/// <summary>
/// Trains a tokenizer model from input files well formatted for
/// a token event reader.
/// </summary>
/// <param name="inputFilePaths">The collection of training input files</param>
/// <param name="iterations">The number of iterations to run when training the model</param>
/// <param name="cut">The minimum nb of occurences for statistical relevancy in the trained model</param>
/// <param name="splitMarker">The character indicating a split in the files</param>
/// <returns>The freshly trained GisModel</returns>
public static GisModel Train(IEnumerable <string> inputFilePaths, int iterations, int cut, char splitMarker = '|', bool includeAllCapsExamples = false)
{
var trainer = new GisTrainer(0.1);
var dataReaders = new List <StreamReader>();
foreach (var path in inputFilePaths)
{
var dataReader = new StreamReader(path);
dataReaders.Add(dataReader);
}
// train the model
var eventReader = new MultipleFileTokenEventReader(dataReaders, splitMarker, includeAllCapsExamples);
trainer.TrainModel(iterations, new TwoPassDataIndexer(eventReader, cut));
return(new GisModel(trainer));
}
/// <summary>
/// Trains a tokenizer model from input files well formatted for
/// a token event reader.
/// </summary>
/// <param name="inputFilePaths">The collection of training input files</param>
/// <param name="iterations">The number of iterations to run when training the model</param>
/// <param name="cut">The minimum nb of occurences for statistical relevancy in the trained model</param>
/// <param name="splitMarker">The character indicating a split in the files</param>
/// <returns>The freshly trained GisModel</returns>
public static GisModel Train(IEnumerable<string> inputFilePaths, int iterations, int cut, char splitMarker = '|', bool includeAllCapsExamples = false)
{
var trainer = new GisTrainer(0.1);
var dataReaders = new List<StreamReader>();
foreach (var path in inputFilePaths)
{
var dataReader = new StreamReader(path);
dataReaders.Add(dataReader);
}
// train the model
var eventReader = new MultipleFileTokenEventReader(dataReaders, splitMarker, includeAllCapsExamples);
trainer.TrainModel(iterations, new TwoPassDataIndexer(eventReader, cut));
return new GisModel(trainer);
}