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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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//
// This file was generated by the JavaTM Architecture for XML Binding(JAXB) Reference Implementation, v2.0-b52-fcs 
// See http://java.sun.com/xml/jaxb 
// Any modifications to this file will be lost upon recompilation of the source schema. 
// Generated on: 2013.12.20 at 12:48:21 PM GMT 
//


package weka.core.pmml.jaxbbindings;

import javax.xml.bind.annotation.XmlEnum;
import javax.xml.bind.annotation.XmlEnumValue;


/**
 * Java class for MULTIPLE-MODEL-METHOD.
 * 
 * 
The following schema fragment specifies the expected content contained within this class.
 * 

 * 
 * <simpleType name="MULTIPLE-MODEL-METHOD">
 *   <restriction base="{http://www.w3.org/2001/XMLSchema}string">
 *     <enumeration value="majorityVote"/>
 *     <enumeration value="weightedMajorityVote"/>
 *     <enumeration value="average"/>
 *     <enumeration value="weightedAverage"/>
 *     <enumeration value="median"/>
 *     <enumeration value="max"/>
 *     <enumeration value="sum"/>
 *     <enumeration value="selectFirst"/>
 *     <enumeration value="selectAll"/>
 *     <enumeration value="modelChain"/>
 *   </restriction>
 * </simpleType>
 * 
 * 
 */
@XmlEnum
public enum MULTIPLEMODELMETHOD {

    @XmlEnumValue("average")
    AVERAGE("average"),
    @XmlEnumValue("majorityVote")
    MAJORITY_VOTE("majorityVote"),
    @XmlEnumValue("max")
    MAX("max"),
    @XmlEnumValue("median")
    MEDIAN("median"),
    @XmlEnumValue("modelChain")
    MODEL_CHAIN("modelChain"),
    @XmlEnumValue("selectAll")
    SELECT_ALL("selectAll"),
    @XmlEnumValue("selectFirst")
    SELECT_FIRST("selectFirst"),
    @XmlEnumValue("sum")
    SUM("sum"),
    @XmlEnumValue("weightedAverage")
    WEIGHTED_AVERAGE("weightedAverage"),
    @XmlEnumValue("weightedMajorityVote")
    WEIGHTED_MAJORITY_VOTE("weightedMajorityVote");
    private final String value;

    MULTIPLEMODELMETHOD(String v) {
        value = v;
    }

    public String value() {
        return value;
    }

    public static MULTIPLEMODELMETHOD fromValue(String v) {
        for (MULTIPLEMODELMETHOD c: MULTIPLEMODELMETHOD.values()) {
            if (c.value.equals(v)) {
                return c;
            }
        }
        throw new IllegalArgumentException(v.toString());
    }

}