pm4py.algo.discovery.declare 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.declare.variants package
  • Submodules
  • pm4py.algo.discovery.declare.variants.classic module
    • Parameters
      • Parameters.ACTIVITY_KEY
      • Parameters.CASE_ID_KEY
      • Parameters.CONSIDERED_ACTIVITIES
      • Parameters.MIN_SUPPORT_RATIO
      • Parameters.MIN_CONFIDENCE_RATIO
      • Parameters.AUTO_SELECTION_MULTIPLIER
      • Parameters.ALLOWED_TEMPLATES
    • existence_template_step1()
    • exactly_one_template_step1()
    • init_template_step1()
    • responded_existence_template_step1()
    • response_template_step1()
    • precedence_template_step1()
    • altresponse_template_step1()
    • chainresponse_template_step1()
    • altprecedence_template_step1()
    • chainprecedence_template_step1()
    • absence_template()
    • exactly_one_template_step2()
    • responded_existence_template_step2()
    • response_template_step2()
    • precedence_template_step2()
    • altresponse_template_step2()
    • chainresponse_template_step2()
    • altprecedence_template_step2()
    • chainprecedence_template_step2()
    • succession_template()
    • altsuccession_template()
    • chainsuccession_template()
    • coexistence_template()
    • noncoexistence_template()
    • nonsuccession_template()
    • nonchainsuccession_template()
    • form_rules_table()
    • get_rules_from_rules_df()
    • apply()

Submodules

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

Bases: Enum

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

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

Discovers a DECLARE model from the provided event log

Parameters

log

Log object (EventLog, Pandas dataframe)

variant

Variant of the algorithm to be used, including: - Variants.CLASSIC

parameters

Variant-specific parameters

Returns

declare_model

DECLARE model (as Python dictionary), where each template is associated with its own rules

pm4py.algo.discovery.declare.templates 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