/// <summary>
/// Returns the next object. Calling this method repeatedly until it returns,
/// null will return each object from the underlying source exactly once.
/// </summary>
/// <returns>
/// The next object or null to signal that the stream is exhausted.
/// </returns>
public Sequence Read()
{
var sample = psi.Read();
if (sample != null)
{
var events = new Event[sample.Sentence.Length];
for (int i = 0; i < sample.Sentence.Length; i++)
{
// it is safe to pass the tags as previous tags because
// the context generator does not look for non predicted tags
var tags = seqCodec.Encode(sample.Names, sample.Sentence.Length);
var context = pcg.GetContext(
i,
sample.Sentence,
useOutcomes ? tags : null,
null);
events[i] = new Event(tags[i], context);
}
return(new Sequence(events, sample));
}
return(null);
}
/// <summary>
/// Creates events for the provided sample.
/// </summary>
/// <param name="sample">The sample the sample for which training <see cref="T:Event"/>s are be created.</param>
/// <returns>The events enumerator.</returns>
protected override IEnumerator <Event> CreateEvents(NameSample sample)
{
if (sample.ClearAdaptiveData)
{
contextGenerator.ClearAdaptiveData();
}
var tokens = new string[sample.Sentence.Length];
var outcomes = codec.Encode(sample.Names, tokens.Length);
additionalContextFeatureGenerator.SetCurrentContext(sample.AdditionalContext);
for (int i = 0; i < sample.Sentence.Length; i++)
{
tokens[i] = sample.Sentence[i];
}
return(GenerateEvents(tokens, outcomes, contextGenerator).GetEnumerator());
}
