton.trace_skel.activ_freq(trace)

Gets the frequency of activities happening in a trace

Parameters

trace

List activities

Returns

freq

Frequency of activities

pm4py.algo.discovery.log_skeleton.trace_skel.get_trace_info(trace)

Technical method for conformance checking