public static void SaveAnalysis(AnalysisDrawer drawer, DateTime dateTime)
{
CheckAnalysisFolder();
string date = GetFormattedDate(dateTime);
for (int i = 0; i < drawer.IntraClusterPlots.Count; i++)
{
string intraClusterPlotName = $"(model_intra_cluster_dist)(ord_{i})(date_{date}).png";
SavePlot(drawer.IntraClusterPlots[i], intraClusterPlotName);
}
for (int i = 0; i < drawer.IntraClusterPlots.Count; i++)
{
string silhouetteCoefPlotName = $"(model_silhouette)(ord_{i})(date_{date}).png";
SavePlot(drawer.SilhouetteCoefPlots[i], silhouetteCoefPlotName);
}
string intraClusterMeanPlotName = $"(intra_cluster_mean)(date_{date}).png";
SavePlot(drawer.IntraClusterCommonPlot, intraClusterMeanPlotName);
string interClusterMeanPlotName = $"(inter_cluster_mean)(date_{date}).png";
SavePlot(drawer.InterClusterPlot, interClusterMeanPlotName);
string silhouetteMeanPlotName = $"(silhouette_mean)(date_{date}).png";
SavePlot(drawer.SilhouetteCoefMeanPlot, silhouetteMeanPlotName);
}
public static void Main(string[] args)
{
AppConfig appConfig = FileSystemHelper.GetAppConfig();
DateTime runDate = GetRunDate();
List <Song> songs = GetPreparedTrainingData();
int experimentIndex = 0;
foreach (ExperimentConfig config in appConfig.ExperimentConfigs)
{
for (int i = 0; i < config.ModelsCount; i++)
{
DynamicKMeans trainedKMeans = TrainModel(songs, config.ClustersCount);
FileSystemHelper.SaveKMeansModel(trainedKMeans.Model, runDate, experimentIndex);
experimentIndex += 1;
}
}
List <StaticKMeans> models = ReadAllModels(songs);
List <ModelAnalyzer> analyzers = models.Select(model =>
{
ModelAnalyzer analyzer = new ModelAnalyzer(model);
analyzer.Analyze();
return(analyzer);
}).ToList();
AnalysisDrawer drawer = new AnalysisDrawer(analyzers);
drawer.CreatePlots();
FileSystemHelper.SaveAnalysis(drawer, runDate);
List <Song> analyzingSongs = GetAnalyzingSongs();
FileSystemHelper.ClearPredictions();
for (int i = 0; i < models.Count; i++)
{
StaticKMeans model = models[i];
List <Prediction> predictions = MakePredictions(model, analyzingSongs);
FileSystemHelper.SavePredictions(predictions, runDate, i);
}
}