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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This is the stable version. Apart from bugfixes, this version
does not receive any other updates.
/*
* 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.
*/
/*
* Associator.java
* Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
*
*/
package weka.associations;
import weka.core.Instances;
import weka.core.Capabilities;
public interface Associator {
/**
* Generates an associator. Must initialize all fields of the associator
* that are not being set via options (ie. multiple calls of buildAssociator
* must always lead to the same result). Must not change the dataset
* in any way.
*
* @param data set of instances serving as training data
* @exception Exception if the associator has not been
* generated successfully
*/
void buildAssociations(Instances data) throws Exception;
/**
* Returns the Capabilities of this associator. Derived associators have to
* override this method to enable capabilities.
*
* @return the capabilities of this object
* @see Capabilities
*/
Capabilities getCapabilities();
}
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