Package quickml.supervised.classifier.decisionTree.tree

Examples of quickml.supervised.classifier.decisionTree.tree.ClassificationCounter.addClassification()

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    @Test
    public void testMerge() {
        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("dog", 1.0);
        a.addClassification("cat", 0.5);
        ClassificationCounter b = new ClassificationCounter();
        b.addClassification("dog", 0.5);
        b.addClassification("cat", 1.0);
        ClassificationCounter merged = ClassificationCounter.merge(a, b);
        Assert.assertEquals(merged.getTotal(), 3.0);
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    public void testMerge() {
        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("dog", 1.0);
        a.addClassification("cat", 0.5);
        ClassificationCounter b = new ClassificationCounter();
        b.addClassification("dog", 0.5);
        b.addClassification("cat", 1.0);
        ClassificationCounter merged = ClassificationCounter.merge(a, b);
        Assert.assertEquals(merged.getTotal(), 3.0);
        Assert.assertEquals(merged.getCount("dog"), 1.5);
        Assert.assertEquals(merged.getCount("cat"), 1.5);
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        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("dog", 1.0);
        a.addClassification("cat", 0.5);
        ClassificationCounter b = new ClassificationCounter();
        b.addClassification("dog", 0.5);
        b.addClassification("cat", 1.0);
        ClassificationCounter merged = ClassificationCounter.merge(a, b);
        Assert.assertEquals(merged.getTotal(), 3.0);
        Assert.assertEquals(merged.getCount("dog"), 1.5);
        Assert.assertEquals(merged.getCount("cat"), 1.5);
    }
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*/
public class MSEScorerTest {
    @Test
    public void simpleTest() {
        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("a", 4);
        a.addClassification("b", 9);
        a.addClassification("c", 1);
        ClassificationCounter b = new ClassificationCounter();
       b.addClassification("a", 5);
       b.addClassification("b", 9);
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public class MSEScorerTest {
    @Test
    public void simpleTest() {
        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("a", 4);
        a.addClassification("b", 9);
        a.addClassification("c", 1);
        ClassificationCounter b = new ClassificationCounter();
       b.addClassification("a", 5);
       b.addClassification("b", 9);
       b.addClassification("c", 6);
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    @Test
    public void simpleTest() {
        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("a", 4);
        a.addClassification("b", 9);
        a.addClassification("c", 1);
        ClassificationCounter b = new ClassificationCounter();
       b.addClassification("a", 5);
       b.addClassification("b", 9);
       b.addClassification("c", 6);
        MSEScorer mseScorer = new MSEScorer(MSEScorer.CrossValidationCorrection.FALSE);
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        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("a", 4);
        a.addClassification("b", 9);
        a.addClassification("c", 1);
        ClassificationCounter b = new ClassificationCounter();
       b.addClassification("a", 5);
       b.addClassification("b", 9);
       b.addClassification("c", 6);
        MSEScorer mseScorer = new MSEScorer(MSEScorer.CrossValidationCorrection.FALSE);
        Assert.assertTrue(Math.abs(mseScorer.scoreSplit(a, b)- 0.021776929) < 0.000000001);
    }
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        a.addClassification("a", 4);
        a.addClassification("b", 9);
        a.addClassification("c", 1);
        ClassificationCounter b = new ClassificationCounter();
       b.addClassification("a", 5);
       b.addClassification("b", 9);
       b.addClassification("c", 6);
        MSEScorer mseScorer = new MSEScorer(MSEScorer.CrossValidationCorrection.FALSE);
        Assert.assertTrue(Math.abs(mseScorer.scoreSplit(a, b)- 0.021776929) < 0.000000001);
    }
}
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        a.addClassification("b", 9);
        a.addClassification("c", 1);
        ClassificationCounter b = new ClassificationCounter();
       b.addClassification("a", 5);
       b.addClassification("b", 9);
       b.addClassification("c", 6);
        MSEScorer mseScorer = new MSEScorer(MSEScorer.CrossValidationCorrection.FALSE);
        Assert.assertTrue(Math.abs(mseScorer.scoreSplit(a, b)- 0.021776929) < 0.000000001);
    }
}
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public class InformationGainScorerTest {

    @Test
    public void sameClassificationTest() {
        ClassificationCounter a = new ClassificationCounter();
        a.addClassification("a", 4);
        ClassificationCounter b = new ClassificationCounter();
        b.addClassification("a", 4);
        InformationGainScorer scorer = new InformationGainScorer();
        Assert.assertEquals(scorer.scoreSplit(a, b), 0.0);
    }
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