/// <summary>
/// Initializes a new instance of the <see cref="NaiveBayesModelWriter" /> class.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="outputStream">The output stream.</param>
/// <param name="encoding">The encoding.</param>
/// <exception cref="System.ArgumentNullException">outputStream</exception>
/// <exception cref="System.ArgumentException">The stream is not writable.</exception>
public PlainTextNaiveBayesModelWriter(NaiveBayesModel model, Stream outputStream, Encoding encoding) : base(model)
{
if (outputStream == null)
{
throw new ArgumentNullException(nameof(outputStream));
}
if (!outputStream.CanWrite)
{
throw new ArgumentException("The stream is not writable.", nameof(outputStream));
}
if (encoding == null)
{
encoding = Encoding.UTF8;
}
writer = new PlainTextFileDataWriter(outputStream, encoding);
}
private void TrainingStats(EvalParameters evalParams)
{
var numCorrect = 0;
for (var ei = 0; ei < numUniqueEvents; ei++)
{
for (var ni = 0; ni < numTimesEventsSeen[ei]; ni++)
{
var modelDistribution = new double[numOutcomes];
NaiveBayesModel.Eval(contexts[ei], values?[ei], modelDistribution, evalParams);
var max = MaxIndex(modelDistribution);
if (max == outcomeList[ei])
{
numCorrect++;
}
}
}
var trainingAccuracy = (double)numCorrect / numEvents;
Display("Stats: (" + numCorrect + "/" + numEvents + ") " + trainingAccuracy);
}
/// <summary>
/// Initializes a new instance of the <see cref="NaiveBayesModelWriter" /> class.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="outputStream">The output stream.</param>
/// <exception cref="System.ArgumentNullException">outputStream</exception>
/// <exception cref="System.ArgumentException">The stream is not writable.</exception>
public PlainTextNaiveBayesModelWriter(NaiveBayesModel model, Stream outputStream)
: this(model, outputStream, Encoding.UTF8)
{
}
