Oracle Data Mining Java API Reference
10g Release 1 (10.1)

B12276-01

oracle.dmt.odm.rule
Class ABNMiningRule

java.lang.Object
  |
  +--oracle.dmt.odm.MiningObject
        |
        +--oracle.dmt.odm.rule.MiningRule
              |
              +--oracle.dmt.odm.rule.ABNMiningRule
All Implemented Interfaces:
java.io.Serializable

public class ABNMiningRule
extends MiningRule

An instance of ABNMiningRule represents a rule as produced from the Adaptive Bayes Network Model.

Since:
9.2.0.4
See Also:
AdaptiveBayesNetworkModel, Serialized Form

Method Summary
 float getConfidence()
          Returns the highest probability predicted target probability associated with this rule.
 int getCount()
          Returns the highest probability predicted target count associated with this rule.
 Category getTarget()
          Returns the highest probability predicted target value associated with this tree node.
 TargetItem[] getTargetItems()
          Returns an array of the target items in the mining rule.

 

Methods inherited from class oracle.dmt.odm.rule.MiningRule
getAntecedent, getConsequent, getRuleAnnotations, getRuleId, getSupport, getSupportCount, setSupportCount, toString

 

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

 

Method Detail

getTargetItems

public TargetItem[] getTargetItems()
Returns an array of the target items in the mining rule.
Returns:
TargetItem[] - the rule target items in the mining rule.

getCount

public int getCount()
Returns the highest probability predicted target count associated with this rule.
Returns:
int - the highest probability predicted target count associated with this rule

getConfidence

public float getConfidence()
Returns the highest probability predicted target probability associated with this rule.
Returns:
float - the highest probability predicted target probability associated with this rule

getTarget

public Category getTarget()
Returns the highest probability predicted target value associated with this tree node.
Returns:
Category - the highest probability predicted target value associated with this tree node

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