/// <summary>
/// Predicts a class label vector for the given input vector, returning the
/// log-likelihood that the input vector belongs to its predicted class.
/// </summary>
/// <param name="input">The input vector.</param>
/// <param name="decision">The class label predicted by the classifier.</param>
/// <returns></returns>
public override double LogLikelihood(double[] input, out bool decision)
{
double sum = coefficients[0];
for (int i = 1; i < coefficients.Length; i++)
{
sum += input[i - 1] * coefficients[i];
}
decision = Classes.Decide(linkFunction.Log(sum) + 0.5);
return(linkFunction.Log(sum));
}
/// <summary>
/// Predicts a class label vector for the given input vector, returning the
/// log-likelihood that the input vector belongs to its predicted class.
/// </summary>
/// <param name="input">The input vector.</param>
/// <returns></returns>
public override double LogLikelihood(double[] input)
{
double sum = linear.Transform(input);
return(linkFunction.Log(sum));
}
