pm4py.algo.filtering.log package

Subpackages

• pm4py.algo.filtering.log.attr_value_repetition package
  • Submodules
    • pm4py.algo.filtering.log.attr_value_repetition.filter module
      • Parameters
      • apply()
  • Module contents
• pm4py.algo.filtering.log.attributes package
  • Submodules
    • pm4py.algo.filtering.log.attributes.attributes_filter module
      • Parameters
      • apply_numeric()
      • apply_numeric_events()
      • apply_events()
      • apply()
      • apply_trace_attribute()
      • filter_log_on_max_no_activities()
      • filter_log_by_attributes_threshold()
      • filter_log_relative_occurrence_event_attribute()
  • Module contents
• pm4py.algo.filtering.log.between package
  • Submodules
    • pm4py.algo.filtering.log.between.between_filter module
      • Parameters
      • apply()
  • Module contents
• pm4py.algo.filtering.log.cases package
  • Submodules
    • pm4py.algo.filtering.log.cases.case_filter module
      • Parameters
      • filter_on_case_performance()
      • filter_on_ncases()
      • filter_on_case_size()
      • satisfy_perf()
      • filter_case_performance()
      • apply()
      • apply_auto_filter()
  • Module contents
• pm4py.algo.filtering.log.end_activities package
  • Submodules
    • pm4py.algo.filtering.log.end_activities.end_activities_filter module
      • Parameters
      • apply()
      • filter_log_by_end_activities()
  • Module contents
• pm4py.algo.filtering.log.ltl package
  • Submodules
    • pm4py.algo.filtering.log.ltl.ltl_checker module
      • Parameters
      • timestamp_list_is_ge()
      • timestamp_list_is_le()
      • eventually_follows()
      • A_next_B_next_C()
      • four_eyes_principle()
      • attr_value_different_persons()
  • Module contents
• pm4py.algo.filtering.log.paths package
  • Submodules
    • pm4py.algo.filtering.log.paths.paths_filter module
      • Parameters
      • apply()
      • apply_performance()
      • get_paths_from_log()
      • get_sorted_paths_list()
      • get_paths_threshold()
      • filter_log_by_paths()
  • Module contents
• pm4py.algo.filtering.log.prefixes package
  • Submodules
    • pm4py.algo.filtering.log.prefixes.prefix_filter module
      • Parameters
      • apply()
  • Module contents
• pm4py.algo.filtering.log.rework package
  • Submodules
    • pm4py.algo.filtering.log.rework.rework_filter module
      • Parameters
      • apply()
  • Module contents
• pm4py.algo.filtering.log.start_activities package
  • Submodules
    • pm4py.algo.filtering.log.start_activities.start_activities_filter module
      • Parameters
      • apply()
      • filter_log_by_start_activities()
  • Module contents
• pm4py.algo.filtering.log.suffixes package
  • Submodules
    • pm4py.algo.filtering.log.suffixes.suffix_filter module
      • Parameters
      • apply()
  • Module contents
• pm4py.algo.filtering.log.timestamp package
  • Submodules
    • pm4py.algo.filtering.log.timestamp.timestamp_filter module
      • Parameters
      • trace_attr_is_contained()
      • filter_on_trace_attribute()
      • is_contained()
      • filter_traces_contained()
      • is_intersecting()
      • filter_traces_intersecting()
      • apply_events()
      • has_attribute_in_timeframe()
      • filter_traces_attribute_in_timeframe()
      • filter_traces_starting_in_timeframe()
      • filter_traces_completing_in_timeframe()
      • apply()
      • apply_auto_filter()
  • Module contents
• pm4py.algo.filtering.log.traces package
  • Submodules
    • pm4py.algo.filtering.log.traces.trace_filter module
      • Parameters
      • apply()
  • Module contents
• pm4py.algo.filtering.log.variants package
  • Submodules
    • pm4py.algo.filtering.log.variants.variants_filter module
      • Parameters
      • apply()
      • filter_variants_top_k()
      • filter_variants_by_coverage_percentage()
      • filter_variants_by_maximum_coverage_percentage()
      • filter_log_variants_percentage()
      • filter_variants_variants_percentage()
      • find_auto_threshold()
  • Module contents

Module contents

PM4Py – A Process Mining Library for Python

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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.

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