📄 maximizable.java
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/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet This software is provided under the terms of the Common Public License, version 1.0, as published by http://www.opensource.org. For further information, see the file `LICENSE' included with this distribution. *//** @author Andrew McCallum <a href="mailto:mccallum@cs.umass.edu">mccallum@cs.umass.edu</a> */package edu.umass.cs.mallet.base.maximize;import edu.umass.cs.mallet.base.types.*;public interface Maximizable{ public int getNumParameters (); public void getParameters (double[] buffer); public double getParameter (int index); public void setParameters (double[] params); public void setParameter (int index, double value); public interface ByValue extends Maximizable { public double getValue (); } public interface ByGradient extends Maximizable { public void getValueGradient (double[] buffer); public double getValue (); } public interface ByHessian extends Maximizable.ByGradient { public void getCostHessian (double[][] buffer); } public interface ByVotedPerceptron extends Maximizable { public int getNumInstances (); public void getValueGradientForInstance (int instanceIndex, double[] bufffer); } public interface ByGISUpdate extends Maximizable { public double getValue(); public void getGISUpdate (double[] buffer); } }
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