Class MultiLabelDataGenerator

java.lang.Object
org.tribuo.multilabel.example.MultiLabelDataGenerator
public class MultiLabelDataGenerator extends Object
Generates three example train and test datasets, used for unit testing. They don't necessarily have sensible classification boundaries, it's for testing the machinery rather than accuracy.

  • Method Details

    • generateTrainData

      public static Dataset<MultiLabel> generateTrainData()

    • generateTestData

      public static Dataset<MultiLabel> generateTestData()

    • generateDataset

      public static com.oracle.labs.mlrg.olcut.util.Pair<Dataset<MultiLabel>, Dataset<MultiLabel>> generateDataset()

    • invalidSparseExample

      public static Example<MultiLabel> invalidSparseExample()
      Generates an example with the feature ids 1,5,8, which does not intersect with the ids used elsewhere in this class. This should make the example empty at prediction time.
      Returns:
      An example with features {1:1.0,5:5.0,8:8.0}.

    • emptyExample

      public static Example<MultiLabel> emptyExample()
      Generates an example with no features.
      Returns:
      An example with no features.