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/*******************************************************************************
* Copyright (c) 2010-2020 Haifeng Li. All rights reserved.
*
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* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation, either version 3 of
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*
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* along with Smile. If not, see .
******************************************************************************/
package smile.stat.distribution;
/**
* The purpose of this interface is mainly to define the method M that is
* the Maximization step in the EM algorithm. Note that distributions of exponential
* family has the close-form solutions in the EM algorithm. With this interface,
* we may allow the mixture contains distributions of different form as long as
* it is from exponential family.
*
* @see ExponentialFamilyMixture
* @see DiscreteExponentialFamilyMixture
*
* @author Haifeng Li
*/
public interface DiscreteExponentialFamily {
/**
* The M step in the EM algorithm, which depends the specific distribution.
*
* @param x the input data for estimation
* @param posteriori the posteriori probability.
* @return the (unnormalized) weight of this distribution in the mixture.
*/
DiscreteMixture.Component M(int[] x , double[] posteriori);
}
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