Class RuleProcessing

Nested Relationships

Nested Types

Class Documentation

class RuleProcessing

Class to manage and manipulate rules extracted from the Dimlp algorithm.

This class provides functionalities to count, prune, and enlarge rules based on certain criteria and thresholds.

Public Functions

int IsRuleEmpty(std::shared_ptr<DimlpRule> rule) const

Checks if a rule is empty.

Parameters:

rule – The rule to check.

Returns:

1 if the rule is empty, 0 otherwise.

inline int GetNbRules() const

Gets the number of rules.

Returns:

The number of rules.

inline void GoToBeg()

Goes to the beginning of the rule list.

inline void GoToNext()

Goes to the next rule in the list.

inline std::shared_ptr<DimlpRule> GetRule() const

Gets the current rule.

Returns:

Pointer to the current rule.

inline void Save()

Saves the current state of the rule list.

inline void Previous()

Goes to the previously saved state of the rule list.

int CountAnt()

Counts the total number of antecedents in all the rules.

Returns:

The total number of antecedents.

int CountRules()

Counts the number of non-empty rules.

Returns:

The number of non-empty rules.

void Clean()

Cleans the rule list by removing unnecessary thresholds.

void MixPrune()

Mixes and prunes the rules.

void EnlargeAndPrune()

Enlarges and prunes the rules.

void Insert(std::shared_ptr<DimlpRule> r)

Inserts a rule into the rule list.

Parameters:

r – The rule to insert.

void Del()

Deletes all rules from the rule list.

RuleProcessing(int nbVar, int nbHyp, DataSet data, const std::vector<int> &classPatNet, std::shared_ptr<ThresDescr> descr)

Constructor for the RuleProcessing class.

Parameters:

  • nbVar – Number of variables.

  • nbHyp – Number of hyperplanes.

  • data – The dataset for rule processing.

  • classPatNet – Vector containing the class patterns of the network.

  • descr – Pointer to the threshold descriptor.

RuleProcessing() = default

Default constructor for the RuleProcessing class.