datagenerator.java

wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器

/*
 *    This program is free software; you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation; either version 2 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with this program; if not, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 *   DataGenerator.java
 *   Copyright (C) 2002 Mark Hall
 *
 */

package weka.gui.boundaryvisualizer;

import weka.core.*;

/**
 * Interface to something that can generate new instances based on
 * a set of input instances
 *
 * @author <a href="mailto:[e-mail]">Mark Hall</a>
 * @version $Revision: 1.1.1.1 $
 * @since 1.0
 */
public interface DataGenerator {

  /**
   * Build the data generator
   *
   * @param inputInstances Instances to build the generator from
   * @exception Exception if an error occurs
   */
  void buildGenerator(Instances inputInstances) throws Exception;

  /**
   * Generate an instance. Should return a new Instance object
   *
   * @return an <code>Instance</code> value
   * @exception Exception if an error occurs
   */
  Instance generateInstance() throws Exception;

  /**
   * Generate an instance. Can reuse an existing instance object
   * for speed.
   *
   * @return an <code>Instance</code> value
   * @exception Exception if an error occurs
   */
  Instance generateInstanceFast() throws Exception;

  /**
   * Set the dimensions to be used in computing a weight for
   * each instance generated
   *
   * @param dimensions an array of booleans specifying the dimensions to
   * be used when computing instance weights
   */
  void setWeightingDimensions(boolean [] dimensions);

  /**
   * Set the values of the dimensions (chosen via setWeightingDimensions)
   * to be used when computing instance weights
   *
   * @param vals a <code>double[]</code> value
   */
  void setWeightingValues(double [] vals);

  /**
   * Returns the number of generating models used by this DataGenerator
   *
   * @return an <code>int</code> value
   */
  int getNumGeneratingModels();
}