Class TwoPassDataIndexer

All Implemented Interfaces:
opennlp.tools.ml.model.DataIndexer<TrainingParameters>

public class TwoPassDataIndexer extends AbstractDataIndexer<TrainingParameters>
Collecting event and context counts by making two passes over the events.

The first pass determines which contexts will be used by the model, and the second pass creates the events in memory containing only the contexts which will be used. This greatly reduces the amount of memory required for storing the events. During the first pass a temporary event file is created which is read during the second pass.

See Also:
  • Constructor Details

    • TwoPassDataIndexer

      public TwoPassDataIndexer()
  • Method Details

    • index

      public void index(opennlp.tools.util.ObjectStream<opennlp.tools.ml.model.Event> eventStream) throws IOException
      Throws:
      IOException