org.streaminer.stream.histogram.spdt.Bin.java Source code

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Here is the source code for org.streaminer.stream.histogram.spdt.Bin.java

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/**
 * Copyright 2013 BigML
 * Licensed under the Apache License, Version 2.0
 * http://www.apache.org/licenses/LICENSE-2.0
 */
package org.streaminer.stream.histogram.spdt;

import org.streaminer.util.math.NumberUtil;
import java.text.DecimalFormat;
import org.json.simple.JSONArray;

public class Bin<T extends Target> implements Comparable<Bin> {

    public Bin(double mean, double count, T target) {
        /* Hack to avoid Java's negative zero */
        if (mean == 0d) {
            _mean = 0d;
        } else {
            _mean = mean;
        }
        _count = count;
        _target = target;
    }

    public Bin(Bin<T> bin) {
        this(bin.getMean(), bin.getCount(), (T) bin.getTarget().clone());
    }

    public JSONArray toJSON(DecimalFormat format) {
        JSONArray binJSON = new JSONArray();
        binJSON.add(NumberUtil.roundNumber(_mean, format));
        binJSON.add(NumberUtil.roundNumber(_count, format));
        _target.addJSON(binJSON, format);
        return binJSON;
    }

    public double getCount() {
        return _count;
    }

    public double getMean() {
        return _mean;
    }

    public double getWeight() {
        return _mean * (double) _count;
    }

    public T getTarget() {
        return _target;
    }

    public void sumUpdate(Bin bin) {
        _count += bin.getCount();
        _target.sum(bin.getTarget());
    }

    public void update(Bin bin) throws BinUpdateException {
        if (_mean != bin.getMean()) {
            throw new BinUpdateException("Bins must have matching means to update");
        }

        _count = bin.getCount();
        _target = (T) bin.getTarget();
    }

    @Override
    public String toString() {
        return toJSON(new DecimalFormat(Histogram.DEFAULT_FORMAT_STRING)).toJSONString();
    }

    public Bin combine(Bin<T> bin) {
        double count = getCount() + bin.getCount();
        double mean = (getWeight() + bin.getWeight()) / (double) count;
        T newTarget = (T) _target.init();
        newTarget.sum(_target);
        newTarget.sum(bin.getTarget());
        return new Bin<T>(mean, count, newTarget);
    }

    @Override
    public boolean equals(Object obj) {
        if (obj == null) {
            return false;
        }
        if (getClass() != obj.getClass()) {
            return false;
        }
        final Bin<T> other = (Bin<T>) obj;
        return Double.doubleToLongBits(_mean) == Double.doubleToLongBits(other._mean);
    }

    @Override
    public int hashCode() {
        int hash = 3;
        hash = 97 * hash + (int) (Double.doubleToLongBits(_mean) ^ (Double.doubleToLongBits(_mean) >>> 32));
        return hash;
    }

    private T _target;
    private final double _mean;
    private double _count;

    public int compareTo(Bin o) {
        return Double.compare(getMean(), o.getMean());
    }
}