/// <summary>
/// Computes the probability of the prediction being True.
/// </summary>
/// <param name="x"></param>
/// <returns></returns>
public double PredictRaw(Vector x)
{
double prediction = 0d;
this.Preprocess(x);
if (KernelFunction.IsLinear)
{
prediction = Theta.Dot(x) + Bias;
}
else
{
for (int j = 0; j < X.Rows; j++)
{
prediction = prediction + Alpha[j] * Y[j] * KernelFunction.Compute(X[j, VectorType.Row], x);
}
prediction += Bias;
}
return(prediction);
}
