public void AbsoluteConvergenceConstructorTest()
{
var criteria = new AbsoluteConvergence(iterations: 10, tolerance: 0.1);
int progress = 1;
do
{
// Do some processing...
// Update current iteration information:
criteria.NewValue = 12345.6 / progress++;
} while (!criteria.HasConverged);
// The method will converge after reaching the
// maximum of 10 iterations with a final value
// of 1371.73:
int iterations = criteria.CurrentIteration; // 10
double value = criteria.OldValue; // 1371.7333333
Assert.AreEqual(10, criteria.CurrentIteration);
Assert.AreEqual(1371.7333333333333, criteria.OldValue);
}
/// <summary>
/// Initializes a new instance of the <see cref="BaseBaumWelchLearning"/> class.
/// </summary>
///
protected BaseBaumWelchLearning(IHiddenMarkovModel model)
{
this.convergence = new AbsoluteConvergence();
this.model = model;
}
/// <summary>
/// Creates a new instance of the Viterbi learning algorithm.
/// </summary>
///
public ViterbiLearning(HiddenMarkovModel model)
{
this.convergence = new AbsoluteConvergence();
this.mle = new MaximumLikelihoodLearning(model);
}
