public void GetState_UnivariateAndNormalDistributionParameters_UnivariateAndNormalDistributionStateCreated()
{
var parameters = new ModelCreationParameters <HmmDotNet.Statistics.Distributions.Univariate.NormalDistribution>()
{
NumberOfStates = NumberOfStates
};
var model = HiddenMarkovModelStateFactory.GetState(parameters);
Assert.IsInstanceOfType(model, typeof(HiddenMarkovModel <HmmDotNet.Statistics.Distributions.Univariate.NormalDistribution>));
}
public void GetState_MixtureWithIMultivariateDistributionParameters_MixtureWithIMultivariateDistributionStateCreated()
{
var parameters = new ModelCreationParameters <Mixture <IMultivariateDistribution> >()
{
NumberOfStates = NumberOfStates
};
var model = HiddenMarkovModelStateFactory.GetState(parameters);
Assert.IsInstanceOfType(model, typeof(HiddenMarkovModel <Mixture <IMultivariateDistribution> >));
}
public void GetModel_DiscreteDistributionParameters_DiscreteDistributionStateCreated()
{
var parameters = new ModelCreationParameters <DiscreteDistribution>()
{
NumberOfStates = NumberOfStates
};
var model = HiddenMarkovModelFactory.GetModel(parameters);
Assert.IsInstanceOfType(model, typeof(HmmDotNet.MachineLearning.HiddenMarkovModel));
}
public void GetState_DiscreteDistributionParameters_DiscreteDistributionStateCreated()
{
var parameters = new ModelCreationParameters <DiscreteDistribution>()
{
NumberOfStates = NumberOfStates
};
var model = HiddenMarkovModelStateFactory.GetState(parameters);
Assert.IsInstanceOfType(model, typeof(HiddenMarkovModel <DiscreteDistribution>));
}
public void GetModel_IMultivariateDistributionParameters_IMultivariateDistributionStateCreated()
{
var parameters = new ModelCreationParameters <IMultivariateDistribution>()
{
NumberOfStates = NumberOfStates
};
var model = HiddenMarkovModelFactory.GetModel(parameters);
Assert.IsInstanceOfType(model, typeof(HiddenMarkovModelMultivariateGaussianDistribution));
}
