public string GetPhrase(int phraseIndex)
{
XmmInterface.setCurrentSetInstance(thisIndex);
IntPtr phraseIntPtr = XmmInterface.getPhrase(phraseIndex);
return(Marshal.PtrToStringAnsi(phraseIntPtr));
}
public float[] getRegression()
{
int nModels = XmmInterface.getNbOfModels();
float[] outputValues = new float[nModels];
IntPtr intPtrOutputValues = XmmInterface.getLikelihoods();
Marshal.Copy(intPtrOutputValues, outputValues, 0, nModels);
return(outputValues);
}
public float[] getTimeProgressions()
{
int nModels = XmmInterface.getNbOfModels();
float[] timeProgressions = new float[nModels];
IntPtr intPtrTimeProgressions = XmmInterface.getTimeProgressions();
Marshal.Copy(intPtrTimeProgressions, timeProgressions, 0, nModels);
return(timeProgressions);
}
public float[] getLikelihoods()
{
int nModels = XmmInterface.getNbOfModels();
float[] likelihoods = new float[nModels];
IntPtr intPtrLikelihoods = XmmInterface.getLikelihoods();
Marshal.Copy(intPtrLikelihoods, likelihoods, 0, nModels);
return(likelihoods);
}
public void filter(float[] observation)
{
IntPtr intPtrFArray = Marshal.AllocHGlobal(observation.Length * sizeof(float));
Marshal.Copy(observation, 0, intPtrFArray, observation.Length);
XmmInterface.filter(intPtrFArray, observation.Length);
Marshal.FreeHGlobal(intPtrFArray);
}
public float[] GetTimeProgressions()
{
XmmInterface.setCurrentModelInstance(thisIndex);
int nModels = XmmInterface.getNbOfModels();
float[] timeProgressions = new float[nModels];
IntPtr intPtrTimeProgressions = XmmInterface.getTimeProgressions();
Marshal.Copy(intPtrTimeProgressions, timeProgressions, 0, nModels);
return(timeProgressions);
}
//==========================================================================//
//================= Wrapper methods for the native plugin ==================//
//==========================================================================//
public void addPhraseFromData(string label, string[] colNames, float[] phrase,
int dimIn, int dimOut)
{
IntPtr unmanagedFArray = Marshal.AllocHGlobal(phrase.Length * sizeof(float));
Marshal.Copy(phrase, 0, unmanagedFArray, phrase.Length);
XmmInterface.addPhraseFromData(label, colNames, unmanagedFArray,
dimIn, dimOut, phrase.Length / (dimIn + dimOut));
Marshal.FreeHGlobal(unmanagedFArray);
}
public float[] GetRegression()
{
XmmInterface.setCurrentModelInstance(thisIndex);
int nModels = XmmInterface.getNbOfModels();
float[] outputValues = new float[nModels];
IntPtr intPtrOutputValues = XmmInterface.getLikelihoods();
Marshal.Copy(intPtrOutputValues, outputValues, 0, nModels);
return(outputValues);
}
public float[] GetLikelihoods()
{
XmmInterface.setCurrentModelInstance(thisIndex);
int nModels = XmmInterface.getNbOfModels();
float[] likelihoods = new float[nModels];
IntPtr intPtrLikelihoods = XmmInterface.getLikelihoods();
Marshal.Copy(intPtrLikelihoods, likelihoods, 0, nModels);
return(likelihoods);
}
public void Filter(float[] observation)
{
XmmInterface.setCurrentModelInstance(thisIndex);
IntPtr intPtrFArray = Marshal.AllocHGlobal(observation.Length * sizeof(float));
Marshal.Copy(observation, 0, intPtrFArray, observation.Length);
XmmInterface.filter(intPtrFArray, observation.Length);
Marshal.FreeHGlobal(intPtrFArray);
}
public string[] getTrainingSetLabels()
{
int nLabels = XmmInterface.getTrainingSetNbOfLabels();
string[] labels = new string[nLabels];
IntPtr stringArrayIntPtr = XmmInterface.getTrainingSetLabels();
for (int i = 0; i < nLabels; i++)
{
IntPtr currentIntPtr = Marshal.ReadIntPtr(stringArrayIntPtr, i * IntPtr.Size);
labels[i] = Marshal.PtrToStringAnsi(currentIntPtr);
}
return(labels);
}
public string[] GetLabels()
{
XmmInterface.setCurrentModelInstance(thisIndex);
int nLabels = XmmInterface.getNbOfModels();
string[] labels = new string[nLabels];
IntPtr stringArrayIntPtr = XmmInterface.getModelLabels();
for (int i = 0; i < nLabels; i++)
{
IntPtr currentIntPtr = Marshal.ReadIntPtr(stringArrayIntPtr, i * IntPtr.Size);
labels[i] = Marshal.PtrToStringAnsi(currentIntPtr);
}
return(labels);
}
public void Clear()
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.clearModel();
}
//==========================================================================//
public int GetLikelihoodWindow()
{
XmmInterface.setCurrentModelInstance(thisIndex);
return(XmmInterface.getLikelihoodWindow());
}
public void SetLikelihoodWindow(int window)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setLikelihoodWindow(window);
}
public void SetTransitionMode(int transitionMode)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setTransitionMode(transitionMode);
}
public void SetRegressionEstimator(int regressionEstimator)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setRegressionEstimator(regressionEstimator);
}
public int GetStates()
{
XmmInterface.setCurrentModelInstance(thisIndex);
return(XmmInterface.getStates());
}
public bool GetHierarchical()
{
XmmInterface.setCurrentModelInstance(thisIndex);
return(XmmInterface.getHierarchical() != 0);
}
public string GetFilteringResults()
{
XmmInterface.setCurrentModelInstance(thisIndex);
return(Marshal.PtrToStringAnsi(XmmInterface.getFilteringResults()));
}
public int GetTransitionMode()
{
XmmInterface.setCurrentModelInstance(thisIndex);
return(XmmInterface.getTransitionMode());
}
public void SetRelativeRegularization(float relReg)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setRelativeRegularization(relReg);
}
//==========================================================================//
public void SetGaussians(int gaussians)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setGaussians(gaussians);
}
public int GetRegressionEstimator()
{
XmmInterface.setCurrentModelInstance(thisIndex);
return(XmmInterface.getRegressionEstimator());
}
public string GetLikeliest()
{
XmmInterface.setCurrentModelInstance(thisIndex);
return(Marshal.PtrToStringAnsi(XmmInterface.getLikeliest()));
}
public void SetHierarchical(bool hierarchical)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setHierarchical(hierarchical ? 1 : 0);
}
public void SetAbsoluteRegularization(float absReg)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setAbsoluteRegularization(absReg);
}
public void SetStates(int states)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setStates(states);
}
public void Reset()
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.reset();
}
public void SetCovarianceMode(int covarianceMode)
{
XmmInterface.setCurrentModelInstance(thisIndex);
XmmInterface.setCovarianceMode(covarianceMode);
}