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Core notion of features, usually denoted as arrays of data. Definitions of features for all primitive types, features with location and lists of features (both in memory and on disk).

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/*
	AUTOMATICALLY GENERATED BY jTemp FROM
	/Users/jon/Work/openimaj/target/checkout/core/core-feature/src/main/jtemp/org/openimaj/feature/Multidimensional#T#FV.jtemp
*/
/**
 * Copyright (c) 2011, The University of Southampton and the individual contributors.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without modification,
 * are permitted provided that the following conditions are met:
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 * 	this list of conditions and the following disclaimer.
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package org.openimaj.feature;

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.io.PrintWriter;
import java.io.Serializable;
import java.util.Scanner;

/**
 * Basic double multidimensional feature vector implementation
 *
 * @author Jonathon Hare
 */
public class MultidimensionalDoubleFV extends DoubleFV implements Serializable, Cloneable, FeatureVector {
	private static final long serialVersionUID = 1L;

	/**
	 * Array containing the number of bins in each dimension 
	 */
	public int nbins[];
	
	/**
	 * Construct an empty feature vector
	 */
	public MultidimensionalDoubleFV() {}

	/**
	 * Construct empty FV with given dimensions
	 * @param nbins the number of bins in each dimension
	 */
	public MultidimensionalDoubleFV(int... nbins) {
		super();
		
		if(nbins.length == 0) throw new IllegalArgumentException("must be at least one dimension");

		this.nbins = nbins;
		int sz=nbins[0];
		for (int i=1; i= multiply) throw new IllegalArgumentException();
		if(index < 0) throw new IllegalArgumentException();
		
		for (int i=ndims-1; i>=0; i--) {
			multiply/=nbins[i]; // divide the multiplier by the current slice
			int numberOfSlices = (int) Math.floor(index / multiply);
			start[i] = numberOfSlices;
			
			index = (int) (index - (numberOfSlices * multiply));
		}
		return start;
	}
}