|
public Fit ( double observations, double weights, |
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| observations | double | The array of observations to fit the model against. The array /// elements can be either of type double (for univariate data) or /// type double[] (for multivariate data). |
| weights | double | The weight vector containing the weight for each of the samples. |
| options | Optional arguments which may be used during fitting, such /// as regularization constants and additional parameters. | |
| return | void | |
public void Fit(double[][] observations, double[] weights, HiddenMarkovOptions options)
{
if (options == null)
throw new ArgumentNullException("options");
options.Learning(model, observations, weights);
}
| HiddenMarkovDistribution::Fit ( double observations, double weights, Fitting options ) : void |
