Package com.github.pmerienne.trident.ml.classification

Examples of com.github.pmerienne.trident.ml.classification.AROWClassifier

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public class AROWTest extends ClassifierTest {

  @Test
  public void testWithNand() {
    List<Instance<Boolean>> samples = Datasets.generatedNandInstances(100);
    double error = this.eval(new AROWClassifier(), samples);
    assertTrue("Error " + error + " is to big!", error < 0.05);
  }
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    assertTrue("Error " + error + " is to big!", error < 0.05);
  }

  @Test
  public void testWithGaussianData() {
    double error = this.eval(new AROWClassifier(), Datasets.generateDataForClassification(1000, 10));
    assertTrue("Error " + error + " is to big!", error <= 0.05);
  }
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    assertTrue("Error " + error + " is to big!", error <= 0.05);
  }

  @Test
  public void testWithSPAMData() {
    double error = this.eval(new AROWClassifier(), Datasets.getSpamSamples());
    assertTrue("Error " + error + " is to big!", error <= 0.1);
  }
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Related Classes of com.github.pmerienne.trident.ml.classification.AROWClassifier

  • com.github.pmerienne.trident.ml.classification.AROWTest
  • org.jblas.DoubleMatrix
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