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Adapt.h
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/*********************************************************************************
# Copyright (c) 2012, CyberPoint International, LLC
# All rights reserved.
#
# This software is offered under the NewBSD license:
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of the CyberPoint International, LLC nor the
# names of its contributors may be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL CYBERPOINT INTERNATIONAL, LLC BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
**********************************************************************************/
/*! \file Adapt.h
* \brief definitions for GMM adaptation
*/
#ifndef ADAPT_H_
#define ADAPT_H_
#include <vector>
#include "Matrix.h"
namespace gaussmix
{
/*! \brief adapt: adapt a Gaussian Mixture model to a given sub-population.
*
*
@param[in] X subpopulation data (dimensionality = sigma_matrix.num_cols)
@param[in] n number of data points in sub-pop
@param[in] sigma_matrix vector of covariance matrices from EM call
@param [in] mu_matrix cluster means returned from EM call
@param [in] Pks cluster weights returned by EM call
@param[out] adapted_sigma_matrix vector of covariance matrices
@param [out] adapted_mu_matrix cluster means
@param [out] adapted_Pks cluster weights
@return 1 on success, 0 on error
*/
int adapt(Matrix & X, int n, std::vector<Matrix*> &sigma_matrix,
Matrix &mu_matrix, std::vector<double> & Pks, std::vector<Matrix*> &adapted_sigma_matrix,
Matrix &adapted_mu_matrix, std::vector<double> &adapted_Pks);
#endif /* ADAPT_H_ */
}