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## weka.associations
Class FPGrowth.AssociationRule

    java.lang.Object
      weka.associations.FPGrowth.AssociationRule

All Implemented Interfaces:
  java.io.Serializable, java.lang.Comparable<FPGrowth.AssociationRule>

Enclosing class:
  FPGrowth

    public static class FPGrowth.AssociationRule

extends java.lang.Object
implements java.io.Serializable, java.lang.Comparable<FPGrowth.AssociationRule>

Author:
  mhall
See Also:
  Serialized Form

Nested Class Summary
`static class` | `FPGrowth.AssociationRule.METRIC_TYPE` Enum for holding different metric types

Field Summary
`static Tag[]` | `TAGS_SELECTION` Tags for display in the GUI

Constructor Summary
`FPGrowth.AssociationRule(java.util.Collection<FPGrowth.BinaryItem> premise, java.util.Collection<FPGrowth.BinaryItem> consequence, FPGrowth.AssociationRule.METRIC_TYPE metric, int premiseSupport, int consequenceSupport, int totalSupport, int totalTransactions)` Construct a new association rule.

Method Summary
`int` | `compareTo(FPGrowth.AssociationRule other)` Compare this rule to the supplied rule.
`boolean` | `equals(java.lang.Object other)` Return true if this rule is equal to the supplied one.
`static java.util.List<FPGrowth.AssociationRule>` | `generateRulesBruteForce(weka.associations.FPGrowth.FrequentItemSets largeItemSets, FPGrowth.AssociationRule.METRIC_TYPE metricToUse, double metricThreshold, int totalTransactions)` Generate all association rules, from the supplied frequet item sets, that meet a given minimum metric threshold.
`java.util.Collection<FPGrowth.BinaryItem>` | `getConsequence()` Get the consequence of this rule.
`int` | `getConsequenceSupport()` Get the support for the consequence.
`FPGrowth.AssociationRule.METRIC_TYPE` | `getMetricType()` Get the metric type of this rule (e.g.
`double` | `getMetricValue()` Get the value of the metric for this rule.
`java.util.Collection<FPGrowth.BinaryItem>` | `getPremise()` Get the premise of this rule.
`int` | `getPremiseSupport()` Get the support for the premise.
`int` | `getTotalSupport()` Get the total support for this rule (premise + consequence).
`int` | `getTotalTransactions()` Get the total number of transactions in the data.
`java.lang.String` | `toString()` Get a textual description of this rule.

Methods inherited from class java.lang.Object
`getClass, hashCode, notify, notifyAll, wait, wait, wait`

Field Detail

### TAGS_SELECTION

    public static final Tag[] TAGS_SELECTION

  Tags for display in the GUI

Constructor Detail

### FPGrowth.AssociationRule

    public FPGrowth.AssociationRule(java.util.Collection<FPGrowth.BinaryItem> premise,
                                    java.util.Collection<FPGrowth.BinaryItem> consequence,
                                    FPGrowth.AssociationRule.METRIC_TYPE metric,
                                    int premiseSupport,
                                    int consequenceSupport,
                                    int totalSupport,
                                    int totalTransactions)

  Construct a new association rule.

  Parameters:
    `premise` - the premise of the rule
    `consequence` - the consequence of the rule
    `metric` - the metric for the rule
    `premiseSupport` - the support of the premise
    `consequenceSupport` - the support of the consequence
    `totalSupport` - the total support of the rule
    `totalTransactions` - the number of transactions in the data

Method Detail

### getPremise

    public java.util.Collection<FPGrowth.BinaryItem> getPremise()

  Get the premise of this rule.

  Returns:
    the premise of this rule.

### getConsequence

    public java.util.Collection<FPGrowth.BinaryItem> getConsequence()

  Get the consequence of this rule.

  Returns:
    the consequence of this rule.

### getMetricType

    public FPGrowth.AssociationRule.METRIC_TYPE getMetricType()

  Get the metric type of this rule (e.g. confidence).

  Returns:
    the metric type of this rule.

### getMetricValue

    public double getMetricValue()

  Get the value of the metric for this rule.

  Returns:
    the value of the metric for this rule.

### getPremiseSupport

    public int getPremiseSupport()

  Get the support for the premise.

  Returns:
    the support for the premise.

### getConsequenceSupport

    public int getConsequenceSupport()

  Get the support for the consequence.

  Returns:
    the support for the consequence.

### getTotalSupport

    public int getTotalSupport()

  Get the total support for this rule (premise + consequence).

  Returns:
    the total support for this rule.

### getTotalTransactions

    public int getTotalTransactions()

  Get the total number of transactions in the data.

  Returns:
    the total number of transactions in the data.

### compareTo

    public int compareTo(FPGrowth.AssociationRule other)

  Compare this rule to the supplied rule.

  Specified by:
    `compareTo` in interface `java.lang.Comparable<FPGrowth.AssociationRule>`
  Parameters:
    `other` - the rule to compare to.
  Returns:
    the result of the comparison.

### equals

    public boolean equals(java.lang.Object other)

  Return true if this rule is equal to the supplied one.

  Overrides:
    `equals` in class `java.lang.Object`
  Returns:
    true if this rule is the same as the supplied rule.

### toString

    public java.lang.String toString()

  Get a textual description of this rule.

  Overrides:
    `toString` in class `java.lang.Object`
  Returns:
    a textual description of this rule.

### generateRulesBruteForce

    public static java.util.List<FPGrowth.AssociationRule> generateRulesBruteForce(weka.associations.FPGrowth.FrequentItemSets largeItemSets,
                                                                                   FPGrowth.AssociationRule.METRIC_TYPE metricToUse,
                                                                                   double metricThreshold,
                                                                                   int totalTransactions)

  Generate all association rules, from the supplied frequet item sets, that meet a given minimum metric threshold. Uses a brute force approach.

  Parameters:
    `largeItemSets` - the set of frequent item sets
    `metricToUse` - the metric to use
    `metricThreshold` - the threshold value that a rule must meet
    `totalTransactions` - the total number of transactions in the data
  Returns:
    a list of association rules

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