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📄 classstreamattvalvec.java

📁 用于multivariate时间序列分类
💻 JAVA
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/**  * Interface for a set of attribute value pairs, including the  * classification.  *  * When you think about it, the classification of a set of instances  * and the instances themselves are separate. For example, a different  * representation of the stream still has the same class.   * This technique of having a representation for streams and classifications  * separately simplifies representation conversion (which, as you can guess,   * we do in several places in the code, since representation conversion  * is the basis of the learning algorithm).   *  *  *   * @author Waleed Kadous  * @version $Id: ClassStreamAttValVec.java,v 1.1.1.1 2002/06/28 07:36:16 waleed Exp $   */package tclass;   public class ClassStreamAttValVec implements ClassStreamAttValVecI {    /**     * Returns true if the class has a ClassificationVecI associated with      * it.      */    private boolean hasClassification = false;     private ClassificationVecI classnvec;     private StreamAttValVecI streams;         public ClassStreamAttValVec(){    }        public boolean hasClassification(){	return hasClassification;     }    public StreamAttValVecI getStreamAttValVec(){	return streams;     }        public void setStreamAttValVec(StreamAttValVecI savv){	streams = savv;     }    public ClassificationVecI getClassVec(){	return classnvec;     }    public void setClassVec(ClassificationVecI classes){	hasClassification = true; 	classnvec = classes;     }        /**     * Adds an instance and its classification to this object.      */       public void add(StreamAttValI savi, ClassificationI classn){	classnvec.add(classn); 	streams.add(savi);     }    public int size(){	return streams.size();     }        public String toString(){	int numEls = size(); 	String retval = "ClassStream has " + numEls + " elements\n"; 	for(int i=0; i < numEls; i++){	    retval += "Str: " + streams.elAt(i).toString() + 		"Class: " + classnvec.elAt(i).toString(); 	}	return retval;     }}

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