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ISupervisedLearning Interface

Note: This API is now obsolete.

Common interface for supervised learning algorithms for hidden Markov models such as the Maximum Likelihood (MLE) learning algorithm.

Namespace:  Accord.Statistics.Models.Markov.Learning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
[ObsoleteAttribute("Please use Accord.MachineLearning.ISupervisedLearning instead.")]
public interface ISupervisedLearning

The ISupervisedLearning type exposes the following members.

Public methodRun
Runs the learning algorithm.

In the context of hidden Markov models, supervised algorithms are algorithms which consider that both the sequence of observations and the sequence of states are visible (or known) during training. This is in contrast with unsupervised learning algorithms such as the Baum-Welch, which consider that the sequence of states is hidden.

See Also