private async void train_test_Click(object sender, RoutedEventArgs e)
{
List <float> predictions = new List <float>();
MLModel.Metrics metrics = null;
var task = Task.Run(() =>
{
for (int i = 0; i < trainData.Count; i++)
{
var prediction = _mlModel.Predict(trainData[i]);
predictions.Add(prediction);
}
metrics = _mlModel.Validate();
});
await Process(task);
DrawChild(predictions, "Prediction");
Log($"ML model metrics:\n" +
$"Mean absolute error: {metrics.MeanAbsoluteError:f2}\n" +
$"Mean squared error: {metrics.MeanSquaredError:f2}");
}
