|
public static CreateModel3 ( double &sequences2, int &labels2 ) : HiddenMarkovClassifier |
||
| sequences2 | double | |
| labels2 | int | |
| Résultat | HiddenMarkovClassifier |
|
public void LogBackwardTest2()
{
double[][][] observations;
int[] labels;
var hmm = IndependentMarkovFunctionTest.CreateModel3(out observations, out labels);
MarkovMultivariateFunction function = new MarkovMultivariateFunction(hmm);
foreach (double[][] x in observations)
{
foreach (int y in labels)
{
double[,] actual = new double[x.Length, 5];
Accord.Statistics.Models.Fields.
ForwardBackwardAlgorithm.LogBackward(function.Factors[y], x, y, actual);
double[,] expected = new double[x.Length, 5];
Accord.Statistics.Models.Markov.
ForwardBackwardAlgorithm.LogBackward(hmm.Models[y], x, expected);
for (int i = 0; i < actual.GetLength(0); i++)
{
for (int j = 0; j < actual.GetLength(1); j++)
{
Assert.AreEqual(expected[i, j], actual[i, j], 1e-10);
Assert.IsFalse(Double.IsNaN(actual[i, j]));
}
}
}
}
}
public void ForwardTest2()
{
double[][][] observations;
int[] labels;
var hmm = IndependentMarkovFunctionTest.CreateModel3(out observations, out labels);
var function = new MarkovMultivariateFunction(hmm, includePriors: false);
foreach (double[][] x in observations)
{
foreach (int y in labels)
{
double[] scaling1;
double logLikelihood1;
double[,] actual = Accord.Statistics.Models.Fields.
ForwardBackwardAlgorithm.Forward(function.Factors[y], x, y, out scaling1, out logLikelihood1);
double[] scaling2;
double logLikelihood2;
double[,] expected = Accord.Statistics.Models.Markov.
ForwardBackwardAlgorithm.Forward(hmm.Models[y], x, out scaling2, out logLikelihood2);
for (int i = 0; i < actual.GetLength(0); i++)
{
for (int j = 0; j < actual.GetLength(1); j++)
{
Assert.AreEqual(expected[i, j], actual[i, j], 1e-10);
Assert.IsFalse(Double.IsNaN(actual[i, j]));
}
}
Assert.AreEqual(logLikelihood1, logLikelihood2, 1e-10);
for (int i = 0; i < scaling1.Length; i++)
{
Assert.IsTrue(scaling1[i].IsRelativelyEqual(scaling2[i], 1e-10));
Assert.IsFalse(Double.IsNaN(scaling1[i]));
Assert.IsFalse(Double.IsNaN(scaling2[i]));
}
}
}
}