Examples of org.apache.mahout.classifier.df.data.Dataset.valueOf()

Package org.apache.mahout.classifier.df.data

Class org.apache.mahout.classifier.df.data.Dataset

Examples of org.apache.mahout.classifier.df.data.Dataset.valueOf()

org.apache.mahout.classifier.df.data.Dataset.valueOf()
Converts a token to its corresponding integer code for a given attribute @param attr attribute index

    DecisionForest forest = buildForest(datas);
    // Test data
    Dataset dataset = datas[0].getDataset();
    Data testData = DataLoader.loadData(dataset, TEST_DATA);


    double noValue = dataset.valueOf(4, "no");
    double yesValue = dataset.valueOf(4, "yes");
    assertEquals(noValue, forest.classify(testData.getDataset(), rng, testData.get(0)), EPSILON);
    // This one is tie-broken -- 1 is OK too
    //assertEquals(yesValue, forest.classify(testData.getDataset(), rng, testData.get(1)), EPSILON);
    assertEquals(noValue, forest.classify(testData.getDataset(), rng, testData.get(2)), EPSILON);

View Full Code Here

    // Test data
    Dataset dataset = datas[0].getDataset();
    Data testData = DataLoader.loadData(dataset, TEST_DATA);


    double noValue = dataset.valueOf(4, "no");
    double yesValue = dataset.valueOf(4, "yes");
    assertEquals(noValue, forest.classify(testData.getDataset(), rng, testData.get(0)), EPSILON);
    // This one is tie-broken -- 1 is OK too
    //assertEquals(yesValue, forest.classify(testData.getDataset(), rng, testData.get(1)), EPSILON);
    assertEquals(noValue, forest.classify(testData.getDataset(), rng, testData.get(2)), EPSILON);
  }

View Full Code Here

    Dataset dataset = datas[0].getDataset();
    Data testData = DataLoader.loadData(dataset, TEST_DATA);


    double[][] predictions = new double[testData.size()][];
    forest.classify(testData, predictions);
    double noValue = dataset.valueOf(4, "no");
    double yesValue = dataset.valueOf(4, "yes");
    assertArrayEquals(new double[][]{{noValue, Double.NaN, Double.NaN},
        {noValue, yesValue, Double.NaN}, {noValue, noValue, Double.NaN}}, predictions);
  }

View Full Code Here

    Data testData = DataLoader.loadData(dataset, TEST_DATA);


    double[][] predictions = new double[testData.size()][];
    forest.classify(testData, predictions);
    double noValue = dataset.valueOf(4, "no");
    double yesValue = dataset.valueOf(4, "yes");
    assertArrayEquals(new double[][]{{noValue, Double.NaN, Double.NaN},
        {noValue, yesValue, Double.NaN}, {noValue, noValue, Double.NaN}}, predictions);
  }


  @Test

View Full Code Here

TOP

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.