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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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/*
 *   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 3 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, see .
 */

/*
 *    Remove.java
 *    Copyright (C) 1999-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.filters.unsupervised.attribute;

import java.util.ArrayList;
import java.util.Enumeration;
import java.util.Vector;

import weka.core.*;
import weka.core.Capabilities.Capability;
import weka.filters.Filter;
import weka.filters.StreamableFilter;
import weka.filters.UnsupervisedFilter;

/**
 *  An filter that removes a range of attributes from
 * the dataset. Will re-order the remaining attributes if invert matching sense
 * is turned on and the attribute column indices are not specified in ascending
 * order.
 * 

* * * Valid options are: *

* *

 * -R <index1,index2-index4,...>
 *  Specify list of columns to delete. First and last are valid
 *  indexes. (default none)
 * 
* *
 * -V
 *  Invert matching sense (i.e. only keep specified columns)
 * 
* * * * @author Len Trigg ([email protected]) * @version $Revision: 14817 $ */ public class Remove extends Filter implements UnsupervisedFilter, StreamableFilter, OptionHandler, WeightedAttributesHandler, WeightedInstancesHandler { /** for serialization */ static final long serialVersionUID = 5011337331921522847L; /** Stores which columns to select as a funky range */ protected Range m_SelectCols = new Range(); /** * Stores the indexes of the selected attributes in order, once the dataset is * seen */ protected int[] m_SelectedAttributes; /** * Constructor so that we can initialize the Range variable properly. */ public Remove() { m_SelectCols.setInvert(true); } /** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ @Override public Enumeration




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