pm4py.algo.querying.llm.abstractions package

Submodules

• pm4py.algo.querying.llm.abstractions.case_to_descr module
  • Parameters
    • Parameters.INCLUDE_CASE_ATTRIBUTES
    • Parameters.INCLUDE_EVENT_ATTRIBUTES
    • Parameters.INCLUDE_TIMESTAMP
    • Parameters.INCLUDE_HEADER
    • Parameters.ACTIVITY_KEY
    • Parameters.TIMESTAMP_KEY
  • apply()
• pm4py.algo.querying.llm.abstractions.declare_to_descr module
  • Parameters
    • Parameters.INCLUDE_HEADER
  • get_model_description()
  • get_model_implementation()
  • apply()
• pm4py.algo.querying.llm.abstractions.log_to_cols_descr module
  • Parameters
    • Parameters.MAX_LEN
    • Parameters.CASE_ID_KEY
  • apply()
• pm4py.algo.querying.llm.abstractions.log_to_dfg_descr module
  • Parameters
    • Parameters.INCLUDE_FREQUENCY
    • Parameters.INCLUDE_PERFORMANCE
    • Parameters.MAX_LEN
    • Parameters.RELATIVE_FREQUENCY
    • Parameters.RESPONSE_HEADER
    • Parameters.PRIMARY_PERFORMANCE_AGGREGATION
    • Parameters.SECONDARY_PERFORMANCE_AGGREGATION
    • Parameters.ACTIVITY_KEY
    • Parameters.TIMESTAMP_KEY
    • Parameters.CASE_ID_KEY
  • abstraction_from_frequency_performance_dfg()
  • apply()
• pm4py.algo.querying.llm.abstractions.log_to_fea_descr module
  • Parameters
    • Parameters.INCLUDE_HEADER
    • Parameters.MAX_LEN
  • textual_abstraction_from_fea_df()
  • dct_abstraction_from_fea_df()
  • apply()
• pm4py.algo.querying.llm.abstractions.log_to_variants_descr module
  • Parameters
    • Parameters.INCLUDE_FREQUENCY
    • Parameters.INCLUDE_PERFORMANCE
    • Parameters.MAX_LEN
    • Parameters.RELATIVE_FREQUENCY
    • Parameters.RESPONSE_HEADER
    • Parameters.PRIMARY_PERFORMANCE_AGGREGATION
    • Parameters.SECONDARY_PERFORMANCE_AGGREGATION
    • Parameters.ACTIVITY_KEY
    • Parameters.TIMESTAMP_KEY
    • Parameters.CASE_ID_KEY
  • abstraction_from_variants_freq_perf_list()
  • compute_perf_aggregation()
  • apply()
• pm4py.algo.querying.llm.abstractions.logske_to_descr module
  • Parameters
    • Parameters.INCLUDE_HEADER
  • get_model_description()
  • get_model_implementation()
  • apply()
• pm4py.algo.querying.llm.abstractions.net_to_descr module
  • Parameters
    • Parameters.RESPONSE_HEADER
  • apply()
• pm4py.algo.querying.llm.abstractions.ocel_fea_descr module
  • Parameters
    • Parameters.INCLUDE_HEADER
    • Parameters.MAX_LEN
    • Parameters.DEBUG
    • Parameters.ENABLE_OBJECT_LIFECYCLE_PATHS
  • textual_abstraction_from_fea_df()
  • apply()
• pm4py.algo.querying.llm.abstractions.ocel_ocdfg_descr module
  • Parameters
    • Parameters.MAX_LEN
    • Parameters.INCLUDE_HEADER
    • Parameters.INCLUDE_PERFORMANCE
  • apply()
• pm4py.algo.querying.llm.abstractions.stream_to_descr module
  • Parameters
    • Parameters.RESPONSE_HEADER
    • Parameters.TIMESTAMP_KEY
    • Parameters.MAX_LEN
  • apply()
• pm4py.algo.querying.llm.abstractions.tempprofile_to_descr module
  • Parameters
    • Parameters.INCLUDE_HEADER
  • get_model_description()
  • get_model_implementation()
  • apply()

Module contents

PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH

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