internal static NaiveBayesModel TrainModel(IObjectStream <Event> samples, int cutoff = 1)
{
var parameters = TrainingParameters.DefaultParameters();
parameters.Set(Parameters.Cutoff, cutoff.ToString(CultureInfo.InvariantCulture));
var trainer = new NaiveBayesTrainer();
trainer.Init(parameters, null);
return(trainer.Train(samples));
}
internal static NaiveBayesModel TrainModel()
{
var parameters = TrainingParameters.DefaultParameters();
parameters.Set(Parameters.Cutoff, "1");
var trainer = new NaiveBayesTrainer();
trainer.Init(parameters, null);
return(trainer.Train(CreateTrainingStream()));
}
/// <summary>
/// Naive bayes is a classifier that assumes conditional independence between all features
/// </summary>
/// <param name="table">The training data provider</param>
/// <returns>A naive bayes model</returns>
public static NaiveBayes TrainNaiveBayes(this IDataTable table)
{
return(NaiveBayesTrainer.Train(table));
}
