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• deeplearning4j-scaleout-akka-word2vec
• 0.0.3.1
• source code
• Datum.java

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org.deeplearning4j.word2vec.viterbi.Datum Maven / Gradle / Ivy

package org.deeplearning4j.word2vec.viterbi;

import java.util.*;

import org.deeplearning4j.word2vec.util.Window;


public class Datum {

	public final String word;
	public final String label;
	public List features;
	public String guessLabel;
	public String previousLabel;

	public Datum(String word, String label) {
		this.word = word;
		this.label = label;
	}


	public static List datums(List windows,List labels,List previousLabels,List> features) {
		List ret = new ArrayList();
		for(int i = 0; i < windows.size(); i++) {
			ret.add(create(windows.get(i),labels.get(i),previousLabels.get(i),features.get(i)));
		}
		
		
		return ret;
	}

	public static Datum create(Window window,String label,String prevLabel,List features) {
		Datum ret = new Datum(window.getFocusWord(),label);
		ret.previousLabel = prevLabel;
		ret.features = features;
		return ret;
	}

	public static Datum create(Window window,String label,String prevLabel) {
		Datum ret = new Datum(window.getFocusWord(),label);
		ret.previousLabel = prevLabel;
		return ret;
	}


}