public void Train_CoefficientsAndDistributions_TrainedModel()
{
var model = new GaussianMixtureModel(_coefficients, _distributions);
model.Train(_observations, 100, LikelihoodTolerance);
Assert.AreEqual(Math.Round(model.Likelihood, 4), -95.5274);
Assert.AreEqual(model.Mixture.Dimension, 4);
}
public void Predict_CoefficientsAndDistributions_Prediction()
{
var model = new GaussianMixtureModel(_coefficients, _distributions);
model.Train(_observations, 100, LikelihoodTolerance);
var prediction = model.Predict(_observations, null);
Assert.AreEqual(prediction.Predicted[0][0], 32.480000000000004);
Assert.AreEqual(prediction.Predicted[0][1], 32.94);
Assert.AreEqual(prediction.Predicted[0][2], 32.24);
Assert.AreEqual(prediction.Predicted[0][3], 33.03);
}