/**
* Copyright (c) 2010, Regents of the University of Colorado All rights
* reserved.
*
* 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 University of Colorado at
* Boulder 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 THE COPYRIGHT OWNER OR CONTRIBUTORS 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.
*/
package clear.model;
import clear.train.kernel.AbstractKernel;
import com.carrotsearch.hppc.IntArrayList;
import java.io.BufferedReader;
/**
* Abstract model for multi-classification.
*
* @author Jinho D. Choi <b>Last update:</b> 11/5/2010
*/
abstract public class AbstractMultiModel extends AbstractModel {
public AbstractMultiModel(AbstractKernel kernel) {
super(kernel);
}
public AbstractMultiModel(String modelFile) {
super(modelFile);
}
public AbstractMultiModel(BufferedReader fin) {
super(fin);
}
public AbstractMultiModel(int nLabels, int nFeatures, int[] aLabels, double[] dWeights) {
super(nLabels, nFeatures, aLabels, dWeights);
}
abstract public void copyWeight(int label, double[] weight);
abstract public double[] getScores(int[] x);
abstract public double[] getScores(IntArrayList x);
}