net.myrrix.common.stats.IntWeightedMean.java Source code

Introduction

Here is the source code for net.myrrix.common.stats.IntWeightedMean.java

Source

/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package net.myrrix.common.stats;

import java.io.Serializable;

import org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic;

/**
 * <p>Like {@link DoubleWeightedMean} but uses {@code int} weights.</p>
 *
 * <p>This class is not thread-safe.</p>
 *
 * @author Sean Owen
 * @author Mahout
 * @since 1.0
 */
public final class IntWeightedMean extends AbstractStorelessUnivariateStatistic implements Serializable {

    private long totalWeight;
    private double mean;

    public IntWeightedMean() {
        this(0, Double.NaN);
    }

    private IntWeightedMean(long totalWeight, double mean) {
        this.totalWeight = totalWeight;
        this.mean = mean;
    }

    @Override
    public IntWeightedMean copy() {
        return new IntWeightedMean(totalWeight, mean);
    }

    @Override
    public void clear() {
        totalWeight = 0;
        mean = Double.NaN;
    }

    @Override
    public double getResult() {
        return mean;
    }

    @Override
    public long getN() {
        return totalWeight;
    }

    @Override
    public void increment(double datum) {
        increment(datum, 1);
    }

    public void increment(double datum, int weight) {
        long oldTotalWeight = totalWeight;
        totalWeight += weight;
        if (oldTotalWeight <= 0) {
            mean = datum;
        } else {
            mean = mean * oldTotalWeight / totalWeight + datum * weight / totalWeight;
        }
    }

    public void decrement(double datum) {
        decrement(datum, 1);
    }

    public void decrement(double datum, int weight) {
        long oldTotalWeight = totalWeight;
        totalWeight -= weight;
        if (totalWeight <= 0) {
            clear();
        } else {
            mean = mean * oldTotalWeight / totalWeight - datum * weight / totalWeight;
        }
    }

    @Override
    public String toString() {
        return Double.toString(mean);
    }

}