Package weka.core

Examples of weka.core.Instances.numAttributes()

95
96
97
98
99
100
101
102
103
104
105
  public void testInverted() {
    m_Filter = getFilter("1,2");
    ((Discretize)m_Filter).setInvertSelection(true);
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    for (int i = 0; i < result.numAttributes(); i++) {
      if ((i < 2) || !m_Instances.attribute(i).isNumeric()) {
        assertEquals(m_Instances.attribute(i).type(), result.attribute(i).type());
        assertEquals(m_Instances.attribute(i).name(), result.attribute(i).name());
      } else {
View Full Code Here
96
97
98
99
100
101
102
103
104
105
106
  public void testInverted() {
    m_Filter = getFilter("1,2");
    ((Discretize)m_Filter).setInvertSelection(true);
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    for (int i = 0; i < result.numAttributes(); i++) {
      if ((i < 2) || !m_Instances.attribute(i).isNumeric()) {
        assertEquals(m_Instances.attribute(i).type(), result.attribute(i).type());
        assertEquals(m_Instances.attribute(i).name(), result.attribute(i).name());
      } else {
        assertEquals(Attribute.NOMINAL, result.attribute(i).type());
View Full Code Here
111
112
113
114
115
116
117
118
119
120
121
  public void testNonInverted2() {
    m_Filter = getFilter("first-3");
    ((Discretize)m_Filter).setInvertSelection(true);
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    for (int i = 0; i < result.numAttributes(); i++) {
      if ((i < 3) || !m_Instances.attribute(i).isNumeric()) {
        assertEquals(m_Instances.attribute(i).type(), result.attribute(i).type());
        assertEquals(m_Instances.attribute(i).name(), result.attribute(i).name());
      } else {
View Full Code Here
112
113
114
115
116
117
118
119
120
121
122
  public void testNonInverted2() {
    m_Filter = getFilter("first-3");
    ((Discretize)m_Filter).setInvertSelection(true);
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    for (int i = 0; i < result.numAttributes(); i++) {
      if ((i < 3) || !m_Instances.attribute(i).isNumeric()) {
        assertEquals(m_Instances.attribute(i).type(), result.attribute(i).type());
        assertEquals(m_Instances.attribute(i).name(), result.attribute(i).name());
      } else {
        assertEquals(Attribute.NOMINAL, result.attribute(i).type());
View Full Code Here
127
128
129
130
131
132
133
134
135
136
137
  public void testBetterEncoding() {
    m_Filter = getFilter("3");
    ((Discretize)m_Filter).setUseBetterEncoding(true);
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    assertEquals(Attribute.NOMINAL, result.attribute(2).type());
  }

  public void testUseKononenko() {
    m_Filter = getFilter("3");
View Full Code Here
90
91
92
93
94
95
96
97
98
99
100
  }

  public void testNumeric() {
    ((RemoveWithValues)m_Filter).setAttributeIndex("3");
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    assertEquals("Default split point matches values less than 0",
                 0,  result.numInstances());

    ((RemoveWithValues)m_Filter).setSplitPoint(3);
    result = useFilter();
View Full Code Here
96
97
98
99
100
101
102
103
104
105
106
    assertEquals("Default split point matches values less than 0",
                 0,  result.numInstances());

    ((RemoveWithValues)m_Filter).setSplitPoint(3);
    result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    assertTrue(m_Instances.numInstances() > result.numInstances());

    // Test inversion is working.
    ((RemoveWithValues)m_Filter).setInvertSelection(false);
    Instances result2 = useFilter();
View Full Code Here
102
103
104
105
106
107
108
109
110
111
112
    assertTrue(m_Instances.numInstances() > result.numInstances());

    // Test inversion is working.
    ((RemoveWithValues)m_Filter).setInvertSelection(false);
    Instances result2 = useFilter();
    assertEquals(m_Instances.numAttributes(), result2.numAttributes());
    assertTrue(m_Instances.numInstances() > result2.numInstances());
    assertEquals(m_Instances.numInstances(), result.numInstances() + result2.numInstances());
  }

  public void testMatchMissingValues() {
View Full Code Here
112
113
114
115
116
117
118
119
120
121
122
  public void testMatchMissingValues() {
    ((RemoveWithValues)m_Filter).setAttributeIndex("5");
    ((RemoveWithValues)m_Filter).setInvertSelection(false);
    ((RemoveWithValues)m_Filter).setMatchMissingValues(false);
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    assertTrue(result.numInstances() > 0);
    for (int i = 0; i < result.numInstances(); i++) {
      assertTrue("Should select only instances with missing values",
             result.instance(i).isMissing(4));
    }
View Full Code Here
403
404
405
406
407
408
409
410
411
412
413
      notifyTrainingSetAvailable(tse);
      // fill in predicted values
            for (int i = 0; i < trainSet.numInstances(); i++) {
              double predClass =
          classifier.classifyInstance(trainSet.instance(i));
              newTrainingSetInstances.instance(i).setValue(newTrainingSetInstances.numAttributes()-1,
            predClass);
            }
            tse = new TrainingSetEvent(this,
          newTrainingSetInstances);
            tse.m_setNumber = setNum;
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.