pm4py.algo.discovery.declare.variants.classic module

class pm4py.algo.discovery.declare.variants.classic.Parameters(*values)

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'

CASE_ID_KEY = 'pm4py:param:case_id_key'

CONSIDERED_ACTIVITIES = 'considered_activities'

MIN_SUPPORT_RATIO = 'min_support_ratio'

MIN_CONFIDENCE_RATIO = 'min_confidence_ratio'

AUTO_SELECTION_MULTIPLIER = 'auto_selection_multiplier'

ALLOWED_TEMPLATES = 'allowed_templates'

pm4py.algo.discovery.declare.variants.classic.existence_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.exactly_one_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.init_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.responded_existence_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.response_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.precedence_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.altresponse_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.chainresponse_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.altprecedence_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.chainprecedence_template_step1(rules: Dict[Tuple[str, str] | Tuple[str, str, str], int], trace: Collection[str], activities: Set[str], act_counter: Counter[str], act_idxs: Dict[str, List[int]], allowed_templates: Collection[str])

pm4py.algo.discovery.declare.variants.classic.absence_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.exactly_one_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.responded_existence_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.response_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.precedence_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.altresponse_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.chainresponse_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.altprecedence_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.chainprecedence_template_step2(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.succession_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.altsuccession_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.chainsuccession_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.coexistence_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.noncoexistence_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.nonsuccession_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.nonchainsuccession_template(table, columns: Collection[str], activities: Set[str], allowed_templates: Collection[str]) → DataFrame

pm4py.algo.discovery.declare.variants.classic.form_rules_table(log: EventLog | DataFrame, parameters: Dict[Any, Any] | None = None) → DataFrame

pm4py.algo.discovery.declare.variants.classic.get_rules_from_rules_df(rules_df, parameters: Dict[Any, Any] | None = None) → Dict[str, Dict[Any, Dict[str, int]]]

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

Discovers a DECLARE model from the provided event log

Paper: F. M. Maggi, A. J. Mooij and W. M. P. van der Aalst, “User-guided discovery of declarative process models,” 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Paris, France, 2011, pp. 192-199, doi: 10.1109/CIDM.2011.5949297.

Parameters:

• log – Log object (EventLog, Pandas table)

• parameters – Possible parameters of the algorithm, including: - Parameters.ACTIVITY_KEY - Parameters.CONSIDERED_ACTIVITIES - Parameters.MIN_SUPPORT_RATIO - Parameters.MIN_CONFIDENCE_RATIO - Parameters.AUTO_SELECTION_MULTIPLIER - Parameters.ALLOWED_TEMPLATES: collection of templates to consider, including:

  • existence

  • exactly_one

  • init

  • responded_existence

  • response

  • precedence

  • succession

  • altresponse

  • altprecedence

  • altsuccession

  • chainresponse

  • chainprecedence

  • chainsuccession

  • absence

  • coexistence

  • noncoexistence

  • nonsuccession

  • nonchainsuccession

Returns:

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

Return type:

declare_model