private static void Predict()
{
var lgrPred = -1;
var lgrProb = -1.0;
if (MultinomialLogisticRegression != null)
{
lgrPred = MultinomialLogisticRegression.Decide(CurrPredictionPoints);
lgrProb = MultinomialLogisticRegression.Probability(CurrPredictionPoints);
PredictedFrequencyClassifiers = lgrPred;
if (Classification.IsValidation)
{
Console.WriteLine($"Real Frequency: {BrainStorm0.ClassificationShape.Hertz} Logistic Regression Predicted Frequency: {lgrPred} Probability: {lgrProb}");
}
}
var mmdPred = -1;
var mmdScore = -1.0;
if (MinimumMeanDistance != null)
{
mmdPred = MinimumMeanDistance.Decide(CurrPredictionPoints);
mmdScore = MinimumMeanDistance.Score(CurrPredictionPoints);
if (Classification.IsValidation)
{
Console.WriteLine(
$"Real Frequency: {BrainStorm0.ClassificationShape.Hertz} Minimun Distance Predicted Frequency: {PredictedFrequencyClassifiers}");
}
else
{
Console.WriteLine(
$"MMD Predicted Frequency: {mmdPred} {mmdScore}");
}
}
var rfPred = -1;
if (RandomForest != null)
{
rfPred = RandomForest.Decide(CurrPredictionPoints);
if (Classification.IsValidation)
{
Console.WriteLine(
$"Real Frequency: {BrainStorm0.ClassificationShape.Hertz} Random Forest Predicted Frequency: {rfPred}");
}
else
{
Console.WriteLine(
$"Random Forest Predicted Frequency: {rfPred}");
}
}
if (IsTyping)
{
UpdateTypingPredictions();
}
}
