public static ClassifierBuildResult Create(IClassifier classifier, TextDocument[] trainingSet, string targetTag)
{
var errorsCount = trainingSet.Count(x => classifier.IsClassifierWrong(x, targetTag));
var error = errorsCount * 1.0 / trainingSet.Length;
return new ClassifierBuildResult
{
Classifier = classifier,
Error = error
};
}
private void PrintNormalizedTagsStats(TextDocument[] documents)
{
var tags = documents.SelectMany(x => x.Tags).Distinct().ToArray();
var stats = tags.Select(tag => new TagStatistics
{
Name = tag,
Count = documents.Count(p => p.Tags.Contains(tag))
}).ToArray();
Logger.Log("Normalized tags stats");
foreach (var tag in stats.OrderByDescending(x => x.Count))
{
Logger.Log("Tag = {0}, count = {1}", tag.Name, tag.Count);
}
PrintDelimeter();
}
