Package org.apache.mahout.classifier.df.builder

Examples of org.apache.mahout.classifier.df.builder.DecisionTreeBuilder.build()

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      // build tree
      DecisionTreeBuilder builder = new DecisionTreeBuilder();
      builder.setM(data.getDataset().nbAttributes() - 1);
      builder.setMinSplitNum(0);
      builder.setComplemented(false);
      trees.add(builder.build(rng, data));
    }
    return new DecisionForest(trees);
  }
 
  @Test
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  @Test
  public void testTreeVisualize() throws Exception {
    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    builder.setM(data.getDataset().nbAttributes() - 1);
    Node tree = builder.build(rng, data);
   
    assertEquals("\noutlook = rainy\n|   windy = FALSE : yes\n|   windy = TRUE : no\n"
            + "outlook = sunny\n|   humidity < 85 : yes\n|   humidity >= 85 : no\n"
            + "outlook = overcast : yes", TreeVisualizer.toString(tree, data.getDataset(), ATTR_NAMES));
  }
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  @Test
  public void testPredictTrace() throws Exception {
    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    builder.setM(data.getDataset().nbAttributes() - 1);
    Node tree = builder.build(rng, data);
   
    String[] prediction = TreeVisualizer.predictTrace(tree, testData,
        ATTR_NAMES);
    Assert.assertArrayEquals(new String[] {
        "outlook = rainy -> windy = TRUE -> no", "outlook = overcast -> yes",
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    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    builder.setM(data.getDataset().nbAttributes() - 1);
    builder.setMinSplitNum(0);
    builder.setComplemented(false);
    Node tree = builder.build(rng, lessData);

    assertEquals("\noutlook = sunny\n|   humidity < 85 : yes\n|   humidity >= 85 : no\noutlook = overcast : yes", TreeVisualizer.toString(tree, data.getDataset(), ATTR_NAMES));
  }
 
  @Test
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  public void testEmpty() throws Exception {
    Data emptyData = new Data(data.getDataset());
   
    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    Node tree = builder.build(rng, emptyData);

    assertEquals(" : unknown", TreeVisualizer.toString(tree, data.getDataset(), ATTR_NAMES));
  }
}
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  @Test
  public void testTreeVisualize() throws Exception {
    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    builder.setM(data.getDataset().nbAttributes() - 1);
    Node tree = builder.build(rng, data);
   
    assertEquals(TreeVisualizer.toString(tree, data.getDataset(), ATTR_NAMES),
      "\noutlook = rainy\n|   windy = FALSE : yes\n|   windy = TRUE : no\n"
        + "outlook = sunny\n|   humidity < 85 : yes\n|   humidity >= 85 : no\n"
        + "outlook = overcast : yes");
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  @Test
  public void testPredictTrace() throws Exception {
    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    builder.setM(data.getDataset().nbAttributes() - 1);
    Node tree = builder.build(rng, data);
   
    String[] prediction = TreeVisualizer.predictTrace(tree, testData, ATTR_NAMES);
    Assert.assertArrayEquals(prediction, new String[] {
      "outlook = rainy -> windy = TRUE -> no", "outlook = overcast -> yes",
      "outlook = sunny -> (humidity = 90) >= 85 -> no"});
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  @Test
  public void testTreeVisualize() throws Exception {
    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    builder.setM(data.getDataset().nbAttributes() - 1);
    Node tree = builder.build(rng, data);

    String visualization = TreeVisualizer.toString(tree, data.getDataset(), ATTR_NAMES);

    assertTrue(
        ("\n" +
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      // build tree
      DecisionTreeBuilder builder = new DecisionTreeBuilder();
      builder.setM(data.getDataset().nbAttributes() - 1);
      builder.setMinSplitNum(0);
      builder.setComplemented(false);
      trees.add(builder.build(rng, data));
    }
    return new DecisionForest(trees);
  }
 
  @Test
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  @Test
  public void testPredictTrace() throws Exception {
    // build tree
    DecisionTreeBuilder builder = new DecisionTreeBuilder();
    builder.setM(data.getDataset().nbAttributes() - 1);
    Node tree = builder.build(rng, data);
   
    String[] prediction = TreeVisualizer.predictTrace(tree, testData,
        ATTR_NAMES);
    Assert.assertArrayEquals(new String[] {
        "outlook = rainy -> windy = TRUE -> no", "outlook = overcast -> yes",
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