public void AddTag(Tag tag, IList songs)
{
if (tag == null || songs.Count <= 0)
{
return;
}
foreach (Song song in songs)
{
App.SongDb.TagSong(song, tag);
}
UpdateTags();
OnPropertyChanged("Prediction");
if (Prediction.Any())
{
SelectedIndex = 0;
}
}
protected void RunModel(int foldN, IModel <LblT, ModelExT> model,
ILabeledDataset <LblT, InputExT> trainSet, ILabeledDataset <LblT, ModelExT> mappedTrainSet,
ILabeledDataset <LblT, InputExT> testSet, ILabeledDataset <LblT, ModelExT> mappedTestSet, CrossValidationTimeProfile modelProfile)
{
// train
ILabeledDataset <LblT, ModelExT> usedTrainSet = BeforeTrain(foldN, model, trainSet, mappedTrainSet);
Train(foldN, model, usedTrainSet);
AfterTrain(foldN, model, usedTrainSet);
modelProfile.TrainEndTime = DateTime.Now;
// test
modelProfile.TestStartTime = DateTime.Now;
ILabeledDataset <LblT, ModelExT> usedTestSet = BeforeTest(foldN, model, testSet, mappedTestSet);
PerfMatrix <LblT> foldMatrix = GetPerfMatrix(GetModelName(model), foldN);
for (int i = 0; i < usedTestSet.Count; i++)
{
LabeledExample <LblT, ModelExT> le = usedTestSet[i];
Prediction <LblT> prediction = Predict(foldN, model, le);
if (AfterPrediction(foldN, model, testSet[i].Example, le, prediction) && prediction.Any())
{
foldMatrix.AddCount(le.Label, prediction.BestClassLabel);
}
}
modelProfile.TestEndTime = DateTime.Now;
AfterTest(foldN, model, usedTestSet);
}