protected static HiddenMarkovModelStateCreationType GetModelCreationType(IModelCreationParameters <TDistribution> parameters)
{
if (parameters.NumberOfStates.HasValue && !parameters.Delta.HasValue && parameters.Emissions == null)
{
if (parameters.NumberOfComponents.HasValue)
{
return(HiddenMarkovModelStateCreationType.NumberOfStatesAndNumberOfComponents);
}
return(HiddenMarkovModelStateCreationType.NumberOfStates);
}
if (parameters.NumberOfStates.HasValue && parameters.Delta.HasValue && parameters.Emissions == null)
{
if (parameters.NumberOfComponents.HasValue)
{
return(HiddenMarkovModelStateCreationType.NumberOfStatesAndDeltaAndNumberOfComponents);
}
return(HiddenMarkovModelStateCreationType.NumberOfStatesAndDelta);
}
if (parameters.NumberOfStates.HasValue && parameters.Emissions != null)
{
return(HiddenMarkovModelStateCreationType.NumberOfStatesAndEmissions);
}
if (parameters.NumberOfStates.HasValue && parameters.Delta.HasValue && parameters.Emissions != null)
{
return(HiddenMarkovModelStateCreationType.NumberOfStatesAndDeltaAndEmissions);
}
return(HiddenMarkovModelStateCreationType.PiAndTpmAndEmissions);
}
/// <summary>
///
/// </summary>
/// <typeparam name="TDistribution"></typeparam>
/// <param name="parameters"></param>
/// <returns></returns>
public static IHiddenMarkovModel <TDistribution> GetState <TDistribution>(IModelCreationParameters <TDistribution> parameters) where TDistribution : IDistribution
{
if (typeof(TDistribution).Name == "Mixture`1")
{
switch (typeof(TDistribution).GetGenericArguments()[0].FullName)
{
case "HmmDotNet.Statistics.Distributions.IMultivariateDistribution":
return((IHiddenMarkovModel <TDistribution>) new HiddenMarkovModel <Mixture <IMultivariateDistribution> >((IModelCreationParameters <Mixture <IMultivariateDistribution> >)parameters));
case "HmmDotNet.Statistics.Distributions.Multivariate.NormalDistribution":
return((IHiddenMarkovModel <TDistribution>) new HiddenMarkovModel <Mixture <Statistics.Distributions.Multivariate.NormalDistribution> >((IModelCreationParameters <Mixture <Statistics.Distributions.Multivariate.NormalDistribution> >)parameters));
}
}
else
{
switch (typeof(TDistribution).FullName)
{
case "HmmDotNet.Statistics.Distributions.IMultivariateDistribution":
return((IHiddenMarkovModel <TDistribution>) new HiddenMarkovModel <IMultivariateDistribution>((IModelCreationParameters <IMultivariateDistribution>)parameters));
case "HmmDotNet.Statistics.Distributions.Univariate.DiscreteDistribution":
return((IHiddenMarkovModel <TDistribution>) new HiddenMarkovModel <DiscreteDistribution>((IModelCreationParameters <DiscreteDistribution>)parameters));
case "HmmDotNet.Statistics.Distributions.Multivariate.NormalDistribution":
return((IHiddenMarkovModel <TDistribution>) new HiddenMarkovModel <Statistics.Distributions.Multivariate.NormalDistribution>((IModelCreationParameters <Statistics.Distributions.Multivariate.NormalDistribution>)parameters));
case "HmmDotNet.Statistics.Distributions.Univariate.NormalDistribution":
return((IHiddenMarkovModel <TDistribution>) new HiddenMarkovModel <Statistics.Distributions.Univariate.NormalDistribution>((IModelCreationParameters <Statistics.Distributions.Univariate.NormalDistribution>)parameters));
}
}
throw new InvalidOperationException("Type passed for parameter T is not supported with any implemented Hidden Markov Model");
}
public HiddenMarkovModel(IModelCreationParameters <TDistribution> parameters)
{
switch (GetModelCreationType(parameters))
{
case HiddenMarkovModelStateCreationType.NumberOfStates:
Create(parameters.NumberOfStates.Value);
break;
case HiddenMarkovModelStateCreationType.NumberOfStatesAndDelta:
Create(parameters.NumberOfStates.Value, parameters.Delta.Value);
break;
case HiddenMarkovModelStateCreationType.NumberOfStatesAndDeltaAndEmissions:
Create(parameters.NumberOfStates.Value, parameters.Delta.Value, parameters.Emissions);
break;
case HiddenMarkovModelStateCreationType.NumberOfStatesAndEmissions:
Create(parameters.NumberOfStates.Value, parameters.Emissions);
break;
case HiddenMarkovModelStateCreationType.PiAndTpmAndEmissions:
Create(parameters.Pi, parameters.TransitionProbabilityMatrix, parameters.Emissions);
break;
case HiddenMarkovModelStateCreationType.NumberOfStatesAndNumberOfComponents:
CreateMixture(parameters.NumberOfStates.Value, parameters.NumberOfComponents.Value);
break;
case HiddenMarkovModelStateCreationType.NumberOfStatesAndDeltaAndNumberOfComponents:
CreateMixture(parameters.NumberOfStates.Value, parameters.NumberOfComponents.Value, parameters.Delta.Value);
break;
default:
throw new InvalidOperationException("Combination of parameters passed is not supported by any Create method");
}
}
public HiddenMarkovModel(IModelCreationParameters <DiscreteDistribution> parameters)
: base(parameters)
{
}
public HiddenMarkovModelGaussianDistribution(IModelCreationParameters <NormalDistribution> parameters)
: base(parameters)
{
}
public HiddenMarkovModelMultivariateGaussianDistribution(IModelCreationParameters <IMultivariateDistribution> parameters) : base(parameters)
{
_initialize = (GetModelCreationType(parameters) == HiddenMarkovModelStateCreationType.NumberOfStates ||
GetModelCreationType(parameters) == HiddenMarkovModelStateCreationType.NumberOfStatesAndDelta);
}
public HiddenMarkovModelWeightedMixtureDistribution(IModelCreationParameters <Mixture <IMultivariateDistribution> > parameters)
: base(parameters)
{
_initialize = (GetModelCreationType(parameters) == HiddenMarkovModelStateCreationType.NumberOfStatesAndNumberOfComponents ||
GetModelCreationType(parameters) == HiddenMarkovModelStateCreationType.NumberOfStatesAndDeltaAndNumberOfComponents);
}
