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Massive On-line Analysis is an environment for massive data mining. MOA
provides a framework for data stream mining and includes tools for evaluation
and a collection of machine learning algorithms. Related to the WEKA project,
also written in Java, while scaling to more demanding problems.
/*
* Copyright 2007 University of Waikato.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
* either express or implied. See the License for the specific
* language governing permissions and limitations under the
* License.
*/
package com.github.javacliparser;
import java.io.Serializable;
/**
* Configurable interface.
*
* @author abifet
*/
public interface Configurable extends Serializable {
/**
* Gets the purpose of this object
*
* @return the string with the purpose of this object
*/
//public String getPurposeString();
/**
* Gets the options of this object
*
* @return the options of this object
*/
//public Options getOptions();
/**
* This method prepares this object for use.
*
*/
//public void prepareForUse();
/**
* This method prepares this object for use.
*
* @param monitor the TaskMonitor to use
* @param repository the ObjectRepository to use
*/
//public void prepareForUse(TaskMonitor monitor, ObjectRepository repository);
/**
* This method produces a copy of this object.
*
* @return a copy of this object
*/
//public Configurable copy();
/**
* Gets the Command Line Interface text to create the object
*
* @return the Command Line Interface text to create the object
*/
//public String getCLICreationString(Class> expectedType);
}
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