public static void CreateModelFromFrames(string readPath, string writePath)
{
SequenceList seq = Utils.FramesToSequenceList(Utils.LoadListListFrame(readPath));
HiddenMarkovModel <MultivariateNormalDistribution> hmm;
MultivariateNormalDistribution mnd = new MultivariateNormalDistribution(seq.GetArray()[0][0].Length);
hmm = new HiddenMarkovModel <MultivariateNormalDistribution>(new Forward(5), mnd);
var teacher = new BaumWelchLearning <MultivariateNormalDistribution>(hmm);
teacher.Tolerance = 0.0001;
teacher.Iterations = 0;
teacher.FittingOptions = new NormalOptions()
{
Diagonal = true, // only diagonal covariance matrices
Regularization = 1e-5 // avoid non-positive definite errors
};
double logLikelihood = teacher.Run(seq.GetArray());
Debug.Log(readPath + " - " + seq.sequences.Count + " - " + logLikelihood);
hmm.Save(writePath);
}
/*public static void SaveSequenceList(SequenceList seqList, string path)
* {
* Stream writeStream = new FileStream(path, FileMode.Create, FileAccess.Write, FileShare.None);
* seqList.Save(writeStream);
* writeStream.Close();
* }
*
* public static SequenceList LoadSequenceList(string path)
* {
* Stream readStream = new FileStream(path, FileMode.Open, FileAccess.Read, FileShare.Read);
* SequenceList seqList = SequenceList.Load(readStream);
* readStream.Close();
* return seqList;
* }*/
public static HiddenMarkovModel <MultivariateNormalDistribution> CreateModelFromFrames(List <List <Frame> > frames)
{
SequenceList sequences = Utils.FramesToSequenceList(frames);
HiddenMarkovModel <MultivariateNormalDistribution> hmm;
MultivariateNormalDistribution mnd = new MultivariateNormalDistribution(sequences.GetDimensions());
hmm = new HiddenMarkovModel <MultivariateNormalDistribution>(new Forward(5), mnd);
var teacher = new BaumWelchLearning <MultivariateNormalDistribution>(hmm);
teacher.Tolerance = 0.0001;
teacher.Iterations = 0;
teacher.FittingOptions = new NormalOptions()
{
Diagonal = true, // only diagonal covariance matrices
Regularization = 1e-5 // avoid non-positive definite errors
};
teacher.Run(sequences.GetArray());
return(hmm);
}