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(); }