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📄 localxelopesservice.java

📁 一个数据挖掘软件ALPHAMINERR的整个过程的JAVA版源代码
💻 JAVA
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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 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.
 */

 /**
  * Title: XELOPES Data Mining Library
  * Description: The XELOPES library is an open platform-independent and data-source-independent library for Embedded Data Mining.
  * Copyright: Copyright (c) 2002 Prudential Systems Software GmbH
  * Company: ZSoft (www.zsoft.ru), Prudsys (www.prudsys.com)
  * @author Valentine Stepanenko (valentine.stepanenko@zsoft.ru)
  * @author Victor Borichev
  * @version 1.1
  */

package com.prudsys.pdm.Adapters.ServiceAPI;

import com.prudsys.pdm.Core.*;
import com.prudsys.pdm.Input.*;

 /**
  * Extends XelopesService for a pure local use. Here instead
  * of the method buildModelService of XelopesService with
  * a data source identifier, the mining input stream is used
  * directly.
  *
  * This interface could be applied when the user likes
  * a very simple interface to call XELOPES algorithms because
  * here he can enter all algorithm parameters through the
  * simple ServiceAlgorithParameter array.
  *
  * Consequently, no apply method is required because the
  * mining model and mining input objects are local available.
  */
public interface LocalXelopesService extends XelopesService {

   /**
    * Builds mining model by the service and returns the model for futher use.
    *
    * @param algorithm algorithm name
    * @param parameters algorithm parameters
    * @param source mining input stream of data source
    * @return mining model
    * @throws MiningException cannot build model
    */
   public MiningModel buildModelService(String algorithm, ServiceAlgorithmParameter[] parameters,
                                        MiningInputStream source) throws MiningException;

}

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