Examples of weka.datagenerators.Test

weka.datagenerators.Test
Class to represent a test.

The string representation of the test can be supplied in standard notation or for a subset of types of attributes in Prolog notation.
Following examples for all possible tests that can be represented by this class, given in standard notation.

Examples of tests for numeric attributes:
B >= 2.333
B < 4.56

Examples of tests for nominal attributes with more then 2 values:
A = rain
A != rain

Examples of tests for nominal attribute with exactly 2 values:
A = false
A = true

The Prolog notation is only supplied for numeric attributes and for nominal attributes that have the values "true" and "false".

Following examples for the Prolog notation provided.

Examples of tests for numeric attributes:
The same as for standard notation above.

Examples of tests for nominal attributes with values "true"and "false":
A
not(A)

(Other nominal attributes are not supported by the Prolog notation.)

@author Gabi Schmidberger (gabi@cs.waikato.ac.nz) @version $Revision: 1.5 $

                                   + getMinRuleSize();


    RuleList newRule = new RuleList();
    for (int i=0; i < ruleSize; i++) {
      int testIndex = (int) (random.nextDouble() * (double) TestList.size());
      Test test = (Test) TestList.elementAt(testIndex);
          
      newRule.addTest(test);
      TestList.removeElementAt(testIndex);
    }
    double newClassValue = 0.0;

View Full Code Here

    FastVector TestList = new FastVector(numTests);
    boolean[] irrelevant = getAttList_Irr();


    for (int i = 0; i < getNumAttributes(); i++) {
      if (!irrelevant[i]) {
        Test newTest = null;
        Attribute att = example.attribute(i);
        if (att.isNumeric()) {
          double newSplit = random.nextDouble();
          boolean newNot = newSplit < example.value(i);
          newTest = new Test(i, newSplit, format, newNot);
        } else {
          newTest = new Test(i, example.value(i), format, false);
        }
      TestList.addElement (newTest);     
      }
    }

View Full Code Here

     */
    private double classifyInstance (Instance example) throws Exception {
      boolean passedAllTests = true;
      for (Enumeration e = m_RuleList.elements(); 
     passedAllTests && e.hasMoreElements(); ) {
  Test test = (Test) e.nextElement();
  passedAllTests = test.passesTest(example);
      }
      if (passedAllTests) return m_ClassValue;
      else return -1.0;
    }

View Full Code Here

    public String toString () {
      StringBuffer str = new StringBuffer();
      str = str.append("  c" + (int) m_ClassValue + " := ");
      Enumeration e = m_RuleList.elements();
      if (e.hasMoreElements()) {
  Test test = (Test) e.nextElement();
  str = str.append(test.toPrologString()); 
      }
      while (e.hasMoreElements()) {
  Test test = (Test) e.nextElement();
  str = str.append(", " + test.toPrologString());       
      }
      return str.toString();
    }

View Full Code Here

     */
    private double classifyInstance (Instance example) throws Exception {
      boolean passedAllTests = true;
      for (Enumeration e = m_RuleList.elements(); 
     passedAllTests && e.hasMoreElements(); ) {
  Test test = (Test) e.nextElement();
  passedAllTests = test.passesTest(example);
      }
      if (passedAllTests) return m_ClassValue;
      else return -1.0;
    }

View Full Code Here

    public String toString () {
      StringBuffer str = new StringBuffer();
      str = str.append("  c" + (int) m_ClassValue + " := ");
      Enumeration e = m_RuleList.elements();
      if (e.hasMoreElements()) {
  Test test = (Test) e.nextElement();
  str = str.append(test.toPrologString()); 
      }
      while (e.hasMoreElements()) {
  Test test = (Test) e.nextElement();
  str = str.append(", " + test.toPrologString());       
      }
      return str.toString();
    }

View Full Code Here

                                   + getMinRuleSize();


    RuleList newRule = new RuleList();
    for (int i=0; i < ruleSize; i++) {
      int testIndex = (int) (random.nextDouble() * (double) TestList.size());
      Test test = (Test) TestList.elementAt(testIndex);
          
      newRule.addTest(test);
      TestList.removeElementAt(testIndex);
    }
    double newClassValue = 0.0;

View Full Code Here

    FastVector TestList = new FastVector(numTests);
    boolean[] irrelevant = getAttList_Irr();


    for (int i = 0; i < getNumAttributes(); i++) {
      if (!irrelevant[i]) {
        Test newTest = null;
        Attribute att = example.attribute(i);
        if (att.isNumeric()) {
          double newSplit = random.nextDouble();
          boolean newNot = newSplit < example.value(i);
          newTest = new Test(i, newSplit, format, newNot);
        } else {
          newTest = new Test(i, example.value(i), format, false);
        }
      TestList.addElement (newTest);     
      }
    }

View Full Code Here

     */
    private double classifyInstance (Instance example) throws Exception {
      boolean passedAllTests = true;
      for (Enumeration e = m_RuleList.elements(); 
     passedAllTests && e.hasMoreElements(); ) {
  Test test = (Test) e.nextElement();
  passedAllTests = test.passesTest(example);
      }
      if (passedAllTests) return m_ClassValue;
      else return -1.0;
    }

View Full Code Here

    public String toString () {
      StringBuffer str = new StringBuffer();
      str = str.append("  c" + (int) m_ClassValue + " := ");
      Enumeration e = m_RuleList.elements();
      if (e.hasMoreElements()) {
  Test test = (Test) e.nextElement();
  str = str.append(test.toPrologString()); 
      }
      while (e.hasMoreElements()) {
  Test test = (Test) e.nextElement();
  str = str.append(", " + test.toPrologString());       
      }
      return str.toString();
    }

View Full Code Here

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Related Classes of weka.datagenerators.Test

weka.core.Attribute

weka.datagenerators.classifiers.classification.RDG1

weka.datagenerators.classifiers.classification.RDG1$RuleList

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