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

Syntax

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[ObsoleteAttribute("Please use Accord.MachineLearning.ISupervisedLearning instead.")]
public interface ISupervisedLearning

<ObsoleteAttribute("Please use Accord.MachineLearning.ISupervisedLearning instead.")>
Public Interface ISupervisedLearning

The ISupervisedLearning type exposes the following members.

Methods

	Name	Description
	Run	Runs the learning algorithm.

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Remarks

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.

Reference

Accord.Statistics.Models.Markov.Learning Namespace