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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.util.Arrays;
import com.yahoo.labs.samoa.instances.Range;
/**
* Range option.
*
* @author Jesse Read ([email protected])
* @version $Revision: 7 $
*/
public class RangeOption extends StringOption {
private static final long serialVersionUID = 1L;
public RangeOption(String name, char cliChar, String purpose, String defaultValue) {
super(name, cliChar, purpose, defaultValue);
}
/*
* This class will be like StringOption, but expect a string of numbers like Weka's Range
* e.g., 1,2,5-9,end will return something like [0,1,4,5,6,7,8,-1] which we will use later indicate e.g. multiple class attributes
*/
public void setRange(int indices[]) {
this.currentVal = Arrays.toString(indices); // "[1,2,3]"
this.currentVal = this.currentVal.substring(1,this.currentVal.length()-1); // "1,2,3"
}
public Range getRange() {
return new Range(this.getValue());
}
/*public int[] getRange() {
Range r = new Range(this.getValue());
return r.getSelection();
}*/
}