RuleGenerator<T> class
Generates association rules from a set of frequent itemsets.
This class takes the output of the FP-Growth algorithm (frequent itemsets and their support counts) and generates association rules that meet a minimum confidence threshold.
Constructors
-
RuleGenerator({required double minConfidence, required Map<
List< frequentItemsets, required int totalTransactions})T> , int> - Creates a new RuleGenerator.
Properties
-
frequentItemsets
→ Map<
List< T> , int> -
A map of frequent itemsets to their support counts.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- minConfidence → double
-
The minimum confidence threshold for a rule to be considered valid.
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- totalTransactions → int
-
The total number of transactions processed.
final
Methods
-
generateRules(
) → List< AssociationRule< T> > -
Generates all possible association rules that meet the
minConfidence. -
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited